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

Graphics in this book are printed in black and white.Through 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 use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.
  • Explore the machine learning landscape, particularly neural nets
  • Use scikit-learn to track an example machine-learning project end-to-end
  • Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
  • Use the TensorFlow library to build and train neural nets
  • Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
  • Learn techniques for training and scaling deep neural nets
  • Apply practical code examples without acquiring excessive machine learning theory or algorithm details
Published by: O'Reilly Media | Publication date: 03/13/2017
Kindle book details: Kindle Edition, 570 pages

The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change

Managing people is difficult wherever you work. But in the tech industry, where management is also a technical discipline, the learning curve can be brutal—especially when there are few tools, texts, and frameworks to help you. In this practical guide, author Camille Fournier (tech lead turned CTO) takes you through each stage in the journey from engineer to technical manager.From mentoring interns to working with senior staff, you’ll get actionable advice for approaching various obstacles in your path. This book is ideal whether you’re a new manager, a mentor, or a more experienced leader looking for fresh advice. Pick up this book and learn how to become a better manager and leader in your organization.
  • Begin by exploring what you expect from a manager
  • Understand what it takes to be a good mentor, and a good tech lead
  • Learn how to manage individual members while remaining focused on the entire team
  • Understand how to manage yourself and avoid common pitfalls that challenge many leaders
  • Manage multiple teams and learn how to manage managers
  • Learn how to build and bootstrap a unifying culture in teams
Published by: O'Reilly Media | Publication date: 03/13/2017
Kindle book details: Kindle Edition, 244 pages

Concurrency in Go: Tools and Techniques for Developers

Concurrency can be notoriously difficult to get right, but fortunately, the Go open source programming language makes working with concurrency tractable and even easy. If you’re a developer familiar with Go, this practical book demonstrates best practices and patterns to help you incorporate concurrency into your systems.Author Katherine Cox-Buday takes you step-by-step through the process. You’ll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems. Learn the skills and tooling you need to confidently write and implement concurrent systems of any size.
  • Understand how Go addresses fundamental problems that make concurrency difficult to do correctly
  • Learn the key differences between concurrency and parallelism
  • Dig into the syntax of Go’s memory synchronization primitives
  • Form patterns with these primitives to write maintainable concurrent code
  • Compose patterns into a series of practices that enable you to write large, distributed systems that scale
  • Learn the sophistication behind goroutines and how Go’s runtime stitches everything together
Published by: O'Reilly Media | Publication date: 07/19/2017
Kindle book details: Kindle Edition, 200 pages

Learning Python: Powerful Object-Oriented Programming

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages.Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code.
  • Explore Python’s major built-in object types such as numbers, lists, and dictionaries
  • Create and process objects with Python statements, and learn Python’s general syntax model
  • Use functions to avoid code redundancy and package code for reuse
  • Organize statements, functions, and other tools into larger components with modules
  • Dive into classes: Python’s object-oriented programming tool for structuring code
  • Write large programs with Python’s exception-handling model and development tools
  • Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
Author: Mark Lutz
Published by: O'Reilly Media | Publication date: 06/12/2013
Kindle book details: Kindle Edition, 1650 pages

Ansible: Up and Running: Automating Configuration Management and Deployment the Easy Way

Among the many configuration management tools available, Ansible has some distinct advantages—it’s minimal in nature, you don’t need to install anything on your nodes, and it has an easy learning curve. With this updated second edition, you’ll learn how to be productive with this tool quickly, whether you’re a developer deploying code to production or a system administrator looking for a better automation solution.Authors Lorin Hochstein and René Moser show you how to write playbooks (Ansible’s configuration management scripts), manage remote servers, and explore the tool’s real power: built-in declarative modules. You’ll discover that Ansible has the functionality you need—and the simplicity you desire.
  • Manage Windows machines, and automate network device configuration
  • Manage your fleet from your web browser with Ansible Tower
  • Understand how Ansible differs from other configuration management systems
  • Use the YAML file format to write your own playbooks
  • Work with a complete example to deploy a non-trivial application
  • Deploy applications to Amazon EC2 and other cloud platforms
  • Create Docker images and deploy Docker containers with Ansible
This book is best read start to finish, with later chapters building on earlier ones. Because it’s written in a tutorial style, you can follow along on your own machine. Most examples focus on web applications.
Published by: O'Reilly Media | Publication date: 07/20/2017
Kindle book details: Kindle Edition, 350 pages

