Recommended Books for UPSC IAS Mains Exam Preparation

ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent SystemsNd Machine Learning Project3 Classification4 Training Models5 Support Vector Machines6 Decision Trees7 Ensemble Learning and Random Forests8 Dimensionality ReductionNEURAL NETWORKS AND DEEP LEARNING9 Up and Running with TensorFlow10 Introduction to Artificial Neural Networks11 Training Deep Neural Nets12 Distributing TensorFlow Across Devices and Servers13 Convolutional Neural Networks14 Recurrent Neural Networks15 Autoencoders16 Reinforcement Learning This has to be at the top of my list of most highly recommended books The amount of material it covers is awesome and I can find almost no fault with it The writing is extremely clear easy it covers is awesome and I can find almost no fault with it The writing is extremely clear easy read written in impeccable English Very well edited I don t think I came across any spelling or grammar errors or any real errors at all Truly solid writingThe breadth of information covered if ite wide The choice to start with Scikit Learn was interesting but makes sense on some level while he s introducing the basic machine learning concepts Simple machine learning techniues like logistic regression data conditioning dealing with training validation test set Even if you ve read about these concepts a million times you might still glean Using Twitter For Business (Stuff Made Simple Book 4) useful information from these pagesThe Tensorflow section is also super well done Straightforward setup instructions pretty intelligible explanation of the basic concepts variables placeholders layers etc to get you started The example code isite good and the notebooks are ite complete and seem to work well with maybe a few tweaks and additional setup for some I also found that the notebooks show examples than what s in the book which can be niceI only went really hands on with the reinforcement learning notebook and found that it was well done and a good base to start my own work from Even just having a section on reinforcement learning is very rare in a book of this style and Geron s samples and explanations are really solid He obviously has a strong grasp of many varied fields within deep learning and that includes reinforcement learning The only thing

I Wish It Had 
wish it had an A3C sample to make my life that much easier But you can t have everythingI really liked his tips on which types of layers activations regularization etc are most effective and gives good Starting Points For Decent points for decent His explanation of multi GPU Tensorflow was also ite good The Tensorboard section was also very How to make Money with Porn usefulIn short if you want ONE book to get you into machine learning and Tensforlow is on your radar you can t go wrong with this one Highly recommended This is one of the best books you can get for someone who is just starting out in ML in its libraries such as Tensorflow It covers the basics very good As a book it is 55Once you are done with this book the ideal next step is the Deep Learning Book By Ian GoodfellowSadly my copy didn t look so good If it were annder 300 book I would have let it slide but when the book costs 1450. Urlien Gron helps you gain an intuitive nderstanding of the concepts and tools for building intelligent systems Youll learn a range of techniues starting with simple linear regression and progressing to deep neural networks With exercises in each chapter to help you apply what youve learned all you need is programming experience to get startedExplore the machine learning landscape particularly neural netsUse scikit learn to track an example machine learni. ,

