Data Analytics - 7 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
• 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
• 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
• And of course much more!

Book 4: Reinforcement Learning with Python

In this book you will learn:

• Types of fundamental machine learning algorithms in comparison to reinforcement learning
• Essentials of reinforcement learning process
• Marko decision processes and basic parameters
• How to integrate reinforcement learning algorithm using OpenAI Gym
• How to integrate Monte Carlo methods for prediction
• Monte Carlo tree search
• And much, much more...

Book 5: Artificial Intelligence Python

In this book you will learn:

• Different artificial intelligence approaches and goals
• How to define AI system
• Basic AI techniques
• Reinforcement learning
• And much, much more...

Book 6: Text Analytics with Python

In this book you will learn:

• Text analytics process
• How to build a corpus and analyze sentiment
• Named entity extraction with Groningen meaning bank corpus
• How to train your system
• Getting started with NLTK
• How to search syntax and tokenize sentences
• Automatic text summarization
• Stemming word and topic modeling with NLTK
• And much, much more...

Book 7: 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
• And of course much more!

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