Technical Skill

Duration: 65+ hours

Introduction to AI/ML
• Meaning, Scope, and Stages of artificial intelligence
• Emergence of AI
• Three stages of AI
• Sci-Fi movies with concept of AI
• Relationship between AI and ML
• ML approaches
• Applications of AI and ML
• Image Recognition
• Effects of Artificial Intelligence on society
• Supervises Learning for Telemedicine
• Solves complex Industries

Fundamentals of ML and Deep learning
• Meaning of ML
• Relationship between ML and statistical analysis
• Process of ML
• Types of ML
• Meaning of Unsupervised learning, semi-supervised learning
• Algorithms of ML
• Regression
• Overfitting
• Decision Trees
• K-NN
• Support Vector Machines(SVM)
• Deep neural networks
• Principal Component Analysis(PCA)
• Computer Vision
• Advanced Computer Vision
• Perceptron

Search and Adversarial Search
• Uninformed Search-Breadth first search
• Uniform Cost Search
• Depth First Search
• Depth-Limited Search
• Iterative Deepening Depth-First Search
• Bidirectional Search
• Informed Search-Greedy Best-First Search
• A* Search
• Beyond Local Search-Hill Climbing
• Simulated Annealing
• Beam Search
• Genetic Algorithms
• Online Search
• Informed Search
• Min-max Tree
• Alpha-Beta Pruning
• Move Ordering
• Stochastic games

Constrained programming
• Constraint Satisfaction Problems
• Map coloring
• Sudoku Job scheduling
• Constraint Propagation
• Backtracking

Reinforcement learning
• Passive Reinforcement learning
• Active Reinforcement learning
• Policy Search

Ensemble Learning
• Ensemble learning methods
• Working of AdaBoost
• AdaBoost Algorithm and Flowchart
• Gradient Boosting
• XGBoost

Text Mining
• Overview of text mining
• Significance of text mining
• Applications of text mining
• Natural language Toolkit library
• Text extraction and pre-processing: Tokenization
• Text extraction and pre-processing: N-grams
• Text extraction and pre-processing: Stop Word removal
• Text extraction and pre-processing: Stemming
• Text extraction and pre-processing: lemmatization
• Text extraction and pre-processing: POS Tagging
• Text extraction and pre-processing: Named Entity Recognition
• NLP Process Workflow

Time series Modelling
• Time series pattern types
• White noise
• Stationarity
• Removal of no-stationarity
• Time series models

Machine learning workflow
• Get more data
• Ask a sharp question
• Add data to the table
• Check the quality
• Transform features
• Answer the questions
• Use the answer

Performance Metrics
• Need for performance metrics
• Key methods of performance metrics
• Confusion matrix
• Terms of confusion matrix
• Minimize false cases
• Minimize false positive
• Accuracy
• Precision
• Sensitivity
• F1 Score

• Probabilistic, Reasoning, Decision making.
• Multi-output and Structured output prediction
• Search and Optimization
• Reinforcement learning
• Bayesian filtering
• Recurrent neural Networks
• Deep Neural networks
• Deep Reinforcement learning
• Generative Adversarial networks
• Drifting Data streams
• Statistical ML theory
• Analysis and evaluation of statistical models
• Analysis of data
• Supervised Learning-Artificial neural networks, kernel methods
• Unsupervised learning-clustering, Topic modelling.
• Missing data
• Reinforcement Learning