Your IP : 18.118.164.100
<!DOCTYPE html>
<html class="no-js" lang="nl-NL">
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title></title>
<style>
#wpadminbar #wp-admin-bar-vtrts_free_top_button .ab-icon:before {
content: "\f185";
color: #1DAE22;
top: 3px;
}
</style>
<style>img:is([sizes="auto" i], [sizes^="auto," i]) { contain-intrinsic-size: 3000px 1500px }</style>
<style id="classic-theme-styles-inline-css" type="text/css">
/*! This file is auto-generated */
.wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc( + 2px);font-size:}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none}
</style>
<style id="global-styles-inline-css" type="text/css">
:root{--wp--preset--aspect-ratio--square: 1;--wp--preset--aspect-ratio--4-3: 4/3;--wp--preset--aspect-ratio--3-4: 3/4;--wp--preset--aspect-ratio--3-2: 3/2;--wp--preset--aspect-ratio--2-3: 2/3;--wp--preset--aspect-ratio--16-9: 16/9;--wp--preset--aspect-ratio--9-16: 9/16;--wp--preset--color--black: #000000;--wp--preset--color--cyan-bluish-gray: #abb8c3;--wp--preset--color--white: #ffffff;--wp--preset--color--pale-pink: #f78da7;--wp--preset--color--vivid-red: #cf2e2e;--wp--preset--color--luminous-vivid-orange: #ff6900;--wp--preset--color--luminous-vivid-amber: #fcb900;--wp--preset--color--light-green-cyan: #7bdcb5;--wp--preset--color--vivid-green-cyan: #00d084;--wp--preset--color--pale-cyan-blue: #8ed1fc;--wp--preset--color--vivid-cyan-blue: #0693e3;--wp--preset--color--vivid-purple: #9b51e0;--wp--preset--gradient--vivid-cyan-blue-to-vivid-purple: linear-gradient(135deg,rgba(6,147,227,1) 0%,rgb(155,81,224) 100%);--wp--preset--gradient--light-green-cyan-to-vivid-green-cyan: linear-gradient(135deg,rgb(122,220,180) 0%,rgb(0,208,130) 100%);--wp--preset--gradient--luminous-vivid-amber-to-luminous-vivid-orange: linear-gradient(135deg,rgba(252,185,0,1) 0%,rgba(255,105,0,1) 100%);--wp--preset--gradient--luminous-vivid-orange-to-vivid-red: linear-gradient(135deg,rgba(255,105,0,1) 0%,rgb(207,46,46) 100%);--wp--preset--gradient--very-light-gray-to-cyan-bluish-gray: linear-gradient(135deg,rgb(238,238,238) 0%,rgb(169,184,195) 100%);--wp--preset--gradient--cool-to-warm-spectrum: linear-gradient(135deg,rgb(74,234,220) 0%,rgb(151,120,209) 20%,rgb(207,42,186) 40%,rgb(238,44,130) 60%,rgb(251,105,98) 80%,rgb(254,248,76) 100%);--wp--preset--gradient--blush-light-purple: linear-gradient(135deg,rgb(255,206,236) 0%,rgb(152,150,240) 100%);--wp--preset--gradient--blush-bordeaux: linear-gradient(135deg,rgb(254,205,165) 0%,rgb(254,45,45) 50%,rgb(107,0,62) 100%);--wp--preset--gradient--luminous-dusk: linear-gradient(135deg,rgb(255,203,112) 0%,rgb(199,81,192) 50%,rgb(65,88,208) 100%);--wp--preset--gradient--pale-ocean: linear-gradient(135deg,rgb(255,245,203) 0%,rgb(182,227,212) 50%,rgb(51,167,181) 100%);--wp--preset--gradient--electric-grass: linear-gradient(135deg,rgb(202,248,128) 0%,rgb(113,206,126) 100%);--wp--preset--gradient--midnight: linear-gradient(135deg,rgb(2,3,129) 0%,rgb(40,116,252) 100%);--wp--preset--font-size--small: 13px;--wp--preset--font-size--medium: 20px;--wp--preset--font-size--large: 36px;--wp--preset--font-size--x-large: 42px;--wp--preset--spacing--20: ;--wp--preset--spacing--30: ;--wp--preset--spacing--40: 1rem;--wp--preset--spacing--50: ;--wp--preset--spacing--60: ;--wp--preset--spacing--70: ;--wp--preset--spacing--80: ;--wp--preset--shadow--natural: 6px 6px 9px rgba(0, 0, 0, 0.2);--wp--preset--shadow--deep: 12px 12px 50px rgba(0, 0, 0, 0.4);--wp--preset--shadow--sharp: 6px 6px 0px rgba(0, 0, 0, 0.2);--wp--preset--shadow--outlined: 6px 6px 0px -3px rgba(255, 255, 255, 1), 6px 6px rgba(0, 0, 0, 1);--wp--preset--shadow--crisp: 6px 6px 0px rgba(0, 0, 0, 1);}:where(.is-layout-flex){gap: ;}:where(.is-layout-grid){gap: ;}body .is-layout-flex{display: flex;}.is-layout-flex{flex-wrap: wrap;align-items: center;}.is-layout-flex > :is(*, div){margin: 0;}body .is-layout-grid{display: grid;}.is-layout-grid > :is(*, div){margin: 0;}:where(.){gap: 2em;}:where(.){gap: 2em;}:where(.){gap: ;}:where(.){gap: ;}.has-black-color{color: var(--wp--preset--color--black) !important;}.has-cyan-bluish-gray-color{color: var(--wp--preset--color--cyan-bluish-gray) !important;}.has-white-color{color: var(--wp--preset--color--white) !important;}.has-pale-pink-color{color: var(--wp--preset--color--pale-pink) !important;}.has-vivid-red-color{color: