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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