Workshop on
Artificial Intelligence and Machine Learning

At
Technocrats Institute of Technology

Get Certified Training with TechSim+ at TIT Bhopal in association with IETE & TIT Bhopal under the guidance of Industrial Experts

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Workshop Details

  • Dates: 11th to 14th March 2019
  • Last Date to Apply: 9th March 2019
  • Workshop Fee: ₹ 250/- Per Student


Important

  • • It is mandatory to bring your laptop and Internet Hotspot.
  • • Please do carry extension board along with you if possible to charge your laptops. Also, your workshop classrooms would have sufficient charging ports.



What you will Learn in This Training

Introduction of Artificial Intelligence & Play with Python Libraries

  • 1. Introduction to Artificial Intelligence and Machine Learning
  • 2. Classification of Machine Learning and Deep Learning
  • 3. Types of Machine Learning
  • 4. Future Scope of Machine Learning and Artificial Intelligence
  • 5. Walk with Python
  • 6. Installing Packages
  • 7. Run Anaconda
  • 8. Working with Different Library

Data Visualizations and Automation of Browser

  • 1. Working with Real Data
  • 2. Get the Data
  • 3. Discover and Visualize the data with Matplotlib
  • 4. Play with Data Sets
  • 5. Prepare the Data for Machine Learning Algorithms
  • 6. Understand the Selenium and Drivers
  • 7. Understand the Template Elements
  • 8. Automate the Browser

Machine Learning - Classification & Regression Part - 1

  • 1. Understand the MNIST Data Sets
  • 2. Training a Classifier
  • 3. Preformation Measures
  • a. Cross Validation
  • b. Confusion Matrix
  • 4. Understanding of Regression
  • 5. Single Linear Regression
  • 6. Multi Linear Regression

Machine Learning - Classification & Regression Part - 2

  • 1. Logistic Regression
  • 2. Single Logistic Regression
  • 3. Multi Logistic Regression
  • 4. Support Vector Machine(SVM)
  • 5. Linear SVM Classification
  • 6. No Linear SVM Classification

Object and Face Detection

  • 1. Installing OpenCV
  • 2. Frame differencing
  • 3. Face detection and tracking
  • 4. Training Model with Real Time Face
  • 5. Testing the Faces

Introduction to Artificial Neural Network

  • 1. What is Deep Learning
  • 2. Why Deep Learning
  • 3. Neural Networks
  • 4. Biological Neurons
  • 5. Installation of TensorFlow
  • 6. Creating your First Graph
  • 7. Managing Graphs
  • 8. Visualizing the Graph and Training Curves using Tensor-Board

For Registration

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Our Office

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  • 3rd Floor, Kalpataru Tower
    Z-II MP Nagar, Bhopal - 462011

Student Coordinator

  • Priyanshu:
  • Call: 8271492703
  • Krishna:
  • Call: 9617698027