Artificial Intelligence, IOT and machine Learning _ AI programs using Python A Beginners book_Donepudi, Praveen [Donepudi, Praveen].pdf

Artificial Intelligence, IOT and machine Learning AI programs using Python A Beginners book Praveen K Donepudi Table of Contents Preface: About the author: Chapter 1 Introduction to the Digital World 1.1. Common smart applications in use today: 1.2. Components of a digital system: Chapter 2 A gentle introduction to Artificial Intelligence and its applications in the Digital world 2.1. What is Artificial intelligence: 2.1.1. Example (Image classification): 2.1.2. Another Example (Google Maps): 2.2. Types of Artificial intelligence (AI): 2.2.1. Strong AI: 2.2.2. Weak AI: Chapter 3 Machine learning and its examples in technologies found today 3.1. What is Machine learning: 3.2. Types of machine learning: 3.2.1. Supervised learning: 3.2.2. Regression: 3.3. Unsupervised learning: 3.3.1. Recommendation systems: 3.3.2. Anomaly detection: 3.4. Reinforcement learning: Chapter 4 Deep neural networks and its applications in the real world 4.1. What is Deep learning: 4.2. What are artificial neural networks (ANNs) and how do they resemble the human brain: 4.2.1. In Biological context: 4.3. Popular Algorithms: 4.3.1. Convolution neural networks (CNN) and its major components: 4.3.2. Recurrent neural networks (RNN): 4.4. Interesting Applications: Chapter 5 Project: Cats versus dogs classifier 5.1. Download Anaconda: 5.1.1. Website: 5.2. Setup our deep learning environment: 5.3. Step by step code of our Deep learning classifier: 5.3.1. Download Dataset: 5.3.2. Opening up our environment: 5.3.3. Network Architecture: 5.4. Test the model: 5.4.1. Complete code: 5.4.2. Visualize Data: 5.4.3. Results: 5.4.4. Correlations in testing results of our classifier: 5.5. Deploy the web application (Internet of things): 5.5.1. Code for generating predictions for our server: 5.5.2. Deploy the Applica