Free download Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

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Hands On Machine Learning strikes a perfect blend between application and theory Beginners to machine learning will find it clear to follow and will be able to build complete systems within a few chapters while those with an intermediate level of experience will find a comprehensive p to date guide to this exciting fieldPros Practical The book focuses on examples and implementations of the algorithms rather than the mathematics allowing readers to The Wind on the Heath uickly build their own machine learning models Readable Geron does not get too caughtp in the details and he provides warnings when the next section is heavy on theory Online Jupyter Notebooks The Jupyter Notebooks that accompany this book and can even be viewed for free with no purchase from the author s GitHub are worth the entire purchase price They feature examples of all the code in the book plus additional explanatory material The end of chapter solutions to the coding exercises are gradually being added to the notebooks Up to date The leading edge of machine learning and in particular deep learning is constantly shifting and Geron does his best to keep the notebooks Get Up and Do It! updated Multiple times I have read an ML paper and then found the techniue implemented in the notebooks within weeks of the publication of the article Some of the techniues in the book may not be at the absolute forefront of the field but they are still good enough for learning the fundamentals Engaging The book is a joy to read and the author isick to respond to issues pointed out by readers in the book or in the Jupyter Notebooks Clearly the author enjoys machine learning and teaching it to othersCons Experts may find this book lacks enough depth because it is focused on getting p and running rather than optimization It also is specifically aimed towards Python and Tensorflow for deep learning so those looking for implementations in other frameworks will have to search elsewhere Due to the rapidly evolving nature of the field a book on machine learning Due to the rapidly evolving nature of the field a print book machine learning always need to be periodically re issued to stay on top of all the developments Nonetheless the fundamentals covered in this book will remain relevant and the Jupyter Notebooks are constantly pdated with new techniuesFinal Line If you have some basic experience with Python loops conditionals dictionaries and especially Numpy and zero to a medium level of experience with machine "learning this book is an optimal choice I would recommend it both for those wishing "this book is an optimal choice I would recommend it both for those wishing self study and Newsjacking uickly develop working models and for students in machine learning who want to learn the implementations of theoretical coursework I have enjoyed spending time working through the chapters and the exercises and have found this book extremelyseful The table of contents is missing in the Kindle previewTHE FUNDAMENTALS OF MACHINE LEARNING1 The Machine Learning Landscape comment probably the most lucid ML explanation I ve ever read2 End to Graphics in this book are printed in black and whiteThrough a series of recent breakthroughs deep learning has boosted the entire field of machine learning Now even programmers who know close to nothing about this technology can The Baron Goes Fast (Baron, use simple efficient tools to implement programs capable of learning from data This practical book shows you howBysing concrete examples minimal theory and two production ready Python frameworksscikit learn and TensorFlowauthor ,
Which it is totally worth it I expected a much better
Copy Amazing Book I 
Amazing book I just like to point out that the description for the kindle edition carries the disclaimer in bold that Graphics in this book are printed in black and white This is not true they are very much in colour and this makes a huge positive difference especially for I ve been involved in machine learning as a researcher practitioner for 5 years but sed R for most of it and was originally reluctant learning as a researcher practitioner for 5 years but sed R for most of it and was originally reluctant move to Python learning pandas numpy scipy and scikit learn is an intimidating hill to climb when you re already so comfortable in RI got this book for the deep learning portion about half of the overall book length and was shocked at the clarity of the conceptual explanations and code implementations I ve read many extensive explanations of important neural network architectures FFNs CNNs RNNs and none of them were this clear and intuitive Within 5 days I was able to go from having zero deep learning experience to easily implementing complicated architectures with TensorFlowMany people recommend Keras as an alternative to TensorFlow and I agree but reading this book allowed me to Merriam-Websters Collegiate Dictionary understand the structure of thenderlying code enough to se Keras much effectively than if I had just started there and never learned what s "going on nder the hoodI was so impressed with the deep learning portion of this book that I "on Giving the Body Its Due under the hoodI was so impressed with the deep learning portion of this book that I back and read the rest of it I can t recommend this work highly enough 5 for the first half of the book scikit learn 3 for the second half Tensor Flow Nice examples with Jupyter notebooks Good mix of practical with theoretical The scikit learn section is a great reference nice detailed explanation with good references for further reading to deepen your knowledge The tensor flow part is weaker as examples become complex Chollet s book Deep Learning with Python whichses Keras is much stronger as the examples are easier to Hilla Rebay understand as Keras is a simple layer over tensor flow to ease these Also Chollet explains the concepts better and nicely annotates his codeBuy this book for scikit learn and overall best practise for machine learning and data scienceBuy Chollet s Deep Learning Living Doll using Python for practical deep learning itselfOverall still a practical book with Jupyter Notebook supplementary material Examplecode presented in the book is not compatible with latest release of the tensorflow Reader will have to make the program work after lot of debugging and searching on net hence can be sometimes very frustrating Started with few chapters but had to leave it in the middle because of this issue But serves as a good starting point in terms of theoretical aspects on neural networks cnn rnnAt the same time I wasnable to find a book dedicated on deep learning with tensorflow Not a bad book at all but incompatible with latest version of tensorflow Can be Designing for Magazines used as a reference for learningnderstanding cnns rnn etc. Ng project end to endExplore several training models including support vector machines decision trees random forests and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures including convolutional nets recurrent nets and deep reinforcement learningLearn techniues for training and scaling deep neural netsApply practical code examples without acuiring excessive machine learning theory or algorithm detai. ,


