Machine Learning with Python: 3 in 1: Beginners Guide + Step by Step Methods + Advanced Methods and Strategies to Learn Machine Learning with Python
Language: English
Published by Independently published, 2020
- Softcover
- Used
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- Title
- Machine Learning with Python: 3 in 1: Beginners Guide + Step by Step Methods + Advanced Methods and Strategies to Learn Machine Learning with Python
- Author
- Cane, Alexander
- Publisher
- Independently published
- Publication year
- 2020
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798627142432
Are you looking for a guide that will teach you all you need to know about Machine Learning? Are you looking for a way to learn how to write algorithms from scratch? This 3 book bundle will help you to master Machine Learning with Python.
Before you get into the world of machine learning, you have to start at the very basics if you are just getting started with programming. Python is one of the best platforms to start with as it serves as a core of modern computing techniques such as deep learning, machine learning and neural networks. In this book, you will learn exactly what advantages Python has over other languages. You will also learn how to set up Python in your system and code and run basic programs all with the aid of sample codes provided throughout the book. From syntax to functions to data types to conditional statements,Machine Learning with Python Comprehensive Beginners Guide is well-rounded to assist you in your coding journey.
Artificial intelligence is a common part of our lives, and we use it daily. Machine learning is one application of artificial intelligence and is where software, computers and devices use cognition to learn. If you use Siri on an iPhone, Cortana on your Windows PC, or Alexa, you are already making use of machine learning, especially when they provide you with traffic news, weather predictions, search results, and more. With the 2nd book, you will learn the machine learning basics, using real code and open-source data sets.
You will learn:I even provide you with a multiple choice quiz, complete with answers, to help you test your knowledge.
The 3rd book focuses on advanced sub-domains of machine learning, such as Class Imbalance strategies, Hidden Markov Models, HMM, Reinforcement Learning, RNN, and LSTM, along with a few more advanced level topics. With its high power and ease of use, we will use the Scikit Machine Learning Library in Python. This book is designed to introduce you to the most important and powerful methods of machine learning used by leading computer experts. It contains clear examples and detailed code samples to demonstrate deep learning, semi-directed learning, and other techniques. The methods discussed in this book will help you get started in this profitable and growing industry.
Grab this 3 book bundle today and start learning how to code your very own machine learning algorithms!
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GreatBookPricesUK
Woodford Green, United Kingdom
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