Machine Learning
An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More
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ナレーター:
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Timothy Burke
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著者:
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Herbert Jones
このコンテンツについて
If you're at the beginner's stage and are looking to gain new knowledge about machine learning, then keep reading....
Do not listen to this audiobook if you're looking for a boring textbook containing a lot of dry math and programming lingo.
Every day, someone is giving up on learning about machine learning. Many people miss out on furthering their career, and perhaps even the progress of our species without even realizing
You see, most beginners make the same mistakes when first delving into the topic of machine learning. They start off with a resource containing too many unrelatable facts, math, and programming lingo that will put them to sleep rather than ignite their passion.
But that is all about to change.
This new book on machine learning will explain the concepts, methods, and history behind machine learning, including how our computers became vastly more powerful but infinitely less intelligent than ever before and why every tech company and their grandmother want to keep track of us 24/7, siphoning data points from our electronic devices to be crunched by their programs that then try to become virtual crystal balls, predicting our thoughts before we even have them.
Most of the book seems like science-fiction because, in a sense, it is, far beyond what an average person would be willing to believe is happening.
Here are some of the topics that are discussed in this book:
- What machine learning is
- What the point of machine learning is
- History of machine learning
- Neural networks
- Matching the human brain
- Artificial Intelligence
- AI in literature
- Talking, walking robots
- Self-driving cars
- Personal voice-activated assistants
- Data mining
- Social networks
- And much more!
Listen now to learn more!
©2018 Herbert Jones (P)2018 Herbert Jones