Description:
Editorial Reviews
About the Author
Before this he worked as an engineer in a variety of domains: finance (JP Morgan and Société Générale), defense (Canada’s DOD), and healthcare (blood transfusion). He published a few technical books (on C++, WiFi, and Internet architectures), and was a Computer Science lecturer in a French engineering school.
A few fun facts: he taught his 3 children to count in binary with their fingers (up to 1023), he studied microbiology and evolutionary genetics before going into software engineering, and his parachute didn’t open on the 2nd jump.
Reviews:
5.0 out of 5 stars Great book to learn practical Machine Learning
I have just finished Hands-On ML book and I cannot recommend it enough.I have been working as a Mobile Software Developer for 12 years and now I am thinking about trying something new. I remember some Math and Statistics from school but definitely not enough to get deep into the subject.From my experience, you can read the book and finish all the exercises without understanding any of the Math (although as author points out, it is beneficial if you understand the Math behind it - e.g. to understand why it works, read and implement papers).Book goes into the detail and explains the history of how we got there so it was fairly easy for me to follow and understand majority of the book. I missed this kind of detail from ML courses that I tried. You will also see significant papers explained - something that would be difficult for me to do alone at this point.However, one thing I appreciated the most were the exercises. In ML courses I tried, the exercises were simple and too easy to give you anything. Here it was a real challenge and I have a good feeling about what I learned by doing those exercises.There are also a lot of references for books or papers in case you want to focus on a specific area.One blind spot I am seeing though is focus on Keras/TensorFlow and GCP pipeline whereas the most examples on internet seem to be from PyTorch and AWS as a most popular cloud solution. However, as author points out, if you know one it will be easy for you to switch (I also reimplemented some of the PyTorch projects as part of exercises without too much difficulty). Still, I need to think about it and get some more PyTorch and AWS experience.
5.0 out of 5 stars Good book
It's a very good introductory book to supervised and unsupervised learning algorithms. It has a lot of code and brief explanations of the theory. It's a very good start if you want to venture into the world of machine learning.
5.0 out of 5 stars Hands on experience machine learning review
Excellence content and print quality, strong fundamentals to understand machine learning concepts with practice
5.0 out of 5 stars Only for Experts |Econometricians can transform the whole world through reading this amazing book
This book is the best one I have been looking for in my career development. I appreciate your quick service delivery, and I thank the Author for the tough work they have done with us.However, the cost of transport is so challenging (from the Bolo/USA to Africa/Ghana is so expensive), and the book cover page would be a hard one instead of a paper cover, as the book is heavier.Thank you.
4.0 out of 5 stars Really good book, inadequate packaging by Amazon
Bolo packages the book inside a box without any inner cushioning or envelope. It arrived with a bent corner and tiny bruises. That aside the book is ok.
5.0 out of 5 stars Good book
Really good book to own.
5.0 out of 5 stars This is a dynamite book for practical understanding.
Wow! What a thorough and well written book. It starts out with examples if you are purely interested in how to apply ML methods. The rest of the book takes a deeper dive into what the different algorithms are doing and gives examples of how to apply each method. I think the level of the writing is a great balance between thoroughness and approachability. My background is in mechanical engineering and I find the detail of the book to be satisfying, without getting so bogged down in theory and proofs as to make it overwhelming. It is also very comprehensive - you could use this book as a reference for looking up more detail about specific algorithms as they come up in your work/learning, but I am actually enjoying reading it cover-to-cover to broaden my understanding of the subject.Finally, you can't beat the price for a book of this quality. This well exceeded my expectations.
5.0 out of 5 stars would highly recommend
great and well written
Ótimo livro
Bom material e conteúdo muito enriquecedor
Low quality of the paper. Text from the other side shines through.
Great read!
plenty of detail on all topics. Quite heavy and bulky so try not to have to take it places too much to avoid damaging it or your back lol
Manuale pratico e con un approccio moderno
Ottimo libro per chi vuole padroneggiare il machine learning e il deep learning in modo pratico. Gli esempi con scikit-learn aiutano a capire bene i concetti di base, mentre le parti su Keras e TensorFlow mostrano come costruire e addestrare reti neurali anche complesse. L’autore riesce a spiegare con chiarezza temi tecnici come regularization, ottimizzazione e reti convoluzionali, senza mai risultare pesante. Una guida aggiornata, solida e ricca di codice, perfetta per chi lavora già con Python e vuole applicare davvero le tecniche di AI nei propri progetti.
Best book!
Absolutely brilliant!
Visit the O'Reilly Media Store
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
AED40575
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Visit the O'Reilly Media Store
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
AED40575
Quantity:
Order today to get by 7-14 business days
This item qualifies for free delivery
Imported From: United States
At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.
BOLO is not an authorized or official retailer for most brands, nor are we affiliated with manufacturers unless specifically stated on a product page. Instead, we source verified sellers, authorized distributors or directly from the manufacturer.
Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.
If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.
Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.
