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Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark
Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies.

Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book...

Learn to Program with Python 3: A Step-by-Step Guide to Programming
Learn to Program with Python 3: A Step-by-Step Guide to Programming

Move from zero knowledge of programming to comfortably writing small to medium-sized programs in Python. Fully updated for Python 3, with code and examples throughout, the book explains Python coding with an accessible, step-by-step approach designed to bring you comfortably into the world of software development.

...
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Key Features

  • Implement machine learning algorithms to build, train, and validate algorithmic models
  • Create your own algorithmic design process to apply...
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

  • Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras
  • Build, deploy, and scale end-to-end deep neural network models in a production...
Database Benchmarking and Stress Testing: An Evidence-Based Approach to Decisions on Architecture and Technology
Database Benchmarking and Stress Testing: An Evidence-Based Approach to Decisions on Architecture and Technology
Provide evidence-based answers that can be measured and relied upon by your business. Database administrators will be able to make sound architectural decisions in a fast-changing landscape of virtualized servers and container-based solutions based on the empirical method presented in this book for answering “what if”...
Practical Android: 14 Complete Projects on Advanced Techniques and Approaches
Practical Android: 14 Complete Projects on Advanced Techniques and Approaches
Choose the best approach for your app and implement your solution quickly by leveraging complete projects. This book is a collection of practical projects that use advanced Android techniques and approaches, written by Android instructor Mark Wickham. Mark has taught a series of popular classes at Android development conferences...
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Bash Cookbook: Leverage Bash scripting to automate daily tasks and improve productivity
Bash Cookbook: Leverage Bash scripting to automate daily tasks and improve productivity

Create simple to advanced shell scripts and enhance your system functionality with effective recipes

Key Features

  • Automate tedious and repetitive tasks
  • Create several novel applications ranging from a simple IRC logger to a Web Scraper
  • Manage your system...
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Build a strong foundation of machine learning algorithms in 7 days

Key Features

  • Use Python and its wide array of machine learning libraries to build predictive models
  • Learn the basics of the 7 most widely used machine learning algorithms within a week
  • Know...
Mastering Python Scripting for System Administrators: Write scripts and automate them for real-world administration tasks using Python
Mastering Python Scripting for System Administrators: Write scripts and automate them for real-world administration tasks using Python

Leverage the features and libraries of Python to administrate your environment efficiently.

Key Features

  • Learn how to solve problems of system administrators and automate routine activities
  • Learn to handle regular expressions, network administration
  • ...
Hands-On Ensemble Learning with R: A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
Hands-On Ensemble Learning with R: A beginner's guide to combining the power of machine learning algorithms using ensemble techniques

Explore powerful R packages to create predictive models using ensemble methods

Key Features

  • Implement machine learning algorithms to build ensemble-efficient models
  • Explore powerful R packages to create predictive models using ensemble methods
  • Learn to...
Git Version Control Cookbook: Leverage version control to transform your development workflow and boost productivity, 2nd Edition
Git Version Control Cookbook: Leverage version control to transform your development workflow and boost productivity, 2nd Edition

A series of practical recipes to simplify the Git learning experience and increase your productivity when using Git version control

Key Features

  • Explore practical recipes to use Git's most advanced features
  • Learn how Git references its objects and how history is...
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