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Buy AI Crash Course: A fun and hands-on introduction to machine learning, reinforcement deep artificial intelligence with Python by de Ponteves, Hadelin online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase. Review: Learn from the best.... - I started my transition into AI around 3 years ago and have stuck with Hadelin all the way. Re-skilling is not easy and there is plenty sub-par content out there but Hadelin always manages to strike the perfect balance between theory and code every time and keeps the reader engaged and interested all the way. The book is great and I appreciate the concise summaries at the end of each chapter too which convey complex material into a few lines which is easy to remember and refer back to should you need a refresh. I am now well skilled in machine learning thanks to Hadelin and will always have his material (be it the book or online courses) on hand for referral in my new career as an AI project manager Review: I am surprised how this got published. On page 42 he is mentioning a formula for a distribution, before on page 48 (!) he tries to tell you what a distribution IS. He uses the word "magic", pretty much the last word I want to see in an AI book. He refers to COLORS in diagrams that are clearly printed in GRAYSCALE (e.g. p. 51). He starts with a Python course that leads nowhere because along the way, further Python concepts... and that is really how this feels, as an entire book: a series of scraps, chaotically scattered, in no logical sequence, full with deviations. The author has neither decided on the audience, nor on the content — is it for beginners, is it for experts, how much theoretical concepts, and when which (which mathematical, which algorithmic). I am sorry, but I cannot recommend this at all.
| Best Sellers Rank | #165,787 in Books ( See Top 100 in Books ) #247 in Computer History & Culture #925 in Computer Science #13,606 in Higher & Continuing Education Textbooks |
| Customer reviews | 4.3 4.3 out of 5 stars (78) |
| Dimensions | 19.05 x 2.08 x 23.5 cm |
| Edition | Standard Edition |
| ISBN-10 | 1838645357 |
| ISBN-13 | 978-1838645359 |
| Item weight | 617 g |
| Language | English |
| Print length | 360 pages |
| Publication date | 28 November 2019 |
| Publisher | Packt Publishing |
T**S
Learn from the best....
I started my transition into AI around 3 years ago and have stuck with Hadelin all the way. Re-skilling is not easy and there is plenty sub-par content out there but Hadelin always manages to strike the perfect balance between theory and code every time and keeps the reader engaged and interested all the way. The book is great and I appreciate the concise summaries at the end of each chapter too which convey complex material into a few lines which is easy to remember and refer back to should you need a refresh. I am now well skilled in machine learning thanks to Hadelin and will always have his material (be it the book or online courses) on hand for referral in my new career as an AI project manager
X**H
I am surprised how this got published. On page 42 he is mentioning a formula for a distribution, before on page 48 (!) he tries to tell you what a distribution IS. He uses the word "magic", pretty much the last word I want to see in an AI book. He refers to COLORS in diagrams that are clearly printed in GRAYSCALE (e.g. p. 51). He starts with a Python course that leads nowhere because along the way, further Python concepts... and that is really how this feels, as an entire book: a series of scraps, chaotically scattered, in no logical sequence, full with deviations. The author has neither decided on the audience, nor on the content — is it for beginners, is it for experts, how much theoretical concepts, and when which (which mathematical, which algorithmic). I am sorry, but I cannot recommend this at all.
G**Y
This book is fun, challenging, and entertaining. I would totally love it except for one minor thing. It is written in TensorFlow and PyTorch, so you really have to know both. Nevertheless, the book is good for a read and reread.
Q**N
Tout est dans le titre. Les exemples sont tout autant complexes que concrets et très bien expliqués.
K**L
I am super-excited for my dear friend Hadelin for publishing his first book! I love my copy - it's got fantastic explanations and hands-on examples of AI applications. If you've taken any of our courses on Deep Learning and Artificial Intelligence, you will find this book a fantastic supplement to your learning journey. And if you're new to Hadelin's teaching method, you're in for a treat! This book will hold your hand as you venture into the world of AI, Reinforcement Learning, Q-Learning, Deep Convolutional Q-Learning and more. This book is build around real-world use-cases of AI: from advertising and energy savings to warehouse optimization and self-driving cars. The business applications is what really makes this book stand out. However, what I, perhaps, appreciate the most is that Hadelin gets you started from scratch. Artificial Intelligence libraries have gotten so easy to use that even with minimal knowledge of Python you can write up a few dozen lines of code - and voila! Have a Deep Neural Network ready to go. In this book Hadelin makes sure to supply you with that minimal Python foundation to get you going. In short - you're going to love this book, learn a lot and feel accomplished after every chapter! - Kirill
A**R
Beaucoup de techno ne sont plus d'actualité. Le code ne marche plus car certaines librairies ne sont plus disponibles. Dans l'ensemble, un livre intéressant. Mais il faut une bonne mise à jour.