Machine Learning: 3 Books in 1: Python Programming, Data Science, Computer Networking for Beginners. Master the Mathematics of Machine Learning & Applied Artificial Intelligence Front Cover

Machine Learning: 3 Books in 1: Python Programming, Data Science, Computer Networking for Beginners. Master the Mathematics of Machine Learning & Applied Artificial Intelligence

  • Length: 365 pages
  • Edition: 1
  • Publication Date: 2020-03-08
  • ISBN-10: B085PSKBRH
  • Sales Rank: #381271 (See Top 100 Books)
Description

Are you searching for the fastest way to discover the secrets of the fascinating world of Computer Science?

For a very limited time, you have the opportunity to get three best-selling guides in a single phenomenal mega bundle: if you are a student or a professional looking for more technical skills, then this is definitely the book for you.

In this complete crash course Jason Callaway has condensed all the knowledge you need in a clear and beginner-friendly way, with practical examplesdetailed explanationstips and tricks from his experience.

His revolutionary approach will speed up your learning, allowing you to master the Python language and its powerful applications for Machine Learning in an extremely short time, even if you are a complete beginner.

Here is just a tiny fraction of what you will learn:

  • The basics of Python programming: variables, data types, basic and advanced operations
  • Essential Python libraries such as NumPy, Pandas, Matplotlib
  • The most up-to-date computational methods and visualization techniques for data science
  • Real-world applications of machine learning and artificial intelligence
  • How to build statistical and machine learning models
  • Neural networks and predictive modeling
  • The OSI reference model
  • Computer Network Communication systems and their applications
  • Wireless technologies and their vulnerabilities

If you are ready to develop a successful career in the growing industry of computer science, then click the BUY button and get your copy!

To access the link, solve the captcha.