Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale
Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale__front

Description

Product Description

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.

Key Features

  • Third edition of the bestselling, widely acclaimed Python machine learning book
  • Clear and intuitive explanations take you deep into the theory and practice of Python machine learning
  • Fully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices

Book Description

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you''ll keep coming back to as you build your machine learning systems.

Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself.

Updated for TensorFlow 2.0, this new third edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It''s also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs. Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents.

This book is your companion to machine learning with Python, whether you''re a Python developer new to machine learning or want to deepen your knowledge of the latest developments.

What you will learn

  • Master the frameworks, models, and techniques that enable machines to ''learn'' from data
  • Use scikit-learn for machine learning and TensorFlow for deep learning
  • Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more
  • Build and train neural networks, GANs, and other models
  • Discover best practices for evaluating and tuning models
  • Predict continuous target outcomes using regression analysis
  • Dig deeper into textual and social media data using sentiment analysis

Who This Book Is For

If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for anyone who wants to teach computers how to learn from data.

Table of Contents

  1. Giving Computers the Ability to Learn from Data
  2. Training Simple ML Algorithms for Classification
  3. ML Classifiers Using scikit-learn
  4. Building Good Training Datasets - Data Preprocessing
  5. Compressing Data via Dimensionality Reduction
  6. Best Practices for Model Evaluation and Hyperparameter Tuning
  7. Combining Different Models for Ensemble Learning
  8. Applying ML to Sentiment Analysis
  9. Embedding a ML Model into a Web Application
  10. Predicting Continuous Target Variables with Regression Analysis
  11. Working with Unlabeled Data - Clustering Analysis
  12. Implementing Multilayer Artificial Neural Networks
  13. Parallelizing Neural Network Training with TensorFlow
  14. TensorFlow Mechanics
  15. Classifying Images with Deep Convolutional Neural Networks
  16. Modeling Sequential Data Using Recurrent Neural Networks
  17. GANs for Synthesizing New Data
  18. RL for Decision Making in Complex Environments

Review

"Python Machine Learning 3rd edition is a very useful book for machine learning beginners all the way to fairly advanced readers, thoroughly covering the theory and practice of ML, with example datasets, Python code, and good pointers to the vast ML literature about advanced issues."

--

Alex Martelli, Python Software Foundation Fellow, Co-author of Python Cookbook and Python in a Nutshell



"A brilliantly approachable introduction to machine learning with Python. Raschka and Mirjalili break difficult concepts down into language the layperson can easily understand while placing these examples within real-world contexts. A worthy addition to your machine learning library!"

--

Dr Kirk Borne, Principal Data Scientist, Data Science Fellow, and Executive Advisor at Booz Allen Hamilton, and co-author of Ten Signs of Data Science Maturity



"Python Machine Learning, Third Edition is a highly practical, hands-on book that covers the field of machine learning, from theory to practice. I strongly recommend it to any practitioner who wishes to become an expert in machine learning. Excellent book!"

--

Sebastian Thrun, CEO of Kitty Hawk Corporation, and chairman and co-founder of Udacity

"I''ve been teaching "Big Data Machine Learning AI" at Johns Hopkins Carey Business School for the past several years and have employed Sebastian Raschka and Vahid Mirjalili''s book ever since. I give their newest edition the highest marks for making Machine Learning digestible for the lay person. Their book is a must-have when teaching new recruits the amazing art of AI - I give their book my most enthusiastic endorsement!"

--

Jim Kyung-Soo Liew, Ph.D., Associate Professor in Finance and AI at Johns Hopkins Carey Business School

About the Author

Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. Some of his recent research methods have been applied to solving problems in the field of biometrics for imparting privacy to face images. Other research focus areas include the development of methods related to model evaluation in machine learning, deep learning for ordinal targets, and applications of machine learning to computational biology.

Vahid Mirjalili obtained his Ph.D. in mechanical engineering working on novel methods for large-scale, computational simulations of molecular structures. Currently, he is focusing his research efforts on applications of machine learning in various computer vision projects at the Department of Computer Science and Engineering at Michigan State University. He recently joined 3M Company as a research scientist, where he uses his expertise and applies state-of-the-art machine learning and deep learning techniques to solve real-world problems in various applications to make life better.

