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Exploring Machine Learning Basics
Machine learning applications can be found in virtually every aspect of our day-to-day lives. Our product recommendations, social media feeds, email spam filters, traffic predictions, virtual personal assistants, and more, are all driven by machine learning. Companies are increasingly on the hunt for talented machine learning practitioners, so there’s no time like the present to gain those highly sought-after skills!
about the book
Exploring Machine Learning Basics has been created by machine learning expert Luis G. Serrano with hand-picked chapters taken from three Manning books. The first chapter lays a foundation by explaining what machine learning is, the different kinds of machine learning, and how a machine learns. With those basics under your belt, you’ll explore the most widely used types of machine learning and how to choose the most effective one for your task. You’ll also discover the many benefits of using machine learning in your business and how automating as many processes as possible can significantly boost productivity. Lastly, you’ll examine the important role humans play in successful machine learning models, such as selecting the right data to review and creating the training data that machines will ultimately learn from. This introductory sampler is an excellent first step on the path to a successful—and lucrative!—career in machine learning.
about the book
Exploring Machine Learning Basics has been created by machine learning expert Luis G. Serrano with hand-picked chapters taken from three Manning books. The first chapter lays a foundation by explaining what machine learning is, the different kinds of machine learning, and how a machine learns. With those basics under your belt, you’ll explore the most widely used types of machine learning and how to choose the most effective one for your task. You’ll also discover the many benefits of using machine learning in your business and how automating as many processes as possible can significantly boost productivity. Lastly, you’ll examine the important role humans play in successful machine learning models, such as selecting the right data to review and creating the training data that machines will ultimately learn from. This introductory sampler is an excellent first step on the path to a successful—and lucrative!—career in machine learning.
82 pages, ebook
Published July 1, 2020
1 person is currently reading
9 people want to read
About the author
Luis G. Serrano
3 books17 followersLuis G. Serrano is a research scientist in quantum and classical machine learning, living in Toronto, Canada. He has a PhD in mathematics from the University of Michigan, has taught at the University of Quebec and Quest University, and has worked in machine learning at Apple, Google, and Udacity. He maintains a popular educational youtube channel, www.youtube.com/c/LuisSerrano.
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August 29, 2023
Absolutely! This book is undoubtedly the most incredible resource for beginners delving into Machine Learning. It provides an exceptionally clear and jargon-free introduction. It's far superior to a hundred-page volume saturated with technical terms. I deducted one star due to the complexity of the last chapter.
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