Exploring Artificial Intelligence:

Introduction to Artificial Intelligence

Search Problems

Constraint Satisfaction Problems

Adversarial Problems

Uncertainty

Machine Learning

Reinforcement Learning

Introducing Natural Language Processing

Developing AI and Machine Learning Solutions with Python:

AI and ML Solutions with Python: Machine Learning and Data Analytics

AI and ML Solutions with Python: Supervised, Unsupervised and Deep Learning

AI and ML Solutions with Python: Deep Learning and Neural Network Implementation

AI and ML Solutions with Python: Implementing ML Algorithm Using scikit-learn

AI and ML Solutions with Python: Implementing Robotic Process Automation

Developing AI and ML Solutions with Java:

Developing AI and ML Solutions with Java: AI Fundamentals

Developing AI and ML Solutions with Java: Machine Learning Implementation

Developing AI and ML Solutions with Java: Neural Network and Neuroph Framework

Developing AI and ML Solutions with Java: Neural Network and NLP Implementation

Developing AI and ML Solutions with Java: Expert Systems and Reinforcement Learning

AI Development with TensorFlow:

TensorFlow: Introduction to Machine Learning

TensorFlow: Simple Regression and Classification Models

TensorFlow: Deep Neural Networks and Image Classification

TensorFlow: Convolutional Neural Networks for Image Classification

Tensorflow: Word Embeddings & Recurrent Neural Networks

Tensorflow: Sentiment Analysis with Recurrent Neural Networks

Tensorflow: K-means Clustering with TensorFlow

Tensorflow: Building Autoencoders in TensorFlow

Tensorflow: Word Embeddings & Recurrent Neural Networks

TensorFlow: Convolutional Neural Networks for Image Classification