Showing results for "chris mattmann"
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2020
EN
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library.SummaryUpdated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data ...
2011
EN
SummaryTika in Action is a hands-on guide to content mining with Apache Tika. The book's many examples and case studies offer real-world experience from domains ranging from search engines to digital asset management and scientific data processing.About the TechnologyTika is an Apache toolkit that has built into it everything you and your app need to know about file formats. Using Tika, your applications can discover and extr...
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Introduction to Machine Learning with Python
A Guide for Data Scientists
2016
EN
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You’ll learn the steps necessary to create a successful machine-learning appl...
Architecture Patterns with Python
Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices
2020
EN
As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward.With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural des...
Deep Learning Fundamentals in Python
Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow
2016
EN
Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game.Experts in the field of Artificial Intelligence thought we were 10 years away from achieving a victory against a top professional Go player, but progress seems to have accelerated!While deep learning is a complex subject, it is not any more difficult to learn than any other machine learning...
Cloud Native Java
Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry
2017
EN
What separates the traditional enterprise from the likes of Amazon, Netflix, and Etsy? Those companies have refined the art of cloud native development to maintain their competitive edge and stay well ahead of the competition. This practical guide shows Java/JVM developers how to build better software, faster, using Spring Boot, Spring Cloud, and Cloud Foundry.Many organizations have already waded into cloud computing, test-driven development, microservices, and continuous integrat...
Python Machine Learning
Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial
2015
EN
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust statistical models, built for a range of datasets...
- Series -
- Beginner's Guide
2011
EN
Security Smarts for the Self-Guided IT Professional“Get to know the hackers—or plan on getting hacked. Sullivan and Liu have created a savvy, essentials-based approach to web app security packed with immediately applicable tools for any information security practitioner sharpening his or her tools or just starting out.”—Ryan McGeehan, Security Manager, Facebook, Inc.Secure web applications from today's most devious hackers. Web Application Security: A Beginner's Guide...
Artificial Intelligence with Python
A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers
2017
EN
Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries. A new edition completely updated and revised for 2020 with seven additional chapters that cover RNNs, AI and big data, fundamental use cases, chatbots, and more, is now available. Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you. Key FeaturesStep int...
Building Microservices with ASP.NET Core
Develop, Test, and Deploy Cross-Platform Services in the Cloud
2017
EN
At a time when nearly every vertical, regardless of domain, seems to need software running in the cloud to make money, microservices provide the agility and drastically reduced time to market you require. This hands-on guide shows you how to create, test, compile, and deploy microservices, using the ASP.NET Core free and open-source framework. Along the way, you’ll pick up good, practical habits for building powerful and robust services.Building microservices isn’t about learning a...
The Art of R Programming
A Tour of Statistical Software Design
2011
EN
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anon...
Learn More Python 3 the Hard Way
The Next Step for New Python Programmers
- by
- Zed Shaw
- Series -
- Zed Shaw's Hard Way Series
2017
EN
Transform Your Ideas into High-Quality Python Code!Zed Shaw has perfected the world’s best system for becoming a truly effective Python 3.x developer. Follow it and you will succeed—just like the tens of millions of programmers he’s already taught. You bring the discipline, commitment, and persistence; the author supplies everything else.In Learn Python 3 the Hard Way, Zed Shaw taught you the basics of Programming with Python 3. Now, in











