Machine Learning
The Ultimate Guide to Machine Learning, Neural Networks and Deep 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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Sam Slydell
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著者:
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Herbert Jones
このコンテンツについて
Three comprehensive manuscripts in one audiobook.
- Machine Learning: An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More
- Neural Networks: An Essential Beginners Guide to Artificial Neural Networks and Their Role in Machine Learning and Artificial Intelligence
- Deep Learning: An Essential Guide to Deep Learning for Beginners Who Want to Understand How Deep Neural Networks Work and Relate to Machine Learning and Artificial Intelligence
Here are some of the topics that are discussed in part one of this audiobook:
- What is machine learning?
- What’s the point of machine learning?
- 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
- Big Data
- Shadow profiles
- Biometrics
- Self-replicating machines
- And much, much more!
Here are some of the topics that are discussed in part two of this audiobook:
- Programming a smart(er) computer
- Composition
- Self-driving neural networks
- Taking everyone’s job
- Quantum leap in computing
- Attacks on neural networks
- Neural network war
- Ghost in the machine
- No backlash
- And much, much more
Here are some of the topics that are discussed in part three of this audiobook:
- Improving the scientific method
- How it all started
- Appeasing the rebellious spirits
- Evolving the machine brain
- The future of deep learning
- Medicine with the help of a digital genie
- And much, much more
So listen to this audiobook now if you want to learn more about machine learning!
©2018 Herbert Jones (P)2018 Herbert Jones