Machine Learning: A Probabilistic Perspective – Kevin P. Murphy

Introduction Machine learning has become an increasingly popular field in recent years, and for good reason. It allows for computers to learn and improve from data without being explicitly programmed, making it a valuable tool in a variety of industries. However, many people are still unfamiliar with the underlying principles and theories behind machine learning.
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An Introduction to Statistical Learning – Gareth James Daniela Witten Trevor Hastie and Robert Tibshirani

An Introduction to Statistical Learning – Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani – is a highly acclaimed textbook that serves as an excellent introduction to the field of statistical learning. Published in 2013, the book has become a widely-used resource for students, teachers, and practitioners alike. The four authors, who are all
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Programming Challenges: The Programming Contest Training Manual – Steven S. Skiena and Miguel A. Revilla

IntroductionProgramming challenges have become increasingly popular in recent years, with many programmers seeking to improve their skills and showcase their abilities through participating in programming contests. The Programming Contest Training Manual, written by Steven S. Skiena and Miguel A. Revilla, is a valuable resource for aspiring programmers looking to excel in these contests. About the
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Artificial Intelligence and Machine Learning for Business – Steven Finlay

Introduction Artificial intelligence (AI) and machine learning (ML) have become buzzwords in the world of business. Companies are increasingly implementing these technologies to improve efficiency, make data-driven decisions, and gain a competitive edge. In this blog post, we will dive into the topic of AI and ML for business, discussing their definitions, benefits, and applications.
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