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Produkt-Bild: Clean Architecture: A Craftsman's Guide to Software Structure and Design (Robert C. Martin)

Clean Architecture: A Craftsman's Guide to Software Structure and Design (Robert C. Martin) von Robert C. Martin

Taschenbuch von Prentice Hall
Preis bei Amazon: EUR 34,99

ISBN-10: 0134494164
ISBN-13: 978-0134494166
Erscheinungsdatum: Sept. 2017, Auflage: 01
Produktgruppe Bücher
Zoom ± Produkt-Bild: Clean Architecture: A Craftsman's Guide to Software Structure and Design (Robert C. Martin)
Produkt-Bild: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques for Building Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques for Building Intelligent Systems von Aurélien Géron

Taschenbuch von O'Reilly UK Ltd.
Preis bei Amazon: EUR 32,99; Angebote ab EUR 27,90

ISBN-10: 1491962291
ISBN-13: 978-1491962299
Erscheinungsdatum: April 2017
Produktgruppe Bücher
Zoom ± Produkt-Bild: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques for Building Intelligent Systems

Produktbeschreibung

Concepts, Tools, and Techniques for Building Intelligent Systems
Broschiertes Buch

© 1998-2017 Amazon Inc. und Tochtergesellschaften

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Produkt-Bild: Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)

Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin) von Robert C. Martin

Taschenbuch von Prentice Hall International
Preis bei Amazon: EUR 29,08

ISBN-10: 0132350882
ISBN-13: 978-0132350884
Erscheinungsdatum: August 2008, Auflage: 1
Produktgruppe Bücher
Zoom ± Produkt-Bild: Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)

Produktbeschreibung

Even bad code can function. But if code isn't clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn't have to be that way. Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code "on the fly" into a book that will instill within you the values of a software craftsman and make you a better programmer-but only if you work at it. What kind of work will you be doing? You'll be reading code-lots of code. And you will be challenged to think about what's right about that code, and what's wrong with it. More importantly, you will be challenged to reassess your professional values and your commitment to your craft. Clean Code is divided into three parts. The first describes the principles, patterns, and practices of writing clean code. The second part consists of several case studies of increasing complexity.Each case study is an exercise in cleaning up code-of transforming a code base that has some problems into one that is sound and efficient. The third part is the payoff: a single chapter containing a list of heuristics and "smells" gathered while creating the case studies. The result is a knowledge base that describes the way we think when we write, read, and clean code. Readers will come away from this book understanding * How to tell the difference between good and bad code * How to write good code and how to transform bad code into good code * How to create good names, good functions, good objects, and good classes * How to format code for maximum readability * How to implement complete error handling without obscuring code logic * How to unit test and practice test-driven developmentThis book is a must for any developer, software engineer, project manager, team
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Produkt-Bild: Life 3.0: Being Human in the Age of Artificial Intelligence

Life 3.0: Being Human in the Age of Artificial Intelligence

Hörbuch-Download von Random House Audio
Preis bei Amazon: EUR 31,46

Produktgruppe Internationale Bücher
Zoom ± Produkt-Bild: Life 3.0: Being Human in the Age of Artificial Intelligence

Produktbeschreibung

How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.

How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today's kids? How can we make future AI systems more robust so that they do what we want without crashing, malfunctioning, or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle?

What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn't shy away from the full range of viewpoints or from the most controversial issues - from superintelligence to meaning, consciousness, and the ultimate physical limits on life in the cosmos.

© 1998-2017 Amazon Inc. und Tochtergesellschaften

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Produkt-Bild: Deep Learning (Adaptive Computation and Machine Learning)

Deep Learning (Adaptive Computation and Machine Learning) von Ian Goodfellow, Yoshua Bengio, Aaron Courville

Gebundene Ausgabe von Mit Press
Preis bei Amazon: EUR 44,99

ISBN-10: 0262035618
ISBN-13: 978-0262035613
Erscheinungsdatum: November 2016
Produktgruppe Bücher
Zoom ± Produkt-Bild: Deep Learning (Adaptive Computation and Machine Learning)

Produktbeschreibung

Gebundenes Buch

© 1998-2017 Amazon Inc. und Tochtergesellschaften

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Produkt-Bild: Python: For Beginners: A Crash Course Guide To Learn Python in 1 Week (coding, programming, web-programming, programmer) (English Edition)

