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!