8 Machine Learning Books for Beginners in 2023:

1- Machine Learning for Absolute Beginners

• Ideal for absolute beginners
• Step-by-step, plain language and with visual
• No prior coding, math, statistics knowledge needed

2- The Hundred-Page Machine Learning Book

• Ideal for a ML overview
• Offers a solid Introduction to machine learning in around a hundred pages
• Easy to understand and great for interview prep
• Blends theory and practice, covering key approaches like regression with Python illustrations.
• Not for total beginners, but valuable for data pros looking to expand their ML knowledge

3- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

• Ideal for Python programmers
• Hands-On ML exercise in each chapter
• Great resource for developing project-based skills to help you land a job

4- Deep Learning

• Best book on deep learning
• Beginner Friendly
• Covers key concepts including linear algebra, probability and information theory
• Supplemented by lectures with slides on their website and exercises on Github

5- An Introduction to Statistical Learning

• Ideal for a statistics approach
• Prior statistical knowledge is recommended
• Covers complex data sets and key concepts such as linear regression, tree-based models, and resample methods
• Includes plenty of tutorials (using Python, see this book for R )

6- Programming Collective Intelligence

• Best guide for practical ML application
• Teaches how to create algorithms that detect patterns in data such as product recommendation & matching recommendation on dating websites

7- Fundamentals of Machine Learning for Predictive Data Analytics

• Ideal for an analytics approach
• Provides practical applications and case studies alongside the theory
• Provides a Comprehensive collection of algorithms and models

8- Machine Learning for Humans

• Free resource for beginners
• provides clear explanations, code, math, and real-world examples in 5 chapters
• Covers supervised and unsupervised learning, neural networks and deep learning, and reinforcement learning

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