Product information

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Videos

Help others learn more about this product by uploading a video!
Upload video
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

More items to explore

Related posts

Customer reviews

4.5 out of 54.5 out of 5
281 global ratings

Reviews with images

Top reviews from the United States

Alex J. DeCaria
3.0 out of 5 starsVerified Purchase
Great Content - Poor Printing. Kindle Version Much Better.
Reviewed in the United States on January 20, 2020
The print version of the book was printed very poorly (see picture). It reminded me of something printed on a low-resolution dot-matrix printer that was low on ink. Although it was readable, it was not crisp and clear. You would expect a $35 book to be printed on quality... See more
The print version of the book was printed very poorly (see picture). It reminded me of something printed on a low-resolution dot-matrix printer that was low on ink. Although it was readable, it was not crisp and clear. You would expect a $35 book to be printed on quality paper, with sharp printing.

I returned the print copy and purchased the Kindle version, which is surprisingly good. Although I prefer a physical copy of reference books, in this case I would recommend the Kindle version.

As far as actual content, so far I am finding it well-written and informative.
20 people found this helpful
Helpful
Report
Amazon Customer
1.0 out of 5 starsVerified Purchase
Stellar content, poor print quality
Reviewed in the United States on May 11, 2020
I was extremely excited to have the newest edition of my favorite machine learning text, but I was very disappointed with the cheap print quality of the book. Comparing side-by-side with the print copy of the 2nd edition, it''s almost unreadable. The text is too light and... See more
I was extremely excited to have the newest edition of my favorite machine learning text, but I was very disappointed with the cheap print quality of the book. Comparing side-by-side with the print copy of the 2nd edition, it''s almost unreadable. The text is too light and low resolution, and code snippets look terrible. The binding feels cheap too, cracking open the book past the first few hundred pages feels like it''s going to split it apart.

I loved the 2nd edition as well as the care and effort the authors put into this book, but Packt''s cheap printing ruins it for me. If I would have known, I would have just bought the kindle edition.

Update: I reached out to Packt publishing directly, and they told me Amazon prints these copies themselves. Amazon customer service refused to replace the copy I received since I''m passed the return window and missed it because I tried to reach out to Packt first. I suggest avoiding purchasing this book from Amazon and buying directly from Packt themselves. This has been a poor customer experience.
18 people found this helpful
Helpful
Report
Tony
5.0 out of 5 starsVerified Purchase
Good for learning about machine learning, needs development on deep learning
Reviewed in the United States on June 20, 2020
I have not finished this book and I just reached chapter 16, but here are my key takeaways for this book: 1. Everything before chapter 13, before the book fully gets into deep learning and TensorFlow, are great. With already some background in python for data analysis... See more
I have not finished this book and I just reached chapter 16, but here are my key takeaways for this book:
1. Everything before chapter 13, before the book fully gets into deep learning and TensorFlow, are great. With already some background in python for data analysis (I have also taken the Andrew Ng''s Coursera course on Machine Learning), this book supplements my knowledge greatly. The biggest highlight I would say is that it introduces you JUST ENOUGH concepts for you to understand how everything works. In addition, the contents are structured really well, too. If I were to rate this section of the book, I would give 10/10 although it would be better to have some exercises, you can always practice using Kaggle datasets.
2. Since chapter 13 when the book gets into deep learning, things get worse a little bit... The contents are still good in general, however the connections between contents might not be the case. The connections between contents are important for new learners because that helps them to understand how A leads to B and then leads to C. Here, I found the actual TensorFlow documentation a really good material to review along with the book. After reviewing those documentations, coming back to this book allows me to comprehend much more than reading the first time. In addition, if you are not careful enough, the deep learning sections also seems to have accuracy issues with its contents that could confuse people. Even though I have not finished the book, I would give 9/10 for everything I have read for deep learning.
13 people found this helpful
Helpful
Report
John
5.0 out of 5 starsVerified Purchase
Great book, quality issue fixed
Reviewed in the United States on January 27, 2020
I really wanted to like this book, but the printed text is unreadable. Smeared, blurry, and faded beyond legibility. Looks like a washed out photocopy of a page printed on a 1980’s ribbon dot-matrix printer.. but a printer that was partially out of ink. There’s no excuse... See more
I really wanted to like this book, but the printed text is unreadable. Smeared, blurry, and faded beyond legibility. Looks like a washed out photocopy of a page printed on a 1980’s ribbon dot-matrix printer.. but a printer that was partially out of ink. There’s no excuse for this. No reputable publisher would ship material this poor.

