Introductory Tutorials for Machine Learning (eBook)
Introductory Tutorials for Machine Learning (eBook)
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Introductory Tutorials for Machine Learning (eBook)

If you are just getting started in machine learning or looking to brush up your skills, this book is for you. This is an impressive catalogue of intro-level tutorials for AI, data science and machine learning.

You’ve heard it before, assuredly – we’re entering (if we haven’t already fully entered) the era of big data, data science, AI, and machine learning. Seemingly every day, new state-of-the-art research, frameworks, and use cases are popping up from all corners of the globe. From the fundamentals of reinforcement learning to machine learning that automates machine learning, there’s a whole lot to keep track of. And if you’re just getting started with AI and machine learning, it can be difficult to know where to start. With the math? Mastering the right programming languages? Understanding the logic and philosophy behind this technological revolution?

This book is a wonderful foundation for anyone interested in charting their course in this new frontier.

KES1,000.00

Introductory tutorials provide a great place for a person to kick start their machine learning journey. The tutorials in this book are for someone who is just starting machine learning career or wants to brush up their skills. A breadth of practical examples serve as a resource to people across domains and machine learning enthusiasts at any level. Written in simple English, technical concepts are explained in intuitive and easy-to-follow language.

Country

Kenya

Number Of Pages

276

Language

English

Year Published

07/02/2019

Author

Derrick Mwiti

Publisher

Self published

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Editorial Review

Machine learning is changing the way we engineer software. Tasks like parsing and summarizing text used to be done with thousands of lines of procedural code. Now they are done with neural networks containing millions of trained parameters. Whether you're a beginner or expert, some understanding of machine learning is now vital to being a software engineer. Introductory tutorials provide a great place for a person to kick start their machine learning journey. I recommend the tutorials in this book for somebody who is just starting machine learning career or wants to brush up their skills. A breadth of practical examples serve as a resource to people across domains and machine learning enthusiasts at any level. Written in simple English, technical concepts are explained in intuitive, easy-to-follow language. ~ Jameson Toole Cofounder and CEO at Fritz, Boston, MA, USA

You’ve heard it before, assuredly - we’re entering (if we haven’t already fully entered) the era of big data, AI, and machine learning. Seemingly every day, new state-of-the-art research, frameworks, and use cases are popping up from all corners of the globe. From the fundamentals of reinforcement learning to machine learning that automates machine learning, there’s a whole lot to keep track of. And if you’re just getting started with AI and machine learning, it can be difficult to know where to start. With the math? Mastering the right programming languages? Understanding the logic and philosophy behind this technological revolution? Though the answer to that fundamental question of where to start might differ for each individual embarking on their journey, one thing is clear - they’re going to need some rock solid, fundamentally sound resources that help guide them along the way. And with his impressive catalogue of intro-level tutorials for AI, data science, and machine learning, Derrick Mwiti has delivered a wonderful foundation for anyone interested in charting their course in this new frontier. ~ Austin Kodra Community Manager - Fritz Labs, Boston, MA, USA