Data Science from Scratch: Complete guide to master data process, mining, data-analytic, neural networks, machine learning in Python, Linear Alge (Paperback)

Data Science from Scratch: Complete guide to master data process, mining, data-analytic, neural networks, machine learning in Python, Linear Alge Cover Image
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Become the master of machine learning with this powerful guide.

Do you want to know more about neural networks? Have you heard of machine learning, but you're not sure where to begin?

Written with the beginner in mind, this detailed guide breaks down everything you need to know about deep and machine learning in a simple, easy-to-understand way. Machine learning is a fascinating and ever-growing field, and its development will shape our futures. Now, you can understand what makes this topic so powerful no matter your level of experience.

Using the popular and much-loved programming language Python, inside this comprehensive guide, you will:

  • Learn How to Get Started with Jupyter Notebooks
  • Understand Python Using Various Data Structures
  • Perform Object Oriented Programming Using Python
  • Use The Most Common Libraries Including Numpy, Matplotlib, and Pandas
  • Learn and Recap on The Basics of Linear Algebra and Statistics
  • Comprehend Machine Learning Algorithms Like Linear Regression, Logistic Regression, K-nearest neighbors and Decision Trees
  • Discover Deep Learning Concepts Like Convolutional Neural Networks and Recurrent Neural Networks
  • Implement CNNs and RNNs using Keras Deep Learning Framework
  • And More

With a wide variety of vital topics, this book is your all-in-one ticket to understanding machine learning. Plus, you'll also learn bonus content, such as Generative Adversarial Network (GAN) models and why they're so important. With simple explanations designed to get you comfortable with the maths and statistics behind machine learning, this book is perfect for both the novice and the pro

So what are you waiting for? Buy now to begin your machine learning journey today



Product Details
ISBN: 9781660153497
ISBN-10: 1660153492
Publisher: Independently Published
Publication Date: January 13th, 2020
Pages: 324
Language: English