◆◆ 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, ...
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◆◆ 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 find: 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 Will Humans and Artificial Intelligence Live Together in Future? and more.... ◆◆ What are you waiting for? Click buy now!!!!! ◆◆
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Add this copy of Machine Learning: 2 Books in 1: How Computers Have to cart. $25.07, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2021 by Independently Published.