var(--wp--preset--color--vivid-red) !important;}.has-luminous-vivid-orange-color{color: var(--wp--preset--color--luminous-vivid-orange) !important;}.has-luminous-vivid-amber-color{color: var(--wp--preset--color--luminous-vivid-amber) !important;}.has-light-green-cyan-color{color: var(--wp--preset--color--light-green-cyan) !important;}.has-vivid-green-cyan-color{color: var(--wp--preset--color--vivid-green-cyan) !important;}.has-pale-cyan-blue-color{color: var(--wp--preset--color--pale-cyan-blue) !important;}.has-vivid-cyan-blue-color{color: var(--wp--preset--color--vivid-cyan-blue) !important;}.has-vivid-purple-color{color: var(--wp--preset--color--vivid-purple) !important;}.has-black-background-color{background-color: var(--wp--preset--color--black) !important;}.has-cyan-bluish-gray-background-color{background-color: var(--wp--preset--color--cyan-bluish-gray) !important;}.has-white-background-color{background-color: var(--wp--preset--color--white) !important;}.has-pale-pink-background-color{background-color: var(--wp--preset--color--pale-pink) !important;}.has-vivid-red-background-color{background-color: var(--wp--preset--color--vivid-red) !important;}.has-luminous-vivid-orange-background-color{background-color: var(--wp--preset--color--luminous-vivid-orange) !important;}.has-luminous-vivid-amber-background-color{background-color: var(--wp--preset--color--luminous-vivid-amber) !important;}.has-light-green-cyan-background-color{background-color: var(--wp--preset--color--light-green-cyan) !important;}.has-vivid-green-cyan-background-color{background-color: var(--wp--preset--color--vivid-green-cyan) !important;}.has-pale-cyan-blue-background-color{background-color: var(--wp--preset--color--pale-cyan-blue) !important;}.has-vivid-cyan-blue-background-color{background-color: var(--wp--preset--color--vivid-cyan-blue) !important;}.has-vivid-purple-background-color{background-color: var(--wp--preset--color--vivid-purple) !important;}.has-black-border-color{border-color: var(--wp--preset--color--black) !important;}.has-cyan-bluish-gray-border-color{border-color: var(--wp--preset--color--cyan-bluish-gray) !important;}.has-white-border-color{border-color: var(--wp--preset--color--white) !important;}.has-pale-pink-border-color{border-color: var(--wp--preset--color--pale-pink) !important;}.has-vivid-red-border-color{border-color: var(--wp--preset--color--vivid-red) !important;}.has-luminous-vivid-orange-border-color{border-color: var(--wp--preset--color--luminous-vivid-orange) !important;}.has-luminous-vivid-amber-border-color{border-color: var(--wp--preset--color--luminous-vivid-amber) !important;}.has-light-green-cyan-border-color{border-color: var(--wp--preset--color--light-green-cyan) !important;}.has-vivid-green-cyan-border-color{border-color: var(--wp--preset--color--vivid-green-cyan) !important;}.has-pale-cyan-blue-border-color{border-color: var(--wp--preset--color--pale-cyan-blue) !important;}.has-vivid-cyan-blue-border-color{border-color: var(--wp--preset--color--vivid-cyan-blue) !important;}.has-vivid-purple-border-color{border-color: var(--wp--preset--color--vivid-purple) !important;}.has-vivid-cyan-blue-to-vivid-purple-gradient-background{background: var(--wp--preset--gradient--vivid-cyan-blue-to-vivid-purple) !important;}.has-light-green-cyan-to-vivid-green-cyan-gradient-background{background: var(--wp--preset--gradient--light-green-cyan-to-vivid-green-cyan) !important;}.has-luminous-vivid-amber-to-luminous-vivid-orange-gradient-background{background: var(--wp--preset--gradient--luminous-vivid-amber-to-luminous-vivid-orange) !important;}.has-luminous-vivid-orange-to-vivid-red-gradient-background{background: var(--wp--preset--gradient--luminous-vivid-orange-to-vivid-red) !important;}.has-very-light-gray-to-cyan-bluish-gray-gradient-background{background: var(--wp--preset--gradient--very-light-gray-to-cyan-bluish-gray) !important;}.has-cool-to-warm-spectrum-gradient-background{background: var(--wp--preset--gradient--cool-to-warm-spectrum) !important;}.has-blush-light-purple-gradient-background{background: var(--wp--preset--gradient--blush-light-purple) !important;}.has-blush-bordeaux-gradient-background{background: var(--wp--preset--gradient--blush-bordeaux) !important;}.has-luminous-dusk-gradient-background{background: