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Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science
Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science

Get unique insights from your data by combining the power of SQL Server, R and Python

Key Features

  • Use the features of SQL Server 2017 to implement the data science project life cycle
  • Leverage the power of R and Python to design and develop efficient data models
  • ...
Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications
Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications

Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda

Key Features

  • Use Anaconda to find solutions for clustering, classification, and linear regression
  • Analyze your data efficiently with the most powerful data...
Blender Quick Start Guide: 3D Modeling, Animation, and Render with Eevee in Blender 2.8
Blender Quick Start Guide: 3D Modeling, Animation, and Render with Eevee in Blender 2.8

Explore the new Blender 2.8 user interface and get up to speed with creating 3D models

Key Features

  • Discover Blender 2.8’s new user interface and tools
  • Create materials, apply textures and render scenes
  • Use the new cutting-edge real-time render Eevee...
Microsoft Power BI Quick Start Guide: Build dashboards and visualizations to make your data come to life
Microsoft Power BI Quick Start Guide: Build dashboards and visualizations to make your data come to life

Get actionable insights from your data using the data visualization capabilities of Microsoft Power BI

Key Features

  • Get to grips with the fundamentals of Microsoft Power BI and its business intelligence capabilities
  • Build accurate analytical models, reports, and...
Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data
Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data

Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3

Key Features

  • Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud
  • Integrate Hadoop with other big data tools such as R, Python, Apache...
Java for Data Science
Java for Data Science
Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine learning Who This Book Is...
Java Data Science Cookbook
Java Data Science Cookbook

Key Features

  • This book provides modern recipes in small steps to help an apprentice cook become a master chef in data science
  • Use these recipes to obtain, clean, analyze, and learn from your data
  • Learn how to get your data science applications to production and enterprise...
Scientific Computing with Python 3
Scientific Computing with Python 3

Key Features

  • Your ultimate resource for getting up and running with Python numerical computations
  • Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
  • A hands-on guide to implementing mathematics with Python, with complete...
Mastering IPython 4.0
Mastering IPython 4.0

Key Features

  • Most updated book on Interactive computing with IPython 4.0;
  • Detailed, example-rich guide that lets you use the most advanced level interactive programming with IPython;
  • Get flexible interactive programming with IPython using this comprehensive guide
...
Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)
Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)
This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges...
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust
Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust

Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.

Key Features

  • Think deeply as a developer about your strategy and toolset in data science
  • Discover the best tools that...
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