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Biostatistics with R: An Introduction to Statistics Through Biological Data (Use R!)

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Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation.  The book explains basic statistical concepts with a simple yet rigorous language. 
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API Development: A Practical Guide for Business Implementation Success
API Development: A Practical Guide for Business Implementation Success

Implement application programming interface (API) usability, security, availability, reliability, and scalability to extend your company’s market and potentially generate revenue. Businesses know they need to extend their markets into the digital world, and expose internal data to the Internet. This book shows how stakeholders...

Bad Programming Practices 101: Become a Better Coder by Learning How (Not) to Program
Bad Programming Practices 101: Become a Better Coder by Learning How (Not) to Program
This book takes a humorous slant on the programming practice manual by reversing the usual approach: under the pretence of teaching you how to become the world’s worst programmer who generally causes chaos, the book teaches you how to avoid the kind of bad habits that introduce bugs or cause code contributions to be rejected....
Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Build and deploy powerful neural network models using the latest Java deep learning libraries

Key Features

  • Understand DL with Java by implementing real-world projects
  • Master implementations of various ANN models and build your own DL systems
  • Develop...

Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.

You’ll start by covering the mathematical...
Hands-On Java Deep Learning for Computer Vision: Implement machine learning and neural network methodologies to perform computer vision-related tasks
Hands-On Java Deep Learning for Computer Vision: Implement machine learning and neural network methodologies to perform computer vision-related tasks

Leverage the power of Java and deep learning to build production-grade Computer Vision applications

Key Features

  • Build real-world Computer Vision applications using the power of neural networks
  • Implement image classification, object detection, and face recognition
  • ...
MicroStrategy Quick Start Guide: Data analytics and visualizations for Business Intelligence
MicroStrategy Quick Start Guide: Data analytics and visualizations for Business Intelligence

Build reporting applications and dashboards using the different MicroStrategy objects

Key Features

  • Learn the fundamentals of MicroStrategy
  • Use MicroStrategy to get actionable insights from your business data
  • Create visualizations and build intuitive...
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