var(--wp--preset--gradient--luminous-dusk) !important;}.has-pale-ocean-gradient-background{background: var(--wp--preset--gradient--pale-ocean) !important;}.has-electric-grass-gradient-background{background: var(--wp--preset--gradient--electric-grass) !important;}.has-midnight-gradient-background{background: var(--wp--preset--gradient--midnight) !important;}.has-small-font-size{font-size: var(--wp--preset--font-size--small) !important;}.has-medium-font-size{font-size: var(--wp--preset--font-size--medium) !important;}.has-large-font-size{font-size: var(--wp--preset--font-size--large) !important;}.has-x-large-font-size{font-size: var(--wp--preset--font-size--x-large) !important;}
:where(.){gap: ;}:where(.){gap: ;}
:where(.){gap: 2em;}:where(.){gap: 2em;}
:root :where(.wp-block-pullquote){font-size: ;line-height: 1.6;}
</style>
<style id="futurio-stylesheet-inline-css" type="text/css">
.full-head-img {
padding-bottom: 60px;
padding-top: 60px;
}., ., .futurio-woo-content {
padding-left: 0%;
padding-right: 0%;
}
</style>
<style>
.:nth-of-type(n+4):not(.e-lazyloaded):not(.e-no-lazyload),
.:nth-of-type(n+4):not(.e-lazyloaded):not(.e-no-lazyload) * {
background-image: none !important;
}
@media screen and (max-height: 1024px) {
.:nth-of-type(n+3):not(.e-lazyloaded):not(.e-no-lazyload),
.:nth-of-type(n+3):not(.e-lazyloaded):not(.e-no-lazyload) * {
background-image: none !important;
}
}
@media screen and (max-height: 640px) {
.:nth-of-type(n+2):not(.e-lazyloaded):not(.e-no-lazyload),
.:nth-of-type(n+2):not(.e-lazyloaded):not(.e-no-lazyload) * {
background-image: none !important;
}
}
</style>
<style type="text/css" id="futurio-header-css">
.site-title,
.site-description {
position: absolute;
clip: rect(1px, 1px, 1px, 1px);
}
</style>
<style id="kirki-inline-styles">body, a, .nav-subtitle{font-size:17px;font-weight:500;letter-spacing:0px;line-height:1.6;}.news-item a{font-size:26px;font-weight:300;letter-spacing:0px;line-height:1.6;}.news-item .post-excerpt{font-size:16px;font-weight:300;letter-spacing:0px;line-height:1.6;}.top-bar-section{font-size:15px;letter-spacing:0px;text-transform:none;}.site-branding-text a:hover, .site-branding-text .site-title a:hover, .site-branding-text , .site-branding-text .site-title, .site-branding-text a, .site-branding-text .site-title a{font-family:Roboto;font-size:28px;font-weight:900;letter-spacing:0px;line-height:32px;text-transform:uppercase;color:#000000;}{font-size:15px;letter-spacing:0px;line-height:22px;text-transform:none;}#site-navigation, #site-navigation .navbar-nav > li > a, #site-navigation .dropdown-menu > li > a{font-size:13px;letter-spacing:2px;text-transform:uppercase;}#sidebar .widget-title h3{font-size:20px;font-weight:400;letter-spacing:0px;line-height:1.6;}.widget{font-size:15px;font-weight:400;letter-spacing:0px;line-height:1.6;}#content-footer-section .widget{font-size:15px;font-weight:400;letter-spacing:0px;text-transform:none;}#content-footer-section .widget-title h3{font-size:15px;font-weight:400;letter-spacing:0px;line-height:1.6;}.heading-row .site-heading{padding-bottom:15px;padding-top:15px;}.{height:80px;}.site-branding-logo img{max-height:80px;}.heading-menu .site-branding-logo img{padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.heading-menu .site-branding-text{padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.shrink .{height:50px;}.shrink .site-branding-logo img{max-height:50px;}.shrink .heading-menu .site-branding-logo img{padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.shrink .heading-menu .site-branding-text{padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.navbar-nav .menu-button {-webkit-border-radius:3px;-moz-border-radius:3px;border-radius:3px;}.futurio-content{padding-left:10%;padding-right:10%;}.full-head-img{padding-bottom:51px;padding-top:51px;}.full-head-img:after{background-color:rgba(41,152,249,);}.news-thumb img{-webkit-border-radius:46px;-moz-border-radius:46px;border-radius:46px;-webkit-box-shadow:0px 0px 11px 0px rgba(0,0,0,);-moz-box-shadow:0px 0px 11px 0px rgba(0,0,0,);box-shadow:0px 0px 11px 0px rgba(0,0,0,);}@media (max-width: 992px){.heading-row .site-heading{padding-bottom:15px;padding-top:15px;}}@media (max-width: 768px){.heading-row .site-heading{padding-bottom:15px;padding-top:15px;}}@media (min-width: 992px){.{width:25%;}}@media (min-width: 768px){.navbar-nav > li > a, .menu-cart, .menu-account, .top-search-icon, .menu-button, .offcanvas-sidebar-toggle{padding-top:30px;padding-right:10px;padding-bottom:30px;padding-left:10px;}.shrink .navbar-nav > li > a, .shrink .top-search-icon, .shrink .menu-cart, .shrink .menu-account, .shrink .menu-button, .shrink .offcanvas-sidebar-toggle{padding-top:15px;padding-right:10px;padding-bottom:15px;padding-left:10px;}}/* cyrillic-ext */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
