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Machine Learning and Artificial Intelligence 2 manuscripts in 1: The Essential Guide to Understand Artificial Intelligence, Machine Learning, Mimic Human Behavior, NLP Algorithms and Deep Learning
Artificial Intelligence and machine learning are one area of life that will continue to interest and surprise us with new topics, products, innovations, and new ideas. What was considered at a certain time as dumb machines have become smarter to the point where people can communicate with them on a human level.
So, what will you learn from reading this book? The key topics that we are going to cover in the following chapters are:
What machine learning and artificial intelligence are.
The relationship between artificial intelligence, machine learning and “Big Data.”
How to use artificial intelligence to improve business processes and the bottom line.
Types of machine learning
The concept of neural networks
Machine learning models
Machine learning and robotics
Algorithms
Using the probability and statistics to help with machine learning
The building blocks needed for machine learning
Machine learning and the internet of things
Business processes with artificial intelligence
Robots and Artificial intelligence
The world of computing and artificial intelligence
Self-driving cars
Artificial intelligence and the job market
Reasons why industry experts are warning us about Artificial intelligence
Artificial intelligence in trading and financial investing
Reinforcement learning
Our daily lives with Artificial intelligence
Artificial intelligence and decision making machine
Artificial intelligence and creativity
How advanced forms of machine learning are applied to drive artificial intelligence applications such as object recognition and language translation.
The current limitations of machine learning and artificial intelligence.
This is not the end of AI, there is still more to learn from AI. Who knows what AI can perform to us in the future — maybe it will be a society of robots.
So, what will you learn from reading this book? The key topics that we are going to cover in the following chapters are:
What machine learning and artificial intelligence are.
The relationship between artificial intelligence, machine learning and “Big Data.”
How to use artificial intelligence to improve business processes and the bottom line.
Types of machine learning
The concept of neural networks
Machine learning models
Machine learning and robotics
Algorithms
Using the probability and statistics to help with machine learning
The building blocks needed for machine learning
Machine learning and the internet of things
Business processes with artificial intelligence
Robots and Artificial intelligence
The world of computing and artificial intelligence
Self-driving cars
Artificial intelligence and the job market
Reasons why industry experts are warning us about Artificial intelligence
Artificial intelligence in trading and financial investing
Reinforcement learning
Our daily lives with Artificial intelligence
Artificial intelligence and decision making machine
Artificial intelligence and creativity
How advanced forms of machine learning are applied to drive artificial intelligence applications such as object recognition and language translation.
The current limitations of machine learning and artificial intelligence.
This is not the end of AI, there is still more to learn from AI. Who knows what AI can perform to us in the future — maybe it will be a society of robots.
123 pages, Kindle Edition
Published March 27, 2019
3 people are currently reading
5 people want to read
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Displaying 1 of 1 review
June 20, 2019
Covers a lot of topics that are in other business related books about artificial intelligence. If you have read a few books Stone business and ai I would skip this one.
It does cover a lot of good general basics
It does cover a lot of good general basics
Displaying 1 of 1 review