<!DOCTYPE html><html xmlns='http://www.w3.org/1999/xhtml' xmlns:b='http://www.google.com/2005/gml/b' xmlns:data='http://www.google.com/2005/gml/data' xmlns:expr='http://www.google.com/2005/gml/expr'><head><meta content='width=device-width, initial-scale=1' name='viewport'/><title>techradar-cj960</title><style id='page-skin-1' type='text/css'><!--/*--></style><style>body{max-width:700px;margin:auto;background-color:rgba(52,53,65,1);color:rgba(236,236,241,1);font-family:system-ui;text-align:center;}main{margin:20px;margin-top:10rem;padding:20px;background-color:rgba(236,236,241,1);box-shadow:0 1rem 3rem rgba(236,236,241,.2)!important;color:rgba(52,53,65,1);border-radius:1rem;}a{color:rgba(52,53,65,1);text-decoration:none;font-weight:bolder;}p{word-break:break-all;word-wrap:break-word;text-align:justify;} .dev{ margin-top:10px; color: white; background-color: #0b7bca; padding: 10px 15px; border-radius: 5px; margin-right: 10px; } .btn{ color: white; background-color: #17b04c; padding: 10px 15px; border-radius: 5px; margin-right: 10px; }</style><meta name='google-adsense-platform-account' content='ca-host-pub-1556223355139109'/><meta name='google-adsense-platform-domain' content='blogspot.com'/> </head><body><main><header><h1>Insightful Corner</h1></header><script>/*<![CDATA[*/ cookieChoices={}; /*]]>*/</script><script>/*<![CDATA[*/ AHCustomBlogId={8433738110128319393}; /*]]>*/</script><article><p>Machine learning (ML) is a subset of AI that focuses on creating algorithms that can learn from data and improve over time, without being explicitly programmed. ML is used in many applications, such as recommendation systems, image recognition, and predictive maintenance. Popular ML platforms include Scikit-learn, Keras, and Apache Spark. <a href='https://techforest.gr/pricing'>See what we offer</a> Big data refers to the large and complex data sets that are too difficult to process using traditional data processing techniques. Big data is characterized by the 3 Vs: volume, variety, and velocity. Big data is used in many applications, such as marketing analytics, fraud detection, and recommendation systems. Popular big data frameworks include Hadoop, Spark, and Kafka.</p></article><div style='margin: 50px 0px'><a class='btn' href='#'>Home</a><a class='btn' href='#'>About</a><a class='btn' href='#'>Contact</a><span class='dev'> fb.com/humayon29 </span></div></main><div class='navbar no-items section' id='navbar'></div> </body></html>