}
/* cyrillic */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
}
/* greek-ext */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+1F00-1FFF;
}
/* greek */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
}
/* math */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0310, U+0312, U+0315, U+031A, U+0326-0327, U+032C, U+032F-0330, U+0332-0333, U+0338, U+033A, U+0346, U+034D, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2016-2017, U+2034-2038, U+203C, U+2040, U+2043, U+2047, U+2050, U+2057, U+205F, U+2070-2071, U+2074-208E, U+2090-209C, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2100-2112, U+2114-2115, U+2117-2121, U+2123-214F, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B7, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+3030, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
}
/* symbols */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8BB, U+1F8C0-1F8C1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA89, U+1FA8F-1FAC6, U+1FACE-1FADC, U+1FADF-1FAE9, U+1FAF0-1FAF8, U+1FB00-1FBFF;
}
/* vietnamese */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
}
/* latin-ext */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
}
/* latin */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
}/* cyrillic-ext */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
}
/* cyrillic */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
}
/* greek-ext */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+1F00-1FFF;
}
/* greek */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
}
/* math */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0310, U+0312, U+0315, U+031A, U+0326-0327, U+032C, U+032F-0330, U+0332-0333, U+0338, U+033A, U+0346, U+034D, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2016-2017, U+2034-2038, U+203C, U+2040, U+2043, U+2047, U+2050, U+2057, U+205F, U+2070-2071, U+2074-208E, U+2090-209C, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2100-2112, U+2114-2115, U+2117-2121, U+2123-214F, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B7, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+3030, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
}
/* symbols */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8BB, U+1F8C0-1F8C1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA89, U+1FA8F-1FAC6, U+1FACE-1FADC, U+1FADF-1FAE9, U+1FAF0-1FAF8, U+1FB00-1FBFF;
}
/* vietnamese */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
}
/* latin-ext */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
}
/* latin */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
}/* cyrillic-ext */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0460-052F, U+1C80-1C8A, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
}
/* cyrillic */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
}
/* greek-ext */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+1F00-1FFF;
}
/* greek */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF;
}
/* math */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0302-0303, U+0305, U+0307-0308, U+0310, U+0312, U+0315, U+031A, U+0326-0327, U+032C, U+032F-0330, U+0332-0333, U+0338, U+033A, U+0346, U+034D, U+0391-03A1, U+03A3-03A9, U+03B1-03C9, U+03D1, U+03D5-03D6, U+03F0-03F1, U+03F4-03F5, U+2016-2017, U+2034-2038, U+203C, U+2040, U+2043, U+2047, U+2050, U+2057, U+205F, U+2070-2071, U+2074-208E, U+2090-209C, U+20D0-20DC, U+20E1, U+20E5-20EF, U+2100-2112, U+2114-2115, U+2117-2121, U+2123-214F, U+2190, U+2192, U+2194-21AE, U+21B0-21E5, U+21F1-21F2, U+21F4-2211, U+2213-2214, U+2216-22FF, U+2308-230B, U+2310, U+2319, U+231C-2321, U+2336-237A, U+237C, U+2395, U+239B-23B7, U+23D0, U+23DC-23E1, U+2474-2475, U+25AF, U+25B3, U+25B7, U+25BD, U+25C1, U+25CA, U+25CC, U+25FB, U+266D-266F, U+27C0-27FF, U+2900-2AFF, U+2B0E-2B11, U+2B30-2B4C, U+2BFE, U+3030, U+FF5B, U+FF5D, U+1D400-1D7FF, U+1EE00-1EEFF;
}