Update: Was contacted by Amazon rep, and new book with corrected print was shipped free of charge. The replacement text looks great. The book itself is great.. well written, easy to follow, and contains a lot of good information.
8 people found this helpful
Helpful
Report
Tahoe Dad
5.0 out of 5 starsVerified Purchase
Best of Data Science books
Reviewed in the United States on January 9, 2020
I’m an experienced programmer picking up data sci and got a bunch of top recommended books to crash learn (and some online courses)

This is best of the books!
9 people found this helpful
Helpful
Report
Yikai Gao
4.0 out of 5 starsVerified Purchase
bad printing quality and no billing, but I received free replacement
Reviewed in the United States on January 21, 2020
1. The quality of printing is bad. 2. I placed the order on Jan 19 2020. When I open the last page of the book, I surprisingly saw "Made in the USA, 19 January 2020", which means they printed the book right after I placed the order. 3. I expect the billing is... See more
1. The quality of printing is bad.
2. I placed the order on Jan 19 2020. When I open the last page of the book, I surprisingly saw "Made in the USA, 19 January 2020", which means they printed the book right after I placed the order.
3. I expect the billing is included with the book. I need it to request reimbursement from my company. But it is missing.

Today is Feb 11:
I got phone call saying that they provide replacement for free. The new book is on the road.
So I am happy to give a better overall rating.
5 people found this helpful
Helpful
Report
Vinay
5.0 out of 5 starsVerified Purchase
great book with a perfect mix of mathematical concepts and practical examples
Reviewed in the United States on September 14, 2020
I haven''t finished reading yet. I am just about halfway through. I like the fact that this book goes into the underlying math and explains concepts very well. The author provides links to his pdf notes where the details are too much of a digression. Rather than using... See more
I haven''t finished reading yet. I am just about halfway through. I like the fact that this book goes into the underlying math and explains concepts very well. The author provides links to his pdf notes where the details are too much of a digression. Rather than using higher-level machine learning libraries like scikit, tensor flow and keras, the author walks through the algorithms in python and numpy. Overall, this book has the right balance between being hands-on with the code and explaining the math. I am happy I got this.
4 people found this helpful
Helpful
Report
Oleksandr
5.0 out of 5 starsVerified Purchase
Best introductory reading on ML I have seen
Reviewed in the United States on December 25, 2019
The book is very comprehensive, up-to-date, and keeps a nice balance of intuition and mathematical rigor.
9 people found this helpful
Helpful
Report

Top reviews from other countries

Jason James
1.0 out of 5 starsVerified Purchase
Text is highly readble but the coded examples are very frustrating
Reviewed in the United Kingdom on January 5, 2020
I thought I''d like to get into ML and Python and this book seemed like a great way to start. However, I''ve not been able to get passed the second chapter! The environment needed to make all the code work seems like a minefield and the explanations didn''t prove helpful at...See more
I thought I''d like to get into ML and Python and this book seemed like a great way to start. However, I''ve not been able to get passed the second chapter! The environment needed to make all the code work seems like a minefield and the explanations didn''t prove helpful at all. I''ve had numerous Python versions over the past year or two and was currently using 3.7.6 and thought I''d go for 3.8.1. Ended up uninstalling everything, including my Visual Studio version and put 3.7.6 back on and nothing runs without significant errors. I updated Anaconda and sorted out the myriad of path variables need. I eventually got the example from Ch 2 running directly in Python (not Jupyter or Spyder) by using the local test data set. Sorry for the rant, but I own countless programming books and in twenty years I''ve never experienced such a struggle with getting sample code running. In fairness, it could be a Python thing and nothing to do with the Author, but considerably more investigation should have been made into the building of a test environment for this book.
I thought I''d like to get into ML and Python and this book seemed like a great way to start. However, I''ve not been able to get passed the second chapter! The environment needed to make all the code work seems like a minefield and the explanations didn''t prove helpful at all. I''ve had numerous Python versions over the past year or two and was currently using 3.7.6 and thought I''d go for 3.8.1. Ended up uninstalling everything, including my Visual Studio version and put 3.7.6 back on and nothing runs without significant errors. I updated Anaconda and sorted out the myriad of path variables need. I eventually got the example from Ch 2 running directly in Python (not Jupyter or Spyder) by using the local test data set.

