Machine Learning: For Beginners
- Definitive Guide for Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple (Machine Learning, Book 1)
- Narrated by: Alex Benson
- Length: 1 hr and 8 mins
- Unabridged Audiobook
- Release date: 07-24-17
- Language: English
- Publisher: Matt Gates
Regular price: $6.95
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Everyone hates spam emails and if you have email accounts from different email providers, you can see which is doing a better job in filtering them out for you.
Machine learning has become an important backend pillar for technologies to innovate and improve while continuing to learn to bring us the best possible results that we desire based on our feedback. With time, the results get better and more accurate which bring us better values such as convenience and save us time.
In this book, you will have a peek into what machine learning is all about and the vast applications which underpin this revolutionary AI technology.
Here's what you will learn:
The ins and outs of machine learning algorithms
Some of the applications that have been developed as a result of machine learning
An important chapter that is fundamental to applying machine learning
The building blocks of machine learning
Explore the three different types of machine learning algorithms
And much more....
Machine Learning: For Beginners: Definitive Guide for Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple is your must-have guide to explore and learn about machine learning, neural networks, algorithms (Markov, Bayes, KNN, and many more), random forests, and decision trees.
PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.
Customer ReviewsMost Helpful
By Dorothy S. Hall on 07-18-18
easy-to-interpret audio guide
This is one easy-to-interpret audio guide. Even with all the technicalities, any reader without prior knowledge on ML can grasp the subject clearly. The author’s easy style made it possible to do so. Thumbs up for this!