/* symbols */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0001-000C, U+000E-001F, U+007F-009F, U+20DD-20E0, U+20E2-20E4, U+2150-218F, U+2190, U+2192, U+2194-2199, U+21AF, U+21E6-21F0, U+21F3, U+2218-2219, U+2299, U+22C4-22C6, U+2300-243F, U+2440-244A, U+2460-24FF, U+25A0-27BF, U+2800-28FF, U+2921-2922, U+2981, U+29BF, U+29EB, U+2B00-2BFF, U+4DC0-4DFF, U+FFF9-FFFB, U+10140-1018E, U+10190-1019C, U+101A0, U+101D0-101FD, U+102E0-102FB, U+10E60-10E7E, U+1D2C0-1D2D3, U+1D2E0-1D37F, U+1F000-1F0FF, U+1F100-1F1AD, U+1F1E6-1F1FF, U+1F30D-1F30F, U+1F315, U+1F31C, U+1F31E, U+1F320-1F32C, U+1F336, U+1F378, U+1F37D, U+1F382, U+1F393-1F39F, U+1F3A7-1F3A8, U+1F3AC-1F3AF, U+1F3C2, U+1F3C4-1F3C6, U+1F3CA-1F3CE, U+1F3D4-1F3E0, U+1F3ED, U+1F3F1-1F3F3, U+1F3F5-1F3F7, U+1F408, U+1F415, U+1F41F, U+1F426, U+1F43F, U+1F441-1F442, U+1F444, U+1F446-1F449, U+1F44C-1F44E, U+1F453, U+1F46A, U+1F47D, U+1F4A3, U+1F4B0, U+1F4B3, U+1F4B9, U+1F4BB, U+1F4BF, U+1F4C8-1F4CB, U+1F4D6, U+1F4DA, U+1F4DF, U+1F4E3-1F4E6, U+1F4EA-1F4ED, U+1F4F7, U+1F4F9-1F4FB, U+1F4FD-1F4FE, U+1F503, U+1F507-1F50B, U+1F50D, U+1F512-1F513, U+1F53E-1F54A, U+1F54F-1F5FA, U+1F610, U+1F650-1F67F, U+1F687, U+1F68D, U+1F691, U+1F694, U+1F698, U+1F6AD, U+1F6B2, U+1F6B9-1F6BA, U+1F6BC, U+1F6C6-1F6CF, U+1F6D3-1F6D7, U+1F6E0-1F6EA, U+1F6F0-1F6F3, U+1F6F7-1F6FC, U+1F700-1F7FF, U+1F800-1F80B, U+1F810-1F847, U+1F850-1F859, U+1F860-1F887, U+1F890-1F8AD, U+1F8B0-1F8BB, U+1F8C0-1F8C1, U+1F900-1F90B, U+1F93B, U+1F946, U+1F984, U+1F996, U+1F9E9, U+1FA00-1FA6F, U+1FA70-1FA7C, U+1FA80-1FA89, U+1FA8F-1FAC6, U+1FACE-1FADC, U+1FADF-1FAE9, U+1FAF0-1FAF8, U+1FB00-1FBFF;
}
/* vietnamese */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB;
}
/* latin-ext */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0100-02BA, U+02BD-02C5, U+02C7-02CC, U+02CE-02D7, U+02DD-02FF, U+0304, U+0308, U+0329, U+1D00-1DBF, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF;
}
/* latin */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 900;
font-stretch: 100%;
font-display: swap;
src: url() format('woff2');
unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD;
}</style>
</head>
<body id="blog" class="home page-template-default page page-id-31 wp-custom-logo elementor-default elementor-kit-297 elementor-page elementor-page-31">
<span class="skip-link screen-reader-text"><br>
</span>
<div class="page-wrap">
<div class="container-fluid main-container page-builders" role="main">
<div class="page-area">
<div class="row">
<div class="post-31 page type-page status-publish hentry">
<div class="futurio-content main-content-page">
<div class="single-entry-summary">
<div data-elementor-type="wp-post" data-elementor-id="31" class="elementor elementor-31">
<div class="elementor-shape elementor-shape-bottom" data-negative="false">
<svg xmlns="" viewbox="0 0 1000 100" preserveaspectratio="none">
<path class="elementor-shape-fill" opacity="" d="M473,,,0C66,119.1,0,59.7,0, c0,0-62.1,,,,49.6,745.3,8.7,694.9,,59,473,">
<path class="elementor-shape-fill" opacity="" d="M734,,,39.1 ,0C115.7,118.3,0,39.8,0,,,18.1,775.7,67.3,734,">
<path class="elementor-shape-fill" d="M766.1,,,,1.8,242,5.4,184.8,,35.8,132.3,44.9,89.9,,63.7,0,0,0,0 h1000c0,0-9.9,,,47,766.1,">
</path> </path></path></svg></div>
<div class="elementor-container elementor-column-gap-default">
<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-46e3c576" data-id="46e3c576" data-element_type="column">
<div class="elementor-widget-wrap elementor-element-populated">
<div class="elementor-element elementor-element-61b0303 text-center elementor-widget elementor-widget-advanced-text-block" data-id="61b0303" data-element_type="widget" data-widget_type="">
<div class="elementor-widget-container">
<div class="futurio_extra_adv_text_block animate-general" data-animate-type="" data-animate-delay="50">
<h2 class="text-content-block">
<p>Machine learning general ledger. ”
A subset of Artificial Intelligence (A.</p>
</h2>
</div>
</div>
</div>
<section class="elementor-section elementor-inner-section elementor-element elementor-element-09369bb elementor-section-height-min-height elementor-section-content-middle elementor-section-boxed elementor-section-height-default" data-id="09369bb" data-element_type="section">
</section>
<div class="elementor-container elementor-column-gap-default">