Einführung in Machine Learning mit Python: Praxiswissen Data Science (Animals) (German Edition)

Machine Learning ist zu einem wichtigen Bestandteil vieler kommerzieller Anwendungen und Forschungsprojekte geworden, von der medizinischen Diagnostik bis hin zur Suche nach Freunden in sozialen Netzwerken. Um Machine-Learning-Anwendungen zu entwickeln, braucht es keine großen Expertenteams: Wenn Sie Python-Grundkenntnisse mitbringen, zeigt Ihnen dieses Praxisbuch, wie Sie Ihre eigenen Machine-Learning-Lösungen erstellen.Mit Python und der scikit-learn-Bibliothek erarbeiten Sie sich alle Schritte, die für eine erfolgreiche Machine-Learning-Anwendung notwendig sind. Die Autoren Andreas Müller und Sarah Guido konzentrieren sich bei der Verwendung von Machine-Learning-Algorithmen auf die praktischen Aspekte statt auf die Mathematik dahinter. Wenn Sie zusätzlich mit den Bibliotheken NumPy und matplotlib vertraut sind, hilft Ihnen dies, noch mehr aus diesem Tutorial herauszuholen.Das Buch zeigt Ihnen:- grundlegende Konzepte und Anwendungen von Machine Learning- Vor- und Nachteile weit verbreiteter maschineller Lernalgorithmen- wie sich die von Machine Learning verarbeiteten Daten repräsentieren lassen und auf welche Aspekte der Daten Sie sich konzentrieren sollten- fortgeschrittene Methoden zur Auswertung von Modellen und zum Optimieren von Parametern- das Konzept von Pipelines, mit denen Modelle verkettet und Arbeitsabläufe gekapselt werden- Arbeitsmethoden für Textdaten, insbesondere textspezifische Verarbeitungstechniken- Möglichkeiten zur Verbesserung Ihrer Fähigkeiten in den Bereichen Machine Learning und Data ScienceDieses Buch ist eine fantastische, super praktische Informationsquelle für jeden, der mit Machine Learning in Python starten möchte – ich wünschte nur, es hätte schon existiert, als ich mit scikit-learn anfing!Hanna Wallach, Senior Researcher, Microsoft Research
Published by: O'Reilly | Publication date: 07/21/2017
Kindle book details: Kindle Edition, 378 pages

YouTube-Marketing: Erfolgreich mit Online-Videos (Querformater) (German Edition)

YouTube-Videos sind fester Bestandteil der Marketing-Strategie vieler großer Unternehmen, aber auch das Marketing kleiner und mittelständischer Firmen entdeckt zunehmend das Potenzial dieses Formats. Denn YouTube bietet eine ideale Plattform für zeitgemäßes Branding – Unternehmen können hier erlebbar werden.Dieses Buch zeigt Ihnen, wie Sie YouTube im Marketing-Mix Ihres Unternehmens platzieren und eine überzeugende Bewegtbildstrategie umsetzen. Mit präzisen Erklärungen und zahlreichen Infografiken wird anschaulich vermittelt, wie Sie Ihr Unternehmen auf YouTube zielgruppengerecht präsentieren und mit Ihren Videos maximale Aufmerksamkeit erzielen. Praktische Anleitungen und Tipps ergeben einen Werkzeugkasten, mit dem Sie direkt in die Arbeit einsteigen können.Aus dem Inhalt:- Ihr YouTube-Erfolgsplan – Konzept, Marketingziele, Zielgruppen- Der Channel – Funktionen, Gestaltung, Kanaltrailer, Google-Dienste- Content-Strategie – Storytelling, emotionale Themen, Kampagnen- Videoproduktion – Kosten, Storyboard, Drehtag, Postproduktion- Erfolgsmessung – Auffindbarkeit, Ranking, YouTube Analytics- Community-Management – Zuschauerbindung, Kommentare- YouTube und Recht – Impressum, Urheberrecht, Product Placement- Ausblick – YouTube Red, Mobile Livestreams, 360°-und VR-Videos
Published by: O'Reilly | Publication date: 07/21/2017
Kindle book details: Kindle Edition, 336 pages