Sorry for the rant, but I own countless programming books and in twenty years I''ve never experienced such a struggle with getting sample code running. In fairness, it could be a Python thing and nothing to do with the Author, but considerably more investigation should have been made into the building of a test environment for this book.
12 people found this helpful
Report
Nathan Quinn
5.0 out of 5 starsVerified Purchase
Excellent overview of machine learning in python
Reviewed in the United Kingdom on March 3, 2021
If you''re just starting out this book might be slightly too advanced. It''s perfect for junior data scientists who want to refresh their knowledge or touch up on some areas they haven''t seen before. In a similar way it would be perfect for people with technical backgrounds...See more
If you''re just starting out this book might be slightly too advanced. It''s perfect for junior data scientists who want to refresh their knowledge or touch up on some areas they haven''t seen before. In a similar way it would be perfect for people with technical backgrounds such as computer science and mathematics who haven''t done any machine learning before but want to.
If you''re just starting out this book might be slightly too advanced. It''s perfect for junior data scientists who want to refresh their knowledge or touch up on some areas they haven''t seen before. In a similar way it would be perfect for people with technical backgrounds such as computer science and mathematics who haven''t done any machine learning before but want to.
Report
aadm
3.0 out of 5 starsVerified Purchase
Excellent content, awful print quality
Reviewed in Italy on February 7, 2020
This book is highly recommended by practitioners in the field, and from a first quick glance it is indeed very promising; it offers a hands-on and very practical guide to ML. But the print quality is truly awful, something that I find it hard to dismiss. One buys a book...See more
This book is highly recommended by practitioners in the field, and from a first quick glance it is indeed very promising; it offers a hands-on and very practical guide to ML. But the print quality is truly awful, something that I find it hard to dismiss. One buys a book these days because (for some of us at least) printed words and diagrams are a better way to understand and learn than staring at a screen. Yes, you could argue that 24 euros is an excellent price for such a "heavy" book but I wouldnt mind paying 10-15 euros more to have a book printed with decent quality.
This book is highly recommended by practitioners in the field, and from a first quick glance it is indeed very promising; it offers a hands-on and very practical guide to ML. But the print quality is truly awful, something that I find it hard to dismiss. One buys a book these days because (for some of us at least) printed words and diagrams are a better way to understand and learn than staring at a screen. Yes, you could argue that 24 euros is an excellent price for such a "heavy" book but I wouldnt mind paying 10-15 euros more to have a book printed with decent quality.
7 people found this helpful
Report
Translate all reviews to English
Andrea
4.0 out of 5 starsVerified Purchase
Ottimi contenuti, bassa qualità di stampa
Reviewed in Italy on January 4, 2020
Questa terza edizione di Python Machine Learning rispetto alla precedente è sicuramente un ottimo miglioramento, con dei nuovi contenuti di grande interesse. È un libro di livello intermedio molto improntato sulla pratica, per cui non mi sento di consigliarlo a chi non ha...See more
Questa terza edizione di Python Machine Learning rispetto alla precedente è sicuramente un ottimo miglioramento, con dei nuovi contenuti di grande interesse. È un libro di livello intermedio molto improntato sulla pratica, per cui non mi sento di consigliarlo a chi non ha delle solide basi di python e delle buone nozioni sul machine learning. Purtroppo, la qualità della stampa è davvero bassa. Il libro come si può intuire dal numero di pagine è davvero grosso (il font mi pare piuttosto grande). Inoltre, non capisco questa scelta da parte delle case editrici di stampare libri di questo tipo in bianco e nero.
Questa terza edizione di Python Machine Learning rispetto alla precedente è sicuramente un ottimo miglioramento, con dei nuovi contenuti di grande interesse.
È un libro di livello intermedio molto improntato sulla pratica, per cui non mi sento di consigliarlo a chi non ha delle solide basi di python e delle buone nozioni sul machine learning.
Purtroppo, la qualità della stampa è davvero bassa. Il libro come si può intuire dal numero di pagine è davvero grosso (il font mi pare piuttosto grande). Inoltre, non capisco questa scelta da parte delle case editrici di stampare libri di questo tipo in bianco e nero.
3 people found this helpful
Report
Translate review to English
Zuhret B.
4.0 out of 5 starsVerified Purchase
Inhalt sehr gut! Qualität ausreichend.
Reviewed in Germany on February 26, 2020
Der Inhalt dieses Buches ist wirklich bemerkenswert. Man sollte beim Kauf dieses Buches allerdings besonders darauf achten, dass man schon einige Erfahrungen mit Python hat. Für einen totalen Anfänger könnte es schwierig werden, den Inhalten zu folgen. Hut ab an die...See more
Der Inhalt dieses Buches ist wirklich bemerkenswert. Man sollte beim Kauf dieses Buches allerdings besonders darauf achten, dass man schon einige Erfahrungen mit Python hat. Für einen totalen Anfänger könnte es schwierig werden, den Inhalten zu folgen. Hut ab an die Autoren! Ein Mangel muss ich trotzdem nennen... Die Druckqualität sowie die Buchbindung sind nur "ausreichend". Das Buch liegt wie ein fetter Lappen in der Hand. Dennoch ist der Preis für ein 700+ Seiten langes buch unschlagbar!
Der Inhalt dieses Buches ist wirklich bemerkenswert. Man sollte beim Kauf dieses Buches allerdings besonders darauf achten, dass man schon einige Erfahrungen mit Python hat. Für einen totalen Anfänger könnte es schwierig werden, den Inhalten zu folgen. Hut ab an die Autoren!
Ein Mangel muss ich trotzdem nennen... Die Druckqualität sowie die Buchbindung sind nur "ausreichend". Das Buch liegt wie ein fetter Lappen in der Hand. Dennoch ist der Preis für ein 700+ Seiten langes buch unschlagbar!
5 people found this helpful
Report
Translate review to English
See all reviews
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Customers who bought this item also bought