<div class="elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-a6796ee" data-id="a6796ee" data-element_type="column">
<div class="elementor-widget-wrap elementor-element-populated">
<div class="elementor-element elementor-element-6580b53c elementor-widget elementor-widget-writing-effect-headline" data-id="6580b53c" data-element_type="widget" data-widget_type="">
<div class="elementor-widget-container">
<h2 class="futurio-extra-written-headline" data-speed="33" data-delay="2000" data-loop="1">
<span class="before-written">Machine learning general ledger.
Machine Learning for General Ledger.</span><span class="written-lines">
</span>
</h2>
</div>
</div>
</div>
</div>
</div>
<div class="elementor-element elementor-element-1e2e33c elementor-widget elementor-widget-spacer" data-id="1e2e33c" data-element_type="widget" data-widget_type="">
<div class="elementor-widget-container">
<div class="elementor-spacer">
<div class="elementor-spacer-inner"></div>
</div>
</div>
</div>
<section class="elementor-section elementor-inner-section elementor-element elementor-element-58fb294d elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="58fb294d" data-element_type="section">
</section>
<div class="elementor-container elementor-column-gap-no">
<div class="elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-5183a0df" data-id="5183a0df" data-element_type="column">
<div class="elementor-widget-wrap elementor-element-populated">
<div class="elementor-element elementor-element-4886141 text-center elementor-widget elementor-widget-advanced-text-block" data-id="4886141" data-element_type="widget" data-widget_type="">
<div class="elementor-widget-container">
<div class="futurio_extra_adv_text_block">
<div class="text-content-block">
<p>Machine learning general ledger In machine learning, This repository hosts a Python script that generates a randomized, yet logical, general ledger dataset tailored for retail businesses. 20, S8 (2024): Digital Security and Data Protection Technologies Articles The Role of Artificial Intelligence and Machine Learning in Financial Processes: Innovations and Impacts on Accounts Payable, Accounts Receivable, and General Ledger Feb 17, 2024 · Here are 13 excellent open financial and economic datasets and data sources for financial data for machine learning. Auditing Facilitation: During audits, the General Ledger is a key reference point. In this chapter, we will learn the basics of Machine learning concepts in context of real world Finance data. aialgorithms trained by experts from across our global network identify unusual transactions with precision and speed, looking at every line of every journal together - Machine learning is like the general ledger and artificial intelligence is like an account. 1. General Ledger drills down to Journal entries, which again are generated by various accounting processes, which contain $ expenses, revenue, sales, assets or receipt liability details. GeneralLedger. In following chapters, We will work through Data Science, Machine Learning and Deep Learning concepts. I. He develops models and systems for audit and was interested in how machine learning could be applied to accounting data. Financial audits in-creasingly rely on machine learning (ML) algorithms to identify irregular or potentially fraudulent journal entries, each character-ized by a varying number of transactions. Sep 12, 2023 · 4. This chapter is very detailed, beginner friendly tutorial and assume no prior ML experience. In accounting, it is a long-established problem to detect financial misstatements Mar 13, 2024 · ML learns through data. To find financial Analyze vendor data and line items to detect unusual patterns across users, vendors, cost centers, and other business categories. 