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ARTIFICIAL INTELLIGENCE

TECHTRUNK VENTURES PVT LTD

Data Analytics/Data Science/Machine Learning

9500

8y ago

Course Duration: 1 Week

Course Details

If you are a computer geek, if you love coding and wish to explore dimensionless world of programming, TechTrunk brings you the core Artificial Intelligence Training which will take you through core development and programming experience and will make you expert in writing algorithms for AI applications, you will learn Machine Learning, Fuzzy Logic, NLP, SVM and much more.

Content

Day 1Session 1

Introduction to Artificial Intelligence
Applications, Industries and growth
Techniques used for AI
AI for everything
Getting started with Artificial Intelligence
Python Basics & Hands On
Getting started with Python
Working with Software Environment
Variables, Lists, Vectors, Matrices & Arrays
Control Structures – If else, for and while loop

Session 2

Functions & Subroutines
Object oriented Programming
Commonly used predefined function in Python
Using numpy for mathematical Computation in Python
Miscellaneous Functions & their applications

Day 2Session 1

Fuzzy Logic
Getting started with Fuzzy Logic
Applications of Fuzzy Logic
Working with Fuzzy logic
Problem Formulation, Defuzzification & Rulebase
Membership Functions
Defuzzification Methods
Mamdani & Sugeno Methods

Session 2

Washing Machine Problem
Tipping Problem Analysis
Fuzzy Clustering
Fuzzy C Means Clustering
Fuzzy K Means Clustering
Fuzzy Logic in Various Branches
Fuzzy Logic packages in Python
Using Pyfuzzy with python
Programming Fuzzy Logic Applications
Practical Examples, Case Studies & Hands on session on Fuzzy Logic

Day 3Session 1

Artificial Intelligence & Machine Learning
Applications of Machine Learning
Getting Started with Machine Learning
Supervised Learning Introduction & Examples
Unsupervised Learning Introduction & Examples

Session 2

Regression & Classification Problem Analysis
Linear Algebra in Python
Linear Regression Method
Working with Linear Regression Problems in Python

Day 4Session 1

Artificial Neural Network (ANN)
Introduction to Neuron
Introduction to Network Architecture
Designing Neural Network Model
Model Representation Methods
Single Layer Neural Network
Weights & Activation Functions
Multilayer Neural Network Architecture
Introduction to Gradient Descent Algorithm

Session 2

Working with theano & Python
Training Straight line hypothesis
Training the Network
Backward Propagation Training
Using the Network
Importing & Exporting Network
Importing & Exporting Training Data
Dynamic Neural Network
Practical Examples, Case Studies & Hands on sessions

Day 5Session 1

Working with Projects
Getting data from Scikit learn
working with scikitlearn
data analysis tools from scikit learn

Session 2

Best Mean Fitting
Working with Best Mean Fitting
Single Line as Hypothesis Training
Using theano for best mean fitting
Practical Example

Day 6Session 1

Support Vector Machine
Introduction to SVM
Concept of Support Vector Machine
Working with scikit learn library
SVM Parameters
Using Support Vector for Classification
Using Support Vector for Regression

Character recognition using SVM

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