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Customers who viewed this item also viewed


What's new in this third edition?

Many readers have told us how much they love the first 12 chapters of the book as a comprehensive introduction to machine learning and Python's scientific computing stack. To keep these chapters relevant and to improve the explanations based on reader feedback, we updated them to support the latest versions of NumPy, SciPy, and scikit-learn.

One of the most exciting events in the deep learning world was the release of TensorFlow 2. Consequently, all the TensorFlow-related deep learning chapters have received a big overhaul. Since TensorFlow 2 introduced many new features and fundamental changes, we rewrote these chapters from scratch. Furthermore, we added a new chapter on Generative Adversarial Networks, which are one of the hottest topics in deep learning research, as well as a comprehensive introduction to reinforcement learning based on numerous requests from readers.

What are the key takeaways from your book?

Machine learning can be useful in almost every problem domain. We cover a lot of different subfields of machine learning in the book. My hope is that people can find inspiration for applying these fundamental techniques to drive their research or industrial applications. Also, using well-developed and maintained open source software makes machine learning very accessible to a wide audience of experienced programmers, as well as those who are new to programming.

Python Machine Learning Third Edition is also different from a classic academic machine learning textbook due to its emphasis on practical code examples. However, I think this approach is highly valuable for both students and young researchers who are getting started in machine learning and deep learning. We heard from readers of previous editions that the book strikes a good balance between explaining the broader concepts supported with great hands-on examples, giving a light introduction to the mathematical underpinnings.

Why is it important to learn about GANs and reinforcement learning?

The first GANs paper had just come out two years before we started working on the second edition, but we weren't sure of its relevance. However, GANs have evolved into one of the hottest and most widely used deep learning techniques. People use them for creating artwork, colorizing and improving the quality of photos, and to recreate old video game textures in higher resolutions. It goes without saying that an introduction to GANs was long overdue.

Another important machine learning topic not included in previous editions is reinforcement learning, which has received a massive boost in attention recently. Thanks to impressive projects such as DeepMind's AlphaGo and AlphaGo Zero, reinforcement learning has received extensive news coverage. And just recently, it’s been used to compete with the world's top e-sports players in the real-time strategy video game StarCraft II. We hope that our new chapters can provide an accessible and practical introduction to this exciting field.

Product information

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale

Python Machine online sale Learning: Machine Learning and Deep Learning with sale Python, scikit-learn, and TensorFlow 2, 3rd Edition outlet sale