{"id":248332,"date":"2022-09-20T09:52:55","date_gmt":"2022-09-20T09:52:55","guid":{"rendered":"https:\/\/imarticus.org\/?p=248332"},"modified":"2024-03-29T10:35:32","modified_gmt":"2024-03-29T10:35:32","slug":"machine-learning-for-the-curious-placements-made-easy","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/machine-learning-for-the-curious-placements-made-easy\/","title":{"rendered":"Machine Learning For The Curious: Placements made easy"},"content":{"rendered":"

Machine Learning For The Curious: Placements made easy<\/span><\/h2>\n

You can use curiosity as a strong motivator to your advantage. We all share a fundamental human quality to varying degrees: a desire to learn more. In this course, we will explore machine learning, an exciting field that has been fundamental to the development of AI. We will introduce some key concepts such as neural networks, deep learning, and more to understand how these technologies work.<\/span><\/p>\n

Machine Learning for The Curious<\/b><\/h2>\n

The Machine Learning course<\/a><\/strong> will teach you how to build a machine learning system from scratch. In this course, you’ll learn the theory behind machine learning, how it works, and practical applications of the technology in real life. You’ll also get hands-on experience with several different ML algorithms: linear regression, Naive Bayes classification, and matrix factorization (also known as PCA).\u00a0<\/span><\/p>\n

Techniques from other disciplines cannot duplicate the capabilities and outcomes produced by machine learning methods, and if they could, they would refer as machine learning. Machine learning techniques differ from other techniques in two ways:<\/span><\/p>\n