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Become a machine learning expert. Step up your career.
Today's top companies are undergoing the most significant transformation since industrialization. Artificial Intelligence is disrupting industries and changing how we work, think, and interact. The McKinsey Global Institute estimates that AI could automate up to 29.5% of work activities in the US by 2030, impacting many job sectors. PricewaterhouseCoopers predicts that AI will add $16 trillion to the global economy by 2030. Machine Learning is the driving force behind AI. Experts in this domain are rare, and employers are competing fiercely for ML-skilled talent. With this book, you will learn how Machine Learning works. A hundred pages from now, you will be ready to build complex AI systems, ace an interview, or start your own business.
All you need to know about Machine Learning in a hundred pages
Supervised and unsupervised learning. Support vector machines. Neural networks. Ensemble methods. Gradient descent. Cluster analysis and dimensionality reduction. Autoencoders and transfer learning. Feature engineering and hyperparameter tuning. Math, intuition, illustrations—all in just a hundred pages!
Read by Professionals Working At:
Is this book for you?
You will enjoy the book if you are:
- a software engineer or scientist aiming to transition into a machine learning engineer or data scientist
- a data scientist striving to stay at the cutting edge and deepen your ML expertise
- a manager seeking confidence when discussing AI with engineers and product teams
- a curious person eager to understand how machine learning works and perhaps build something new
What Industry Leaders Say
Testimonials
What industry leaders say
Deepak Agarwal
VP of Artificial Intelligence at LinkedIn
"A wonderful book for engineers who want to incorporate ML in their day-to-day work without spending an enormous amount of time."
Karolis Urbonas
Head of Data Science at Amazon
"A great introduction to machine learning from a world-class practitioner and LinkedIn superstar Andriy Burkov."
Chao Han
VP, Head of R&D at Lucidworks
"I wish such a book existed when I was a statistics graduate student trying to learn about machine learning."
Sujeet Varakhedi
Head of Engineering at eBay
"Andriy's book does a fantastic job of cutting the noise and hitting the tracks and full speed from the first page."
What the internet says
"I cannot recommend this enough, especially when you can try the book for free."
Michael Lumpkins on goodreads"Best 100-page book ever!"
Karthik Beepi on goodreads"hands down the book you need to grok and master machine learning concepts"
Leonard B. on Amazon"Andriy Burkov has written a masterpiece."
Marco on goodreads"a concise yet very useful resource"
Shubham Dubey on goodreads"very precise and well written"
Charlie on goodreads"If you only get one book on machine learning this year, here is the one you need to read."
Roger on LinkedIn"Covers a lot of depth but still very concise and readable."
Ajit Jaokar on goodreads"this book kicks you in the right direction"
Kelvin Sundli on goodreads"Great Book!"
d.elle on Amazon"It's an excellent book for both starters and professionals. Highly recommended."
Kanwar on LinkedIn"Straight to the point, backed by equations. Loving it and I would recommend it to other ML enthusiasts."
Mukul on Twitter
Book's features
- concise and to the point — the book can be read in a week, during which you'll gain a solid understanding of nearly everything modern machine learning offers. The author and other practitioners spent years mastering these concepts.
- companion wiki — access a continuously updated wiki that enhances book chapters with Q&A, code snippets, further reading, tools, and other useful resources.
- flexible price and formats — choose from Kindle, hardcover, paperback, EPUB, or PDF formats, with pricing options that fit your needs. For EPUB or PDF, you you set the price!
- read first, buy later — download chapters for free, read them and share with friends and colleagues. Only if you liked the book or found it useful for your work, study, or business, then buy it.
About the author
Andriy Burkov
Hey! My name is Andriy. I'm a dad of two and a machine learning expert based in Quebec City, Canada. Fourteen years ago, I earned a Ph.D. in Artificial Intelligence, and for the past ten years, I've been leading a team of machine learning developers at Gartner and TalentNeuron.My specialty is natural language processing. My team works on building state-of-the-art multilingual text extraction and normalization systems, as well as production chatbots, using machine learning and language models.
Reach me on LinkedIn, Twitter or email.
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When you buy a hard copy in English or French, you can request a free PDF copy.
FAQ
How much time will it take me to read this book?
The book has 140 pages. With enough dedication it could be read in a single sitting or during a weekend. On average, people spend a week of after-work reading.
Do you have a money back guarantee policy?
Within 45 days of purchase you can get a 100% refund on any e-book purchase on Leanpub.
Do you have a discount for students?
If you are a student, I recommend you to buy an e-book on Leanpub for the minimum price, which is $20. If you feel like it's still too expensive for you, send me an email and we will figure something out.
Do you have a bulk pricing?
Yes. If you need more than three copies of the book for your R&D team, students or event attendees send me an email and I will offer you a bulk price.
I don't need a copy of the book but would like to thank the author. Can I donate?
There are no donations, but you can buy a soft copy on Leanpub for any price above $20 and then give that soft copy to a friend.
I read this book. Do you have more?
Yes! Check out my new book Machine Learning Engineering released in 2020. I'm currently working on a sequel to this book, The Hundred-Page Language Models Book. The book will be released in January 2025.
I have a question. How can I contact you?
Send an email to author@themlbook.com and also check this my AMA on Reddit.