Wearables mit Arduino und Raspberry Pi: Intelligente Kleidung selbst designen – Hip mit Smart Fashion (German Edition)

Wearables ziehen bei Bühnenshows und Events die Blicke auf sich. Mit einfachen Techniken kann jeder Leuchtdioden, Mikrocontroller und weitere Bauteile mit Bekleidungsstücken und Accessoires kombinieren, um diesen das gewisse Etwas zu verleihen. Für die Umsetzung ist kein umfangreiches Elektronikwissen erforderlich: Dieses Buch vermittelt mit schrittweisen Anleitungen die nötigen Grundkenntnisse. Den Ideen für eigene Projekte sind dabei keine Grenzen gesetzt. Das Buch eignet sich für den Hobbyschneider wie auch für Designer oder Techniker, egal ob Einsteiger oder bereits Fortgeschrittene.Die Autoren fassen zusammen, welche unterschiedlichen Wearables bereits entwickelt wurden und was auf dem Markt derzeit erhältlich ist. Außerdem stellen sie bekannte Gesichter der Wearables-Szene vor und präsentieren deren Kreationen.Leicht zu verwirklichende Einsteigerprojekte vermitteln die wichtigsten Wearables-Kenntnisse vom Schließen eines Stromkreises bis hin zum Nähen mit leitfähigem Garn. Zudem wird das zugehörige Material wie elektrisch leitendes Klettband, textile Schalter und Stecker erklärt. Der Leser lernt den Einsatz von speziell für Wearables entworfenen Arduino-Mikrocontrollern, ohne Programmierkenntnisse mitbringen zu müssen.Die komplexer gestalteten Projekte zeigen noch funktionalere Bekleidungsstücke: Mithilfe eines eingebauten LilyPad-Mikrocontrollers verwandelt sich ein Schal in einen MP3-Player. Über Wi-Fi-Module lassen sich E-Fashion-Teile mit dem Internet verbinden. Eine Anleitung für eine Krawatte mit integriertem Raspberry Pi eröffnet neue Möglichkeiten für die Gestaltung zukünftiger Wearables.
Published by: O'Reilly | Publication date: 07/20/2017
Kindle book details: Kindle Edition, 252 pages

Practical Statistics for Data Scientists: 50 Essential Concepts

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you’ll learn:
  • Why exploratory data analysis is a key preliminary step in data science
  • How random sampling can reduce bias and yield a higher quality dataset, even with big data
  • How the principles of experimental design yield definitive answers to questions
  • How to use regression to estimate outcomes and detect anomalies
  • Key classification techniques for predicting which categories a record belongs to
  • Statistical machine learning methods that “learn” from data
  • Unsupervised learning methods for extracting meaning from unlabeled data
Published by: O'Reilly Media | Publication date: 05/10/2017
Kindle book details: Kindle Edition, 318 pages

Zero Trust Networks: Building Secure Systems in Untrusted Networks

The perimeter defenses guarding your network perhaps are not as secure as you think. Hosts behind the firewall have no defenses of their own, so when a host in the "trusted" zone is breached, access to your data center is not far behind. That’s an all-too-familiar scenario today. With this practical book, you’ll learn the principles behind zero trust architecture, along with details necessary to implement it.The Zero Trust Model treats all hosts as if they’re internet-facing, and considers the entire network to be compromised and hostile. By taking this approach, you’ll focus on building strong authentication, authorization, and encryption throughout, while providing compartmentalized access and better operational agility.
  • Understand how perimeter-based defenses have evolved to become the broken model we use today
  • Explore two case studies of zero trust in production networks on the client side (Google) and on the server side (PagerDuty)
  • Get example configuration for open source tools that you can use to build a zero trust network
  • Learn how to migrate from a perimeter-based network to a zero trust network in production
Published by: O'Reilly Media | Publication date: 06/19/2017
Kindle book details: Kindle Edition, 240 pages
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