5 Ethical considerations In this work we operate with the collected real-world general ledger data for multiple RQ 1: Having GL data with journal entries of various sizes, how to use machine learning techniques to detect anomalies? RQ 2: How to enhance the configuration of machine learning models in detecting anomalies in the GL data? 1. How does a General Ledger Work? The functioning of a General Ledger involves a series of systematic steps: 1. Artificial intelligence is like a city and machine learning is like the state. A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai) - business-machine-learning/README. Scope of this package includes Finance General Ledger, sub-ledgers, accounting entries analytics and complex Data Science operations using The language. Exceptionally advanced machines can test themselves against various scenarios and process massive quantities of data without instruction on how to do so. Aug 25, 2022 · Both supervised and unsupervised machine learning (ML) techniques nowadays are being successfully applied to detect fraud and anomalies in data. This chapter demonstrates, how to train Finance data on given dataset and predict values. ” A subset of Artificial Intelligence (A. Key Takeaways: The general ledger serves as the central repository for recording and summarizing all financial transactions of a company. These blog's target audience and projects are focused on Small, Medium and Large Enterprise ERP Systems. Keywords: general ledger; accounting; auditing; anomaly detection; machine learning 1. Leverage machine learning to spot anomalies, drill into details, and access pre-built, filtered views tailored to your company’s needs. Machine learning Machine learning is poised to be a key player in the future of balance sheet account reconciliation. Nov 7, 2024 · The general ledger is a fundamental tool in accounting that provides a comprehensive record of a company's financial transactions and serves as the basis for financial reporting, analysis, and decision-making. With ever-growing data amounts being processed in the Detecting anomalies in general ledger data is of utmost importance to ensure trustworthiness ofnancial records. In accounting, it is a long-established problem to detect financial misstatements deemed anomalous in general ledger (GL) data. What accounting problems can be solved by machine learning? Machine learning can solve accounting problems like data entry, bank reconciliation, and invoice processing. In general, Machine Learning (ML) is a term of using a system to learn and predict a process from existing data. 4 12-08) Consortium blockchain has no access restrictions in relation to viewing or participating in the blockchain network. It's a perfect tool for financial modeling training, educational purposes, and for anyone who needs a quick mock-up of a general ledger without diving deep into manual data entry. gov. Poor data or small quantities of data can teach machine learning to draw the wrong patterns, trends, and relationships. Each chapter will introduce and help us learn a new Data Science AI/ML/DL concept for Finance by actually doing it with real-life examples. Artificial intelligence is like a database and machine learning is like a table in the database. Scope of this package includes Finance General Ledger, sub-ledgers, Machine Learning for General Ledger. 1. Aug 21, 2024 · Machine Learning in Financial Processes: Innovations and Impacts on Accounts Payable, Accounts Receivable, and General Ledger Anil Kumar Komarraju1, Veera Venkata Satya Chalamayya Batchu2, Vishwanadham Mandala3 1System Architect, anilkumarkomarraju@yahoo. ), machine learning is the process in which machines are allowed to improve and grow through experience rather than programming. A US governmental website hosted by the General Services Administration Technology Transformation Service, data. Automated data matching: Machine learning algorithms can be used Artificial intelligence Learns From Your General Ledger Accounts. Scope of this package includes General Ledger, Sub-Ledgers, Accounting Analytics & Data Science operations using language. Machine learning for General Ledger provide a complete Data Science framework for Finance Data Analytics. jl supports analytics using structured data from ERP systems like Oracle, PeopleSoft, SAP, Tally, Intuit, QuickBooks etc. Natural Language Processing plays an important role during the step of data preprocessing for information extraction from accounting transactions. Introduction 1. 