Big Data: 4 Manuscripts - Data Analytics for Beginners, Deep Learning with Keras, Analyzing Data with Power BI, Convolutional Neural Networks in Python

Anthony Williams

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Big Data - 4 book BUNDLE!!

Book 1: Data Analytics for Beginners

In this book you will learn:

  • Putting Data Analytics to Work
  • The Rise of Data Analytics
  • Big Data Defined
  • Cluster Analysis
  • Applications of Cluster Analysis
  • Commonly Graphed Information
  • Data Visualization
  • Four Important Features of Data Visualization Software
  • Big Data Impact Envisaged by 2020
  • Pros and Cons of Big Data Analytics
  • And of course much more!

Book 2: Deep Learning with Keras

In this book you will learn:

  • Deep Neural Network
  • Neural Network Elements
  • Keras Models
  • Sequential Model
  • Functional API Model
  • Keras Layers
  • Core Keras Layers
  • Convolutional Keras Layers
  • Recurrent Keras Layers
  • Deep Learning Algorithms
  • Supervised Learning Algorithms
  • Applications of Deep Learning Models
  • Automatic Speech and Image Recognition
  • Natural Language Processing
  • Video Game Development
  • Real World Applications
  • And of course much more!

Book 3: Analyzing Data with Power BI

In this book you will learn:

  • Basics of data analysis processes
  • Fundamental data analysis algorithms
  • Basic of data and text mining, data visualization and business intelligence
  • Techniques used for analysing quantitative data
  • Basic data analysis tasks
  • Conceptual, logical and physical data models
  • Power BI service and data modelling
  • Creating reports and visualizations in Power BI
  • Data transformation and data cleaning in Power BI
  • Real world applications of data analysis

Book 4: Convolutional Neural Networks in Python

In this book you will learn:

  • Architecture of convolutional neural networks
  • Solving computer vision tasks using convolutional neural networks
  • Python and computer vision
  • Automatic image and speech recognition
  • Theano and TenroeFlow image recognition
  • How to use MNIST vision dataset
  • What are commonly used convolutional filters

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