Artificial Intelligence Training in Chennai

Learning Objectives:

This module of the Artificial Intelligence Training in Chennai will help you understand the Introduction to Python & basics of Python

Topics:

• How python is different from other languages
• Python versions, Installing python & IDLE
• 
  How to execute a python program
• Writing your first program
• Basics to Python
• Python keywords and identifiers
• List, tuples, dictionaries
• Python statements, Comments & Command-line arguments
• Getting user input
• AI capstone projects
• Arithmetic operators

Learning Objectives:

This module of the Artificial Intelligence Course in Chennai will help you understand Introduction to Machine Learning and concepts of ML

Topics:

• Introduction To Machine Learning
• What is Machine Learning?
• Data Science vs Machine Learning
• Fundamentals of Machine Learning
• Tools and techniques
• Types of machine learning
• How to prepare the data and analyze it
• Different phases of Machine learning
• Modeling & data preparation
• Train test split
• Evaluation of the model
• Classification of ML & Data Mining
• Overfitting the ML Error
• Concept clearance of decision tree

Learning Objectives:

This module of the Artificial Intelligence Training Center in Chennai will help you understand Supervised Learning & Unsupervised Learning

Topics:

• Classification of supervised learning
• KNN, Logistic regression & Naive Bayes
• Decision Tree
• Linear Regression, SVR & KNN Ridge Regression
• Model complexity
• Generalization performance
• Importance of feature scaling
• Cross-validation for model evaluation
• What is unsupervised learning?
• Types of unsupervised learning
• K-means clustering
• Various kinds of learning
• Recommendation Engines
• Supervised vs. Unsupervised Machine Learning
• Applications and Disadvantages of unsupervised machine learning

Learning Objectives:

This module of the Artificial Intelligence Training Institute in Chennai will help you understand Sentiment Analyzer & Latent Sentiment Analysis

Topics:

• Description to sentiment analyzer
• Preprocessing- tokenization
• Sentiment analysis using logistic regression
• Sentiment lexicons & Regular expressions
• Sentiment Analysis Tool & Twitter sentiment analysis
• Advantages of using sentiment analysis
• Different types of Deep Learning techniques
• Keeping a check on the analyzer
• Introduction to Latent Sentiment Analysis
• PCA and SUD
• LSA in Python & Advanced LSA
• Theory and practical of LSA
• Classification
• Implementing LSA in Python using Gensim
• Use cases of Topic Modeling

Learning Objectives:

This module of the Artificial Intelligence Training in Chennai will help you understand Article Spinning, Tensorflow, and Neural Network

Topics:

• Introduction to article spinning
• Article rewriter & N-gram model
• Natural language generation vs article spinning
• Republishing in a different format
• Implementation of article spinning with Python
• Pros and cons associated with article spinner
• Introduction to Tensorflow & Learning Tensorflow with Python
• Computation Graph Tensors & neural network implementation in TensorFlow?
• Placeholder , variables & TensorFlow basics
• Conceptual understanding of Neural Networks
• Core API components & Model evaluation
• Deep learning with Tensorflow

Learning Objectives:

This module of the Artificial Intelligence Course in Chennai will help you understand Convolutional Neural Network & Website Artificial Neural Networks

Topics:

• Introduction to conventional neural network
• Types of layers
• Activation layer, Pooling & Flattening
• Fully connected layer
• Softmax, argmax and cross entropy
• Perceptron, Activation function
• The cost function, Tools, and techniques used
• Gradient descent backpropagation
• Artificial neural networks
• Linear & logistic regression with Tensorflow
• Practical applications of ANN & LSTM networks
• Mimicking the process through various algorithms
• Restricted Boltzmann machines
• Autoencoders, Predictive modeling
• Disadvantages of artificial neural networks?

Learning Objectives:

This module of the Artificial Intelligence Training Center in Chennai will help you understand Object Detection & Face Detection

Topics:

• Object Detection overview
• Concept of fast R-CNN
• Classification of the objects
• Understanding faster RCNN
• Use cases and applications
• Image recognition and segmentation
• Working of object detection
• mask RCNN in Python
• face and eye detection
• Viola jones algorithm & Haar-like feature
• Integral image & Training classifiers
• Adaptive boosting, Cascading & Merging faces
• Yawn detector and counter
• Facial recognition

Learning Objectives:

This module of the Artificial Intelligence Training Institutes in Chennai will help you understand Motion Analysis and Object Tracking

Topics:

• Introduction to motion analysis
• Motion detection and pose estimation
• Filtering by color
• Background subtraction & foreground subtraction
• Using mean-shift & Camshaft for object tracking
• Single-object localization, Object segmentation, & tracking
• Ways to object/person detection, Analyzing the object, & Optical flow