Free Ebook TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem, by Ankit Jain Amita Kapoor
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TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem, by Ankit Jain Amita Kapoor
Free Ebook TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem, by Ankit Jain Amita Kapoor
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About the Author
Ankit is a Senior Data Scientist at Uber AI Labs where his primary focus on using cutting-edge AI/ML methods to solve problems in forecasting and self-driving cars. He has also worked in a variety of data science roles at Runnr, Facebook, and BofA. While at Facebook, he contributed to popular products like "Pages You May Like" and FB Games. Ankit has a keen interest in teaching data science and has mentored over 500 students in data science. He holds a Masters from UC Berkeley and Bachelors from IIT Bombay.
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Product details
Paperback: 322 pages
Publisher: Packt Publishing (November 30, 2018)
Language: English
ISBN-10: 1789132215
ISBN-13: 978-1789132212
Product Dimensions:
7.5 x 0.7 x 9.2 inches
Shipping Weight: 1.5 pounds (View shipping rates and policies)
Average Customer Review:
3.7 out of 5 stars
7 customer reviews
Amazon Best Sellers Rank:
#54,796 in Books (See Top 100 in Books)
There are lots of talk about Tensorflow and I was looking for a book which can explain the concepts and framework in a simplified way. As an AI/ML learner, I found this book is very helpful and able to adapt the Tensorflow for my current project in a faster way. This is an excellent book for the one who wants to learn Tensorflow even without any background.
The source code is available on github and on the Packt website but both only have the directory for the datasets and not the actual data which means none of the examples run. I contacted the publisher but they just send links to the zip file that I already have.
Loved the projects oriented approach of this book. Google tutorials only teach about Tensorflow functions but this book really helped me to build practical projects using Tensorflow without steep learning curve. Most of the chapters follow step by step approach on building the project.Another thing I liked is that this book doesn't get into all the mathematical details which is great if your motive is to quickly get going with using Tensorflow in applied settings.
I like the book’s approach of “learning by codingâ€. I understand concepts better, when I implement them in code. This book is perfect for me, as It allows me to implement the logic in code based off of the github repository, while reading the book.Another thing that stood out to me was that this book discusses Industry relevant problems such as recommender systems, traffic sign classifier which is actively being researched in many companies. So, I can easily take these learnings and use them on my job. Through these examples, introduces tools that will help deploy these model in production.
The book is true to its title and has a strong hands-on approach to deep learning with Tensorflow.It seems like a great starting point for someone who has heard of Deep Learning or taken a few online courses and would like to get into solving a variety of real-world problems. The book walks through actual code examples and explains many practical aspects of programming.
Concepts are explained in a very clear and intuitive manner. Book is easy to follow and very hands on. I highly recommend this book to anyone looking to use TensorFlow for ML applications.
I purchased this book for some example of ML projects. I know tensorflow already. I expected to see at least decent solutions. Unfortunately I stopped reading after seeing second chapter where the authors created model that always predicts 0 and has precision recall 0. They are satisfied because that reached >99% of accuracy but they forget that the given dataset has huge class imbalance!
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TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem, by Ankit Jain Amita Kapoor PDF
TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem, by Ankit Jain Amita Kapoor PDF
TensorFlow Machine Learning Projects: Build 13 real-world projects with advanced numerical computations using the Python ecosystem, by Ankit Jain Amita Kapoor PDF
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