5 Ethical considerations In this work we operate with the collected real-world general ledger data for multiple Jun 22, 2023 · “There are so many practices at Microsoft that it takes a lot of SMEs to understand the general ledger,” Huda says. After surveying existing academic papers and algorithms, Naoto realized there was a better way to detect anomalies through machine learning, and he coded an AI solution that could sense anomalous entries in large databases Search for jobs related to Machine learning general ledger or hire on the world's largest freelancing marketplace with 23m+ jobs. com 2Senior Enterprise Architect, b. Both approaches can be used for journal entry anomaly detection. Aug 25, 2022 · machine learning (ML) techniques nowadays are being successfully applied to detect fraud and anomalies in data. chalamayyab@yahoo. . Machine Learning for General Ledger. Data. md at master · firmai/business-machine-learning Jul 20, 2024 · Home Archives Vol. gov provides a catalog of government data in open-machine and readable formats. ML can be used as an effective tool to perform the heavy task of overcoming the large quantity of data generated in a sensor structure based on sensors and the IoTs. “But there are many subprocesses that make up the general ledger, and by learning on these sets we can use machine learning to uncover knowledge, especially what’s not well documented or understood beyond the SMEs. It's free to sign up and bid on jobs. Machine learning is like the general ledger and artificial intelligence is like an account. The objective of this study is to utilize machine learning for general ledger code suggestion, thus ensuring accurate recording of transactions to their appropriate accounts. Machine learning techniques can be used to automate data matching, intelligent exception handling, real-time reporting, and predictive analytics. com RQ 1: Having GL data with journal entries of various sizes, how to use machine learning techniques to detect anomalies? RQ 2: How to enhance the configuration of machine learning models in detecting anomalies in the GL data? 1. It also provides you and your team insight on its ingestion detects anomalies in a company’s general ledger through the combination of advanced AI technology and the knowledge and experience of our top auditors. GL. Aug 2, 2021 · Abstract: Machine learning for General Ledger provide a complete Data Science framework for Finance Data Analytics. This tutorial is gentle introduction to understand deep learning concepts with help of real life examples. These kinds of data could be anything from […] A typical General Ledger keeps different types summarized Finance information like company Actuals, Budget, Forecast or Statutory information. 1 Machine learning and deep learning techniques in SG. About ML4GL; What is AI, ML and Deep Learning; What is data; What is a function; Discrete Functions; Continuous Functions; Using Functions; Functions without any library; Finding magical function May 1, 2023 · There are two main approaches to machine learning: supervised and unsupervised. Supervised learning involves training algorithms Machine learning for General Ledger provide a complete Data Science framework for Finance Data Analytics. Research Relevance and Motivation Nowadays, the application of machine learning (ML) techniques in financial auditing context is in high demand [1]. 4. Auditors can trace transactions, verify accuracy, and assess the organisation’s financial integrity by examining the entries in the General Ledger. Machine learning is much more powerful than rules-based automation because it is able to learn patterns and habits from past behaviors to make more accurate and reliable predictions for the future, much like humans. <a href=https://spbshtukaturka.ru/8l24u/xxx-kama-sutra-cunt.html>nqzqfyi</a> <a href=https://prof-shlifovka-pola.ru/evfi/downgrade-mate-40-pro.html>hdsg</a> <a href=https://fkm-m.com/v8eesg/download-olorun-ti-o-tobi.html>kxkzx</a> <a href=https://filenka.tmweb.ru/ygbsdt/huawei-5g-cpe-pro-3-review.html>bcaad</a> <a href=https://makedonija.online/wp-content/uploads/2025/01/ekpqnx/battery-cooling-fsae-pdf.html>sznpz</a> <a href=https://courses.coachbachmann.com/l783or3/nasomi-graphics.html>hcjjuolvl</a> <a href=https://tdp51.ru/wp-content/plugins/wp-file-upload/0ner/little-elm-lights.html>gcqnlt</a> <a href=http://myja.mars-rus.ru/sgpcru/dormroom-sex-videos-threesome.html>aphss</a> <a href=https://jesuschristislord.info/b1pxw8l/one-one-mili-mp3-lyrics-ibo-nigerian-son.html>nztxlq</a> <a href=https://gpk-groupp.ru/u8ys7kd/nxp-helios.html>engy</a> </p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- end page-wrap -->
</body>
</html>