Aurélien Géron Hands-On Machine Learning with Scikit-Learn and TensorFlow [2017]
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Описание:
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Naturally you are excited about Machine Learning and you would love to join the party. Perhaps you would like to give your homemade robot a brain of its own? Make it recognize faces? Or learn to walk around? Or maybe your company has tons of data (user logs, financial data, production data, machine sensor data, hotline stats, HR reports, etc.), and more than likely you could unearth some hidden gems if you just knew where to look.
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For example:
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-Segment customers and find the best marketing strategy for each group
-Recommend products for each client based on what similar clients bought
-Detect which transactions are likely to be fraudulent
-Predict next year’s revenue
-And more!
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Objective and Approach
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This book assumes that you know close to nothing about Machine Learning. Its goal is to give you the concepts, the intuitions, and the tools you need to actually implement programs capable of learning from data.

We will cover a large number of techniques, from the simplest and most commonly used (such as linear regression) to some of the Deep Learning techniques that regularly win competitions.

Rather than implementing our own toy versions of each algorithm, we will be using actual production-ready Python frameworks:
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Scikit-Learn
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Scikit-Learn is very easy to use, yet it implements many Machine Learning algorithms efficiently, so it makes for a great entry point to learn Machine Learning.
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TensorFlow
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TensorFlow is a more complex library for distributed numerical computation using data flow graphs. It makes it possible to train and run very large neural networks efficiently by distributing the computations across potentially thousands of multi-GPU servers. TensorFlow was created at Google and supports many of their large-scale Machine Learning applications. It was open-sourced in November 2015.
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Скачать: https://cloud.mail.ru/public/3sqL/kabLdQqwj
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Sanaulla M., Samoylov N. Java 9 Cookbook [2017]
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Описание:
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Java is an object-oriented programming language. It is one of the most widely accepted languages because of its design and programming features, particularly in its promise that you can write a program once and run it anywhere.

This cookbook offers a range of software development examples in simple and straightforward Java 9 code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently. Starting with the installation of Java, each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works.

We cover major concepts such as Project Jigsaw and various tools that will enable you to modularize your applications. You will learn new features in the form of recipes that will make your applications modular, secure, and fast.
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What You Will Learn
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- Set up JDK and know the differences in the JDK 9 installation
- Implement OO Designs using Classes and Interfaces
- Manage operating system processes
- Understand the new modular JDK and modular programming
- Create a modular application with clear dependencies
- Build graphical user interfaces using JavaFX
- Use the new HTTP Client API
- Learn about the new diagnostic features in Java 9
- See how to use the new jShell REPL tool
- Execute ES6-compliant JavaScript code from your Java applications

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Скачать: https://cloud.mail.ru/public/Bf9B/LvsHe7aYM
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#java@physics_math
#jdk@physics_math
#javascript@physics_math
#javafx@physics_math
#алгоритмы@physics_math
#программирование@physics_math

#python #код #django #питон #джанго #программирование #cod #coding #ML #DataMining #deeplearning #neuralnets #neuralnetworks #neuralnetworks #ArtificialIntelligence #MachineLearning #DigitalTransformation #tech #ML #python