Python: For Beginners: A Crash Course Guide To Learn Python in 1 Week (coding, programming, web-programming, programmer) (English Edition) von Timothy C. Needham

Python Language (Einleitung)
Kindle Edition

Erscheinungsdatum: Sept. 2017
Produktgruppe Kindle eBooks & ePaper
Zoom ± Produkt-Bild: Python: For Beginners: A Crash Course Guide To Learn Python in 1 Week (coding, programming, web-programming, programmer) (English Edition)

Kurzbeschreibung

Become a Python Programming Expert With Ease!



Python is a simple yet powerful programming language that can enable you to start thinking like a programmer right from the beginning. It is very readable and the stress many beginners face about memorizing arcane syntax typically presented by other programming languages will not affect you at all. Conversely, you will be able to concentrate on learning concepts and paradigms of programming.

This book shall introduce you to an easy way to learn Python in just 7 days and in this time, be able to complete your own projects! By reading the book and implementing what you learn herein, you will realize just why major institutions like NASA, Google, Mozilla, Yahoo, Dropbox, IBM, Facebook and many others prefer to use python in their core products, services and business processes. Let?s begin.


Here what you'll learn after downloading this Python for Beginners book:


?Introduction
?Chapter 1: Python: A Comprehensive Background
?Chapter 2: How to Download and Install Python
?Chapter 3: Python Glossary
?Chapter 4: Interacting with Python
?Chapter 5: Using Turtle for a Simple Drawing
?Chapter 6: Variables
?Chapter 7: Loops
?Chapter 8: Native Python Datatypes
?Chapter 9: Python Dictionaries
?Chapter 10: Boolean Logic and Conditional Statements
?Chapter 11: Constructing ?While? Loops In Python
Chapter 12: Constructing ?For Loops? In Python Programming
?Chapter 13: Constructing Classes and Defining Objects


This Book Is Perfect For:


?- Total beginners with zero programming experience
?- Returning professionals who haven?t written code in years
?- Seasoned professionals looking for a fast, simple, crash course in Python


Download your copy today!

© 1998-2017 Amazon Inc. und Tochtergesellschaften

Produkt-Bild: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems von Martin Kleppmann

Taschenbuch von O'Reilly UK Ltd.
Preis bei Amazon: EUR 35,99; Angebote ab EUR 27,23

ISBN-10: 1449373321
ISBN-13: 978-1449373320
Erscheinungsdatum: März 2017, Auflage: Revised
Produktgruppe Bücher
Produkt-Bild: Ethereum: Blockchains, Digital Assets, Smart Contracts, Decentralized Autonomous Organizations

Ethereum: Blockchains, Digital Assets, Smart Contracts, Decentralized Autonomous Organizations von Henning Diedrich

Taschenbuch von CreateSpace Independent Publishing Platform
Preis bei Amazon: EUR 20,33

ISBN-10: 1523930470
ISBN-13: 978-1523930470
Erscheinungsdatum: Sept. 2016, Auflage: 1
Produktgruppe Bücher
Produkt-Bild: Building Evolutionary Architectures: Support Constant Change

Building Evolutionary Architectures: Support Constant Change von Neal Ford, Rebecca Parsons, Patrick Kua

Taschenbuch von O'Reilly UK Ltd.
Preis bei Amazon: EUR 35,81

ISBN-10: 1491986360
ISBN-13: 978-1491986363
Erscheinungsdatum: Sept. 2017
Produktgruppe Bücher
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Produkt-Bild: Make Your Own Neural Network (English Edition)

Make Your Own Neural Network (English Edition) von Tariq Rashid

Kindle Edition

Erscheinungsdatum: April 2016, Auflage: 1.0
Produktgruppe Kindle eBooks & ePaper
Zoom ± Produkt-Bild: Make Your Own Neural Network (English Edition)

Kurzbeschreibung

A step-by-step gentle journey through the mathematics of neural networks, and making your own using the Python computer language.

Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work.

This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included.

The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already!

You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks.

Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples.

Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals.

Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi.

All the code in this has been tested to work on a Raspberry Pi Zero.

© 1998-2017 Amazon Inc. und Tochtergesellschaften

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