Data Analytics: 7 Manuscripts - Data Analytics Beginners, Deep Learning Keras, Analyzing Data Power Bi, Reinforcement Learning, Artifi

Anthony Williams

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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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