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Machine Learning - Getting Started

Launch yourself into machine learning!
Ananda Soundhararajan
Type: Print Book
Genre: Information Technology
Language: English
Price: ₹299 + shipping
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Description

Do you want to change your career to something more exciting, challenging, and which offers continuous learning?

If yes, then machine learning is the skill you need to develop!

Maybe you have tried learning machine learning before but found it too difficult, or perhaps you are not sure if machine learning is the correct next step for you. Well, this book covers all the fundamentals of machine learning to give you an intuitive understanding of the subject, so by the end of this book, you will find that machine learning is easier than you thought, and you will know if you want to get into machine learning or not.

This book is for software engineers who want to get into machine learning field. Machine learning engineers get paid more compared to traditional software engineers, they also never have a slow day given the unseen challenges and problems to solve.

What’s so special about this book?

This book outlines the subject of machine learning in clear and simple English. There are easy-to-understand examples so that you can practice along at home.

Includes the next steps you should take to further your goal of becoming a machine learning engineer. Addresses the popular myths about the subject and pitfalls that you should avoid.

Simplifies the complex math and algorithm parts of machine learning and creates fascinating, fun, and intuitive ways to understand the theories required to become a machine learning engineer.

By the time you finish reading this book, you will be sure of which path to take and what subjects you should learn more about, and you will be brimming with excitement and interest in machine learning.

You will learn,

The foundations of machine learning
What the landscape of machine learning looks like
Simple explanations of statistics, probability, linear algebra, calculus, and gradient descent required for machine learning
How to explore the dataset and choose relevant features
How to build your own supervised models, unsupervised models, and neural networks
Fundamentals of natural language processing
How traditional software engineering differs from machine learning
Additional materials to develop hands-on experience
Next steps you can take to become a machine learning engineer

If you want to launch yourself into a machine learning career, this book is your first step!

You will just need to spend 30 minutes a day, it is that simple. You hit the ground running in about 10 weeks.

To learn more visit https://letsbecomemlengineers.com

Subscribe to LetsBecomeMLEngineers Youtube channel (https://www.youtube.com/channel/UCxxGU_Q6A-8aJlSGP19FYUA) to get latest updates!

About the Author

Ananda Soundhararajan believes in Continuous Learning and lives by the principle that every single day counts.

Engineering Leader who has been developing and delivering software for about two decades.

Expert in APIs and specialized in API Gateway technologies and a big advocate of Cloud and DevOps transformation. He has published a white paper on Non-relational database systems at Compuware Corporation in 2011.

Ananda holds a Bachelor of Engineering in Computer Science from SSN College of Engineering, Anna University, Chennai, India.

Active Marathon Runner and promotes physical and mental health as no.1 priority.

Toastmaster since 2018 and holds an officer role (VP of Public Relations) at Lake County Toastmasters.

Volunteer of Girl scouts of greater Chicago and northwest Indiana.

Ananda spends his time with family, gardening, and walking in nature trails.

To learn more, visit https://www.linkedin.com/in/ananda-soundhararajan

YouTube channel: https://www.youtube.com/channel/UCxxGU_Q6A-8aJlSGP19FYUA

Don't forget to visit www.lakecountytoastmasters.com if you have the appetite to work on your public speaking and leadership skills.

Book Details

ISBN: 9798840630822
Publisher: Author Self Publishing
Number of Pages: 192
Dimensions: 6"x9"
Interior Pages: B&W
Binding: Paperback (Perfect Binding)
Availability: In Stock (Print on Demand)

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