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Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python...

Block Trace Analysis and Storage System Optimization: A Practical Approach with MATLAB/Python Tools
Block Trace Analysis and Storage System Optimization: A Practical Approach with MATLAB/Python Tools
Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the...
Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

Get command of your organizational Big Data using the power of data science and analytics

Key Features

  • A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions
  • Work with the best tools such as Apache...
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

  • Build a variety of Hidden Markov Models (HMM)
  • Create and apply models to any sequence of data to analyze, predict, and extract valuable...
Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale
Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale

Build effective regression models in R to extract valuable insights from real data

Key Features

  • Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values
  • From Simple Linear Regression...
Serverless Web Applications with React and Firebase: Develop real-time applications for web and mobile platforms
Serverless Web Applications with React and Firebase: Develop real-time applications for web and mobile platforms

Build rich and collaborative applications using client-side code with React, Redux, and Firebase

Key Features

  • A practical guide covering the full stack for web development with React 16 and Firebase
  • Leverage the power of Firebase Cloud Storage, messaging, functions, OAuth,...
Pro JPA 2 in Java EE 8: An In-Depth Guide to Java Persistence APIs
Pro JPA 2 in Java EE 8: An In-Depth Guide to Java Persistence APIs
Learn to use the Java Persistence API (JPA) and other related APIs as found in the Java EE 8 platform from the perspective of one of the specification creators. A one-of-a-kind resource, this in-depth book provides both theoretical and practical coverage of JPA usage for experienced Java developers.

Authors Mike
...
Pro .NET Memory Management: For Better Code, Performance, and Scalability
Pro .NET Memory Management: For Better Code, Performance, and Scalability
Understand .NET memory management internal workings, pitfalls, and techniques in order to effectively avoid a wide range of performance and scalability problems in your software. Despite automatic memory management in .NET, there are many advantages to be found in understanding how .NET memory works and how you can best write...
Learn JavaScript with p5.js: Coding for Visual Learners
Learn JavaScript with p5.js: Coding for Visual Learners
Learn coding from scratch in a highly engaging and visual manner using the vastly popular JavaScript with the programming library p5.js. The skills you will acquire from this book are highly transferable to a myriad of industries and can be used towards building web applications, programmable robots, or generative art. 
...
Practical JSF in Java EE 8
Practical JSF in Java EE 8

Master the Java EE 8 and JSF (JavaServer Faces) APIs and web framework with this practical, projects-driven guide to web development. This book combines theoretical background with a practical approach by building four real-world applications. By developing these JSF web applications, you'll take a tour through the other...

Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.  

This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited
...
Programming PIC Microcontrollers with XC8
Programming PIC Microcontrollers with XC8
Learn how to use microcontrollers without all the frills and math. This book uses a practical approach to show you how to develop embedded systems with 8 bit PIC microcontrollers using the XC8 compiler. It's your complete guide to understanding modern PIC microcontrollers.

Are you tired of...
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