Аннотация
Machine learning is a fairly new domain, however it quickly became the latest trend on which every IT specialist is trying to jump, and rightly so. This technical field can be used to solve a wide variety of today’s problems. The purpose of Python Machine Learning is to guide you step by step through all the basic concepts of machine learning.
Throughout the course of this book you will learn about all the specialised tools you will need on your journey. In addition, you will learn a variety of machine learning algorithms and techniques by combining theory with practice. You will be applying everything you learn on real datasets and learn the practical use of every concept you study.
Keep in mind that in order to benefit the most from using this ultimate guide for beginners, you will have to go through every practical application and dissect it until you understand it. In addition, you will have to start practicing on your own in order to build a proper foundation. You don’t have to be a computer science major to understand machine learning, however you do need a great deal of determination and most importantly, practice!
![Machine Learning with Python Cookbook [Practical Solutions from Preprocessing to Deep Learning]](https://www.rulit.me/data/programs/images/machine-learning-with-python-cookbook-practical-solutions-fr_554389.jpg "This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading...")
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