Workshop on Artificial Intelligence & Machine Learning

14 - 24 June 2021


This course aims to provide a concise introduction to the fundamental concepts in machine learning including mathematical foundations, programming tools and packages and popular Artificial Intelligence & Machine Learning algorithms. The participants will gain knowledge in Artificial Intelligence & Machine Learning principles through a lot of practical applications covering industrial case walk-throughs and real-time applications.


Dr. Amey Karkare
(Associate Professor, Dept. of Computer Science and Engineering)

Tentative Schedule

Download Topic wise Schedule

Day Morning Afternoon
Day-1 1000 -1015:Inauguration
Introduction to AI and Machine Learning
Connecting Data Science, ML and AI
Artificial Intelligence Evolution
Find out where AI and Machine Learning is applied in real life scenarios
Quick review of Python (Functions, Strings, Tuples, Lists, Sets, Dictionary)
Lab about Python Setup and Basic Python
Day-2 More Python(File I/O, Exceptions)
Python Packages for ML
Lab:GUI Support:Bar Charts, Line Charts, Scatterplots
Day-3 Correlation and Causation
Dependence and Independence, Conditional Probability, Bayes’Theorem,
Random Variables, Continuous Distributions, The Normal Distribution
Lab: Reading Files, Scraping the Web, Cleaning, Munging and Manipulating
Day-4 Supervised Learning
Unsupervised Learning
Reinforcement Learning
Python Modules and Packages
Generalization, Overfitting and Underfitting
Lab: Reading Files, Scraping the Web, Cleaning, Munging and Manipulating(Continued)
Day-5 Linear models
k-Nearest Neighbour
Naive Bayes Classifiers
Decision trees
Day-6 General introduction of Neural Networks-Learning and Generalization,
C lassification -Logistic Regression, Sigmoid Function
Unsupervised learning: Challenges
Random Forest
k-Means clustering
Coding a Linear Regression in Python with scikit-learn.
Day-7 Search Algorithms in AI
* defining a search problem
* Tree Search versus Graph Search
* uninformed search: depth-first, breath-first, and variants
* informed search: best-first, A*
* comparingstrategies
Day-8 Need for Data pre-processing and Transformations
Evaluate Machine Learning Algorithms
Split into Train and Test Sets
K-fold Cross Validation
Day-9 Leave One Out Cross Validation
Repeated Random Test-Train Splits
Error metrics such as MSE and MAE
Feature Engineering
Feature Selection
Reinforcement Learning:Markov chain, Markov decision processes, Bellman equations,
Value iteration and policy iteration, Monte Carlo learning versus Temporal differencing,
Day-10 Industry Talk: Examples of Real-time application of ML Lab: Industrial use case walk through
1700 -1730: [ALL]
Q&A, Feedback


Sr. No. Name
1. Dr. Amey Karkare, CSE, IIT Kanpur
2. Dr. Arnab Bhattacharya, CSE, IIT Kanpur
3. Dr. Subhajit Roy, CSE, IIT Kanpur
4. Dr. Ashish Tendulkar, Google Research
5. Mr. Jeetendra Singh , RCPL

selected participants

Sr. No. Name Institute Name Sr. No. Name Institute Name
TEJINDER SINGH Dr. B.R.Ambedkar Institute of Technology, Pahargaon, Port Blair, Andaman & Nicobar Islands GOLAM IMRAN HUSSAIN Jorhat Institute of Science & Technology, Jorhat
GOVIND KUMAR JHA Bhagalpur College of Engineering, Bhagalpur, Bihar Rajat Gupta Darbhanga College of Engineering, Darbhanga
Gunjan Soni MNIT Jaipur Dr. Vinay V. Panicker NIT Calicut
Saurabh Chanana NIT Kurukshetra S. SRINIVASA RAO NIT, Warangal
Prashant Kumar Sahu Govt Engineering College, Raipur Kishor Kumar Vishwavidyalaya Engineering College, Lakhanpur
Nikhil Gupta Baba Ghulam Shah Badshah University, Rajouri Assif assad Islamic University of Science & Technology, Pulwana
CHINMAY MONDAL BIT, Sindri RAJEEV RANJAN PATHAK Dumka Engineering College (previously Techno India Dumka)
Dr Prashant Kumar Singh University College of Engineering and Technology (UCET), Vinoba Bhabe University, Hazaribag Vijaylakshmi Jigajinni Basaveshwar Engineering College, Bagalkot
Latha H N BMS College Of Engineering, Bangalore Ms Shalini N Dr. Ambedkar Institute of Technology, Bangalore
Mr Chetan Kumar V PES College of Engineering, Mandya Rosamma Thomas School of Engineering, Cochin University of Science of Technology, Cochin
UTKARSH SRIVASTAVA Madhav Institute of Technology & Science, Gwalior Namami Krishna Sharma Rewa Engineering College, Rewa
Vishwanath Haily Dalvi Institute of Chemical Technology, Mumbai, Maharashtra Monojit Seal Bineswar Brahma Engineering College, Kokrajhar
Samarjit Patnaik CET Bhubaneshwar DILIP KUMAR BAGAL Government Engineering College, Kalahandi
Lalbahadur Majhi CET Bhubaneshwar Soumya Das Government Engineering College, Kalahandi
Sandeep kumar singla GNDEC Ludhiana Raj Kumar Yadav Govt Engg College, Ajmer
Keshav dutt Govt Engg College, Jhalawar SANDEEP MANDIA Govt Mahilla Engg College, Ajmer
Rajni Choudhary Govt. Engineering College, Banswara RANU LAL CHOUHAN Govt. Engineering College, Bikaner
Dr.S.Sankarapandian Alagappa Chettiar College of Engg & Tech, Karaikudi M SUGUNA Thiagarajar College of Engineering, Madurai, Tamil Nadu
Kuchulakanti Harish University College of Engineering, Osmania University, Hyderabad,Telangana Sakshi Kaushal University Institute of Engineering and Technology, Punjab University, Chandigarh
Adiraju Varaha Santhosh Deepak FET MJP Rohilakhand University, Bareilly Samarendra Pratap Singh Institute of Engineering & Technology, Dr. RML Awadh University, Faizabad
Kamlesh Kumar Gautam Rajkiya Engineering College, Banda Mrs. Dipika Dhara Dr Maulana Abul Kalam Azad University of Technology, West Bengal
JOYDEEP MUKHERJEE Faculty of Engg & Tech - Jadavpur Univ, Jadavpur