Machine Learning: Two-Book Bundle
Machine Learning: Master the Three Types of Machine Learning, Hacking: Computer Hacking Mastery
Failed to add items
Add to basket failed.
Add to wishlist failed.
Remove from wishlist failed.
Adding to library failed
Follow podcast failed
Unfollow podcast failed
£0.00 for first 30 days
Buy Now for £6.99
No valid payment method on file.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrated by:
-
Mike Davis
-
By:
-
Robert Keane
About this listen
This audiobook includes two manuscripts.
Machine Learning: Master the Three Types of Machine Learning
Machine learning is vital to the world of information technology. While many people may have no idea what machine learning is, they have probably used it sometime in their daily lives. For example, if you have ever done a search query on a search engine, you have worked with one form of machine learning. The program to do your search query has been trained to find the best results based on what you are looking for, and it will also learn from the choices that you make.
Unlike many conventional programs that are designed to follow the code and do nothing else, those that are designed for machine learning will be able to use artificial intelligence. Programmers enjoy this because the program can be adapted without the programmer always being present. With a conventional program, you have to guess ahead of time and code it exactly right, but with machine learning programs, you can set it up to learn as it goes.
Hacking: Computer Hacking Mastery
The world of hacking has changed so much in recent years. New attacks are being made, and learning how to protect your system can be difficult than ever before. This guidebook has all the information that you need to learn about some of the most common attacks that are going on in the world today as well as some of the things that you can do to protect yourself.
Inside this guidebook, you will learn everything that you need to start your journey with hacking.
©2017 Robert Keane (P)2017 Robert Keane