Things to know about Artificial Intelligence Training in Chennai

Artificial intelligence is also referred to as machine intelligence where machine starts thinking with the help of data. Data that we offer to the machine is first recorded and stored. Once this process is complete, the machine will then analyse your data and provide suggestions that humans have to do. You may think that it is not possible but our Artificial Intelligence course will help you learn the ethical use of Artificial Intelligence in an easy way.

When information technology starts evolving, the data that we browse gets stored in databases and that’s where the machine starts monitoring the humans. Earlier humans do share and store their information with them and the data will not be stored by any third party. Artificial neural networks and deep learning artificial intelligence has great scope as it has the great ability to process data much faster and makes predictions more quickly. Our real time Artificial Intelligence (AI) training in chennai will help us to show you the AI apps that use machine learning and know more about AI components.

Best Artificial Intelligence Courses in Chennai

The main goal of artificial intelligence is to make the machine think and act accordingly. It’s nothing but the combination of Data Science and Machine Learning that makes the artificial intelligence technique possible in real time. Machine Learning is a statistical tool to explore data  and you will know the process and tricks of how machines predict the future in our Artificial intelligence Course in chennai. Deep Learning is the subset of machine learning and it creates architecture which is referred to as Multi Neural Network Architecture. The main idea of deep learning is to mimic the human brain and in that way it helps machines to think like humans. If you look for Best Artificial Training in Chennai Velachery and OMR, you can contact us anytime.

AI Technology captures and analyses visual information thereby enables digital signal processing. It has more focus on machine based image processing and natural language processing. And AI is used in many sectors nowadays and you will learn about it in detail when you learn Artificial Intelligence course from the best Artificial Intelligence Training Institutes in Chennai.

Syllabus for Artificial Intelligence Course in Chennai

Module 1: Introduction to Data Science

• What is Data Science?

• What is Machine Learning?

• Do you know what is Deep Learning?

• What is AI?

• Data Analytics & its types

Module 2: Introduction to Python

• What is Python?

• Why Python?

• How to install Python?

• Python IDEs

• Jupyter Notebook Overview

Module 3: Python Basics

• Python Basic Data types

• Lists

• Slicing

• IF statements

• Loops

• Dictionaries

• Tuples

• Functions

• Array

• Selection by position and Labels

Module 4: Python Packages

• Pandas

• Numpy

• Sci-kit Learn

• Mat-plot library

Module 5: Import Data

• How to read CSV files?

• How to save in Python data?

• Do you know how to load Python data objects?

• How to write data to csv file?

Module 6: Manipulate Data

• How to select rows/observations?

• Do you know to round Number?

• How to select columns/fields?

• Merge data

• Deep Dive on Data aggregation

• Deep Dive on Data munging techniques

Module 7: Statistics Basics

• Central Tendency

• Mean

• Median

• Mode

• Deep Dive on Skewness

• Normal Distribution

• What does it mean by probability?

• Types of Probability

• ODDS Ratio

• Standard Deviation

• Data deviation & distribution

• Variance

• Bias variance Trade off

• What is Underfitting?

• What is Overfitting?

• Distance metrics

• Deep Dive on Euclidean Distance

• Deep Dive on Manhattan Distance

• Outlier analysis

• What is an Outlier?

• InterQuartile Range

• Box and whisker plot

• Upper Whisker

• Lower Whisker

• Scatter plot

• Cook’s Distance

• Missing Value treatment

• What is a NA?

• What do you know about Central Imputation?

• Deep Dive on KNN imputation

• What do you know about Dummification?

• Correlation

• Deep Dive on Pearson correlation

• Positive and Negative correlation

Module 8: Error Metrics

• Classification

• Confusion Matrix

• Precision

• Recall

• Specificity

• F1 Score

• Regression

• MSE

• RMSE

• MAPE

Module 9: Machine Learning

• Supervised Learning

• Deep Dive on Linear Regression

• What do you know about Linear Equation?

• Slope

• Intercept

• R square value

• Logistic regression

• ODDS ratio

• How to find Probability of success?

• How to find Probability of failure Bias Variance Tradeoff?

• ROC curve

• Deep Dive on Bias Variance Tradeoff

Module 10: Unsupervised Learning

• K-Means

• K-Means ++

• Deep Dive on Hierarchical Clustering

Module 10: SVM

• Support Vectors

• Hyperplanes

• 2-D Case

• Deep Dive on Linear Hyperplane

• What do you know about SVM Kernel?

• Linear

• Radial

• What do you know about Polynomial?

Module 11: Other Machine Learning algorithms

• K – Nearest Neighbour

• Naïve Bayes Classifier

• Decision Tree – CART

• Decision Tree – C50

• Random Forest

Module 12: Artificial Intelligence

• AI Introduction

• Perceptron

• Multi-Layer perceptron

• Markov Decision Process

• Logical Agent and First Order Logic

• Look Around AI Applications

Module 13: Deep Learning Algorithms

• CNN – Convolutional Neural Network 

• RNN – Recurrent Neural Network 

• ANN – Artificial Neural Network

Module 14: Natural Language Processing

• NLP – An Overview

• Text Pre-processing

• Noise Removal

• Lexicon Normalization

• Lemmatization

• Stemming

• Object Standardization

Module 15: Text to Features (Feature Engineering)

• Deep Dive on Syntactical Parsing

• Dependency Grammar

• Part of Speech Tagging

• What do you know about Entity Parsing?

• Named Entity Recognition

• Topic Modelling

• N-Grams

• TF – IDF

• Frequency / Density Features

Module 16: NLP Task

• Text Classification

• Text Matching

• What do you know about Levenshtein Distance?

• Deep Dive on Phonetic Matching

• What do you know about Flexible String Matching?