All product information, images, descriptions, and reviews originate from the manufacturer or from trusted sellers overseas. BOLO is not affiliated with, endorsed by, or an authorized retailer for most brands listed on our website unless stated otherwise.
While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.
Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.
BOLO operates in accordance with the laws and regulations of United Arab Emirates. Any items found to be restricted or prohibited for sale within the UAE will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in United Arab Emirates are listed on our website.
All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.
All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.
Description:
Editorial Reviews
About the Author
Before this he worked as an engineer in a variety of domains: finance (JP Morgan and Société Générale), defense (Canada’s DOD), and healthcare (blood transfusion). He published a few technical books (on C++, WiFi, and Internet architectures), and was a Computer Science lecturer in a French engineering school.
A few fun facts: he taught his 3 children to count in binary with their fingers (up to 1023), he studied microbiology and evolutionary genetics before going into software engineering, and his parachute didn’t open on the 2nd jump.
Reviews:
5.0 out of 5 stars Great book to learn practical Machine Learning
I have just finished Hands-On ML book and I cannot recommend it enough.I have been working as a Mobile Software Developer for 12 years and now I am thinking about trying something new. I remember some Math and Statistics from school but definitely not enough to get deep into the subject.From my experience, you can read the book and finish all the exercises without understanding any of the Math (although as author points out, it is beneficial if you understand the Math behind it - e.g. to understand why it works, read and implement papers).Book goes into the detail and explains the history of how we got there so it was fairly easy for me to follow and understand majority of the book. I missed this kind of detail from ML courses that I tried. You will also see significant papers explained - something that would be difficult for me to do alone at this point.However, one thing I appreciated the most were the exercises. In ML courses I tried, the exercises were simple and too easy to give you anything. Here it was a real challenge and I have a good feeling about what I learned by doing those exercises.There are also a lot of references for books or papers in case you want to focus on a specific area.One blind spot I am seeing though is focus on Keras/TensorFlow and GCP pipeline whereas the most examples on internet seem to be from PyTorch and AWS as a most popular cloud solution. However, as author points out, if you know one it will be easy for you to switch (I also reimplemented some of the PyTorch projects as part of exercises without too much difficulty). Still, I need to think about it and get some more PyTorch and AWS experience.
5.0 out of 5 stars Good book
It's a very good introductory book to supervised and unsupervised learning algorithms. It has a lot of code and brief explanations of the theory. It's a very good start if you want to venture into the world of machine learning.
5.0 out of 5 stars Hands on experience machine learning review
Excellence content and print quality, strong fundamentals to understand machine learning concepts with practice
5.0 out of 5 stars Only for Experts |Econometricians can transform the whole world through reading this amazing book
This book is the best one I have been looking for in my career development. I appreciate your quick service delivery, and I thank the Author for the tough work they have done with us.However, the cost of transport is so challenging (from the Bolo/USA to Africa/Ghana is so expensive), and the book cover page would be a hard one instead of a paper cover, as the book is heavier.Thank you.
4.0 out of 5 stars Really good book, inadequate packaging by Amazon
Bolo packages the book inside a box without any inner cushioning or envelope. It arrived with a bent corner and tiny bruises. That aside the book is ok.
5.0 out of 5 stars Good book
Really good book to own.
5.0 out of 5 stars This is a dynamite book for practical understanding.
Wow! What a thorough and well written book. It starts out with examples if you are purely interested in how to apply ML methods. The rest of the book takes a deeper dive into what the different algorithms are doing and gives examples of how to apply each method. I think the level of the writing is a great balance between thoroughness and approachability. My background is in mechanical engineering and I find the detail of the book to be satisfying, without getting so bogged down in theory and proofs as to make it overwhelming. It is also very comprehensive - you could use this book as a reference for looking up more detail about specific algorithms as they come up in your work/learning, but I am actually enjoying reading it cover-to-cover to broaden my understanding of the subject.Finally, you can't beat the price for a book of this quality. This well exceeded my expectations.
5.0 out of 5 stars would highly recommend
great and well written
Ótimo livro
Bom material e conteúdo muito enriquecedor
Low quality of the paper. Text from the other side shines through.
Great read!
plenty of detail on all topics. Quite heavy and bulky so try not to have to take it places too much to avoid damaging it or your back lol
Manuale pratico e con un approccio moderno
Ottimo libro per chi vuole padroneggiare il machine learning e il deep learning in modo pratico. Gli esempi con scikit-learn aiutano a capire bene i concetti di base, mentre le parti su Keras e TensorFlow mostrano come costruire e addestrare reti neurali anche complesse. L’autore riesce a spiegare con chiarezza temi tecnici come regularization, ottimizzazione e reti convoluzionali, senza mai risultare pesante. Una guida aggiornata, solida e ricca di codice, perfetta per chi lavora già con Python e vuole applicare davvero le tecniche di AI nei propri progetti.
Best book!
Absolutely brilliant!
Similar suggestions by Bolo
More from this brand
Similar items from “Intelligence & Semantics”
Share with
Or share with link
https://www.bolo.ae/products/U1098125975