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Machine Learning: 2 Books in 1: How Computers Have Learned To Know Us
◆◆ Do you want to understand machine learning and how is correlated to artificial intelligence and deep learning? Do you want to find out how ML and AI can be applied in practice and be compatible with human behavior in modern times? If yes, then keep reading… ◆◆
Machine Learning is based in mathematics, specifically statistics. It is a probabilistic discipline that began in the 1950s. Despite initial enthusiasm, research and development in Machine Learning languished for over 30 years, suffering from twin ills of a lack of data to work with and computers that were too slow to effectively work with what data they had.
It is no accident Machine Learning is coming into its own over the last 10 years. Until we began creating and storing massive amounts of data about our world, Machine Learning was mostly an idea in the minds of statisticians. And until computers reached a level of speed and power where these massive data sets could be ingested in a reasonable amount of time, the revolution couldn’t happen. But as we digitize information about our world and ourselves, and computers continue to increase in speed and capacity exponentially, the ability for Machine Learning to learn from our data grows in depth and accuracy. Looking to the future, we can see only more and more data collection about our world, faster computer chips and data transfer, and more avenues for Machine Learning to develop in, to grow and learn, and to serve humanity.
This bundle will cover various interesting topics about Ml and AI, from the more technical aspects to the ethical and moral ones.
Specifically you will
What is Machine Learning?
Machine Learning Categories
Sectors and Industries that use Machine Learning
Fundamental Algorithms
Regression Analysis
Benefits of Machine Learning
Deep Learning
Deep Neural Network
Big Data Analytics
Big Data Analysis Tools
How Companies Use Big Data
Data Mining and Applications
Sectors and Industries that use Machine Learning
Fundamental Algorithms
Regression Analysis
Benefits of Machine Learning
Deep Learning
Deep Neural Network
Big Data Analytics
Big Data Analysis Tools
How Companies Use Big Data
Data Mining and Applications
and also...
Correlation Between Machine Learning and Artificial Learning
The Era of Evolution
Machine Learning and Artificial Intelligence in Practice
Self-Driving Cars
Robots and How they will Change Our Lives
Machine Learning, Artificial Intelligence and IoT
Ethics of Artificial Intelligence
Artificial Intelligence and Privacy
Is Artificial Intelligence Dangerous
Machine Learning is based in mathematics, specifically statistics. It is a probabilistic discipline that began in the 1950s. Despite initial enthusiasm, research and development in Machine Learning languished for over 30 years, suffering from twin ills of a lack of data to work with and computers that were too slow to effectively work with what data they had.
It is no accident Machine Learning is coming into its own over the last 10 years. Until we began creating and storing massive amounts of data about our world, Machine Learning was mostly an idea in the minds of statisticians. And until computers reached a level of speed and power where these massive data sets could be ingested in a reasonable amount of time, the revolution couldn’t happen. But as we digitize information about our world and ourselves, and computers continue to increase in speed and capacity exponentially, the ability for Machine Learning to learn from our data grows in depth and accuracy. Looking to the future, we can see only more and more data collection about our world, faster computer chips and data transfer, and more avenues for Machine Learning to develop in, to grow and learn, and to serve humanity.
This bundle will cover various interesting topics about Ml and AI, from the more technical aspects to the ethical and moral ones.
Specifically you will
What is Machine Learning?
Machine Learning Categories
Sectors and Industries that use Machine Learning
Fundamental Algorithms
Regression Analysis
Benefits of Machine Learning
Deep Learning
Deep Neural Network
Big Data Analytics
Big Data Analysis Tools
How Companies Use Big Data
Data Mining and Applications
Sectors and Industries that use Machine Learning
Fundamental Algorithms
Regression Analysis
Benefits of Machine Learning
Deep Learning
Deep Neural Network
Big Data Analytics
Big Data Analysis Tools
How Companies Use Big Data
Data Mining and Applications
and also...
Correlation Between Machine Learning and Artificial Learning
The Era of Evolution
Machine Learning and Artificial Intelligence in Practice
Self-Driving Cars
Robots and How they will Change Our Lives
Machine Learning, Artificial Intelligence and IoT
Ethics of Artificial Intelligence
Artificial Intelligence and Privacy
Is Artificial Intelligence Dangerous
200 pages, Kindle Edition
Published March 31, 2021
1 person is currently reading
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Displaying 1 of 1 review
April 21, 2021
Great learning books
Most algorithms always behave the same: the same data produces the same result. A special category is the so-called learning algorithms. They adapt their functionality to the data they process. Therefore, this process is called machine learning. Learn how ML and AI work together.
Most algorithms always behave the same: the same data produces the same result. A special category is the so-called learning algorithms. They adapt their functionality to the data they process. Therefore, this process is called machine learning. Learn how ML and AI work together.
Displaying 1 of 1 review