Szczegóły ebooka

Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science

Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science

Richard M. Reese, Jennifer L. Reese

Ebook
para 1: Get the lowdown on Java and explore big data analytics with Java for Data Science. Packed with examples and data science principles, this book uncovers the techniques & Java tools supporting data science and machine learning. Para 2: The stability and power of Java combines with key data science concepts for effective exploration of data. By working with Java APIs and techniques, this data science book allows you to build applications and use analysis techniques centred on machine learning. Para 3: Java for Data Science gives you the understanding you need to examine the techniques and Java tools supporting big data analytics. These Java-based approaches allow you to tackle data mining and statistical analysis in detail. Deep learning and Java data mining are also featured, so you can explore and analyse data effectively, and build intelligent applications using machine learning. para 4: What?s Inside ? Understand data science principles with Java support ? Discover machine learning and deep learning essentials ? Explore data science problems with Java-based solutions
  • 1. Getting started with Data Science
  • 2. Data Acquisition
  • 3. Data Cleaning
  • 4. Data Visualization
  • 5. Statistical Data Analysis Techniques
  • 6. Machine Learning
  • 7. Neural Networks
  • 8. Deep Learning
  • 9. Text Analysis
  • 10. Visual and Audio Analysis
  • 11. Parallel Techniques for Data Analysis
  • 12. Bringing It All Together
  • Tytuł: Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science
  • Autor: Richard M. Reese, Jennifer L. Reese
  • Tytuł oryginału: Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science
  • ISBN: 9781785281242, 9781785281242
  • Data wydania: 2017-01-10
  • Format: Ebook
  • Identyfikator pozycji: e_15v2
  • Wydawca: Packt Publishing