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Deep Learning with Python: A Hands-on Introduction
Deep Learning with Python: A Hands-on Introduction
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often...
Advanced Analytics with Spark: Patterns for Learning from Data at Scale
Advanced Analytics with Spark: Patterns for Learning from Data at Scale

In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example.

You’ll start with an...

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

Optimized C++: Proven Techniques for Heightened Performance
Optimized C++: Proven Techniques for Heightened Performance

In today’s fast and competitive world, a program’s performance is just as important to customers as the features it provides. This practical guide teaches developers performance-tuning principles that enable optimization in C++. You’ll learn how to make code that already embodies best practices of C++ design run...

Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on...
Beginning Programming with Python For Dummies (For Dummies Series)
Beginning Programming with Python For Dummies (For Dummies Series)

Learn Python—the fun and easy way—and get in the programming game today!

Python is one of the fastest growing programming languages, and no wonder. It requires three to five times less time than developing in Java, is a great building block for learning both procedural and object-oriented programming concepts,...

Engineering Innovative Products: A Practical Experience
Engineering Innovative Products: A Practical Experience

"The book provides vital insights into commercial development for engineering students in a highly practical and applied manner. Over the past 3 years, application of the book’s material has allowed the students to develop their commercial literacy and ambition in the University."
Steve Orr, Director,
...

HTML5 and CSS3: Level Up with Today's Web Technologies
HTML5 and CSS3: Level Up with Today's Web Technologies

HTML5 and CSS3 are more than just buzzwords--they're the foundation for today's web applications. This book gets you up to speed on the HTML5 elements and CSS3 features you can use right now in your current projects, with backwards compatible solutions that ensure that you don't leave users of older browsers behind. This new...

Practical Data Science with R
Practical Data Science with R

Summary

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language...

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.

...
Agile Application Security: Enabling Security in a Continuous Delivery Pipeline
Agile Application Security: Enabling Security in a Continuous Delivery Pipeline

Agile continues to be the most adopted software development methodology among organizations worldwide, but it generally hasn't integrated well with traditional security management techniques. And most security professionals aren’t up to speed in their understanding and experience of agile development. To help bridge the...

Splunk Operational Intelligence Cookbook
Splunk Operational Intelligence Cookbook

Over 70 practical recipes to gain operational data intelligence with Splunk Enterprise

About This Book

  • Learn how to use Splunk to effectively gather, analyze, and report on the operational data across your environment
  • Expedite your operational intelligence reporting, be empowered to...
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