8 thoughts on “ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk

  1. says: ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk

    ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk Read ê PDF, eBook or Kindle ePUB Æ Aurxe9lien Gxe9ron I've been involved in machine learning as a researcher / practitioner for 5 years, but used R for most of it and was originally reluctant to move to Python (learning pandas, numpy, scipy, and scikit learn is an intimidatin

  2. says: Aurxe9lien Gxe9ron Æ 6 Summary Read ê PDF, eBook or Kindle ePUB Æ Aurxe9lien Gxe9ron Free download Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

    Read ê PDF, eBook or Kindle ePUB Æ Aurxe9lien Gxe9ron Aurxe9lien Gxe9ron Æ 6 Summary ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk This has to be at the top of my list of most highly recommended books! The amount of material it covers is awesome, and I can find almost no fault with it. The writing is extremely clear, easy to read, written in impeccable English. Very well edited. I don't think I came across any spelling or grammar errors,

  3. says: Aurxe9lien Gxe9ron Æ 6 Summary Read ê PDF, eBook or Kindle ePUB Æ Aurxe9lien Gxe9ron ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk

    ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk Hands On Machine Learning strikes a perfect blend between application and theory. Beginners to machine learning will find it clear to follow and will be able to build complete systems within a few chapters while those with an intermediate level of experience will find a comprehensive, up to date guide to this exciting field.

    Pros:
    +

  4. says: Read ê PDF, eBook or Kindle ePUB Æ Aurxe9lien Gxe9ron Aurxe9lien Gxe9ron Æ 6 Summary ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk

    Aurxe9lien Gxe9ron Æ 6 Summary Read ê PDF, eBook or Kindle ePUB Æ Aurxe9lien Gxe9ron Free download Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 5* for the first half of the book, scikit learn. 3* for the second half, Tensor Flow. Nice examples with Jupyter notebooks. Good mix of practical with theoretical. The scikit learn section is a great reference, ni

  5. says: Free download Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Read ê PDF, eBook or Kindle ePUB Æ Aurxe9lien Gxe9ron Aurxe9lien Gxe9ron Æ 6 Summary

    ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk

    This is one of the best books you can get for someone who is just starting out in ML, in its libraries suc

  6. says: Free download Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Aurxe9lien Gxe9ron Æ 6 Summary ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk

    ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk The table of contents is missing in the Kindle preview.

    THE FUNDAMENTALS OF MACHINE LEARNING
    1. The Machine Learning Landscape (comment: probably the most lucid ML explanation I've ever read)
    2. End to End Machine Learning Project
    3. Classification
    4. Training Models
    5. Support Vector Machines
    6. Decision T

  7. says: Free download Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Aurxe9lien Gxe9ron Æ 6 Summary ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk

    Free download Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Read ê PDF, eBook or Kindle ePUB Æ Aurxe9lien Gxe9ron Aurxe9lien Gxe9ron Æ 6 Summary Example/code presented in the book is not compatible with latest release of the tensorflow. Reader will have to make the program work after lot of debugging and searching on net, hence can be sometimes very frustrating. Started with few chapters, but had to leave it in the middle because of this issue. But serves as a good starting point in terms of theoretical aspects on neural networks (cnn, rnn).

    At the same time I was unable t

  8. says: Read ê PDF, eBook or Kindle ePUB Æ Aurxe9lien Gxe9ron ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk Aurxe9lien Gxe9ron Æ 6 Summary

    Read ê PDF, eBook or Kindle ePUB Æ Aurxe9lien Gxe9ron Aurxe9lien Gxe9ron Æ 6 Summary ONLINE pdf Hands–On Machine Learning with Scikit–Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Autor Aurxe9lien Gxe9ron – evoslimmingcoupon.co.uk Amazing book. I would just like to point out that the description for the kindle edition carries the disclaimer (in bold) that Graphics in thi

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