Explore the world of machine learning with a deep dive into core principles including supervised and unsupervised methods, neural networks, decision trees, support vector machines, and clustering algorithms. Engaging real-world examples, case studies, and hands-on exercises illustrate tangible applications across various fields.
Explore the world of machine learning with a deep dive into core principles including supervised and unsupervised methods, neural networks, decision trees, support vector machines, and clustering algorithms. Engaging real-world examples, case studies, and hands-on exercises illustrate tangible applications across various fields.
Bechoo Lal, PhD. became a Member (M) of IAENG: International Association of Engineers, USA with membership (108820) in 2010, a Senior Member (SM) in 2019. A doctorate PhD in Computer Science, PhD- Information System from University of Mumbai, Master from Banaras Hindu University (BHU), PGP- Data Science from Purdue University, USA. Currently working as a Associate Professor in Department of Computer Science & Engineering, KLEF- KL University Vijayawada Campus Andhra Pradesh, India. His research areas are data science, big data analytics and Machine Learning.
Inhaltsangabe
1 Introduction to Machine Learning 2 Unsupervised Learning 3 Supervised Learning: Linear Regression 4 Decision Trees 5 Artificial Neural Networks 6 Reinforcement Learning 7 Applications of Machine Learning in Industrial Sectors 8 Issues of Machine Learning for Society
1 Introduction to Machine Learning 2 Unsupervised Learning 3 Supervised Learning: Linear Regression 4 Decision Trees 5 Artificial Neural Networks 6 Reinforcement Learning 7 Applications of Machine Learning in Industrial Sectors 8 Issues of Machine Learning for Society
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