Machine Learning with Python

2 Manuscript in 1: Complete Guide to Learning Machine Learning & What You Need to Know About Data Science

By: David Park

Narrated by: Matthew Kinsey, Shane Makena

It is not necessary to work on the projects associated with your job profile; you can work overtime by working on some projects which are not related to your job profile but go perfectly with your skill sets. It would lead to having a good impression on your boss, which would further lead to promotions. It might lead to a change in your role in the organization. This would lead you to the road map of your career in this field.

Python is a high-level scripting language. It is easy to learn and more robust than other languages because of its dynamic nature and simple syntax, which allows small lines of code. Indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly.

In industries, machine learning using Python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations. Also, it can be operated on Linux, Windows, Mac OS, and UNIX.

What you will gain in this book:

• What is meant by machine learning?
• A short history of machine learning
• Machine learning - automation within a knowledge
• The challenges of machine learning
• Advantages and disadvantages of machine learning language
• Machine learning in robotics
• Machine learning applications
• Machine learning algorithms
• How machine learning is changing the world - and your everyday life

Machine learning is a new, trending field these days and is an application of artificial intelligence. The main aim of machine learning is to create intelligent machines that can think and work like human beings.

©2020 David Park (P)2020 David Park

It's all terribly practical and understandable.

This audio book walks thru a TON of ML algorithms and applications with example code but the code is so succinct that it's not really a programming audio book as much as a crash course in some ML math libraries available for Python, what the algorithms do and when to use them. It doesn't get into the math but it does give clear examples and explanations of when to use each algorithm and how. It's all terribly practical and understandable.

Best audio book

This is the best audio book you can buy if you want to implement machine learning to your project.

Highly recommended!

This audio book helped me immensely with understanding and using a lot of different kinds of machine learning models. Highly recommended!

Easy to follow

The examples in the audio book are really good and easy to follow. I have been using this as a reference for my project. It’s worth every penny!

Very practical

Wonderful audio book! Just what I expected. Very practical, hands-on like the title says. I have the first edition and I don’t regret one single bit buying the second. A must for any machine learning practitioner!