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

by Anthony S. Williams

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


D

370 pages, Kindle Edition

Published August 9, 2017