I want an excellent book to learn and apply machine learning concepts in real-time projects.
The following book is highly recommended:
"Machine Learning: The Absolute Beginner’s Guide to Learn and Understand Machine Learning From Beginners, Intermediate, Advanced, To Expert Concepts"
by Andrew Park, 2020.
I would recommend the following book " Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to
Build Intelligent Systems" which covers conceptual and practical aspects of machine learning.
Link: https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/
For applying ML models first you must decide which programming language to use. There are many option each with its pros and cons. I recommend python. If you dont want to use a programming language i reccomend the WEKA software or the Matlab Classification App. Depending on the programming language/software you can find numerous tutorials with a simple google search. A great book you should definetely check to learn about ML methods is the "The Elements of Statistical Learning".
If you are comfortable with R programming language then you may look on "Introduction to Machine Learning with R" by Scott V. Burger.
The following book is highly recommended:
"Machine Learning: The Absolute Beginner’s Guide to Learn and Understand Machine Learning From Beginners, Intermediate, Advanced, To Expert Concepts"
by Andrew Park, 2020.
Python Machine Learning By Example - Third Edition
By Yuxi (Hayden) Liu
October 2020
I think the following book is also useful, in addition to the previously proposed books:
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
Phil Kim
Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage.
"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurélien Géron is good source.
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