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Registration link for “GATE-2025-Study-Circle”
Skills delivery and innovation – The Beginning date for the course is Monday, Sept 2 Please register soon and can contact by sending email to Jaymeet Vasava <jaymeetdvasava@gmail.com> or call cell +91 99797 15554 if you have any questions.
PP-101: Programming in Python Sept. 2 – Sept 15 ( Classes M,W,F: Dates 2,4,6,9,11,13)
This will cover Basics of Python Programming along with its syntax for different Data types and coding. Will cover aspects of object oriented programming as well. There will be practicals to solve different constructs available to solve some simple problems using Jupyter Notebooks. This is a prerequisite for MULP-101 course.
Reference: Python Programming- ISBN : 978-81-959863-5-4 by Dr Amit Kumar Srivastava (IIT Madras), Mr. Sanjoy Das (AICTE Delhi) – Available for use in lab work.
The Machine learning course requires previous knowledge of Python or a PP-101 equivalent.
MLUP-101 Machine Learning Using Pythons Sept 16 (Classes M,W,F for 8 week)
Register for MLUP-101 Now by filling the linked form.
Classes will be held online Sept 16 – November 28, Monday,Wednesday, Friday – 6.30PM-8.00PM IST
Machine Learning Using Python -101 (MLUP-101) Modules
Recommended Books – https://www.wileyindia.com/catalog/product/view/id/6915/s/machine-learning-using-python/for
| Modules | Topics weightage of 100 |
| ML Using Python M01-ML Overview (S-01) | 6 |
| ML Using Python M02-P01-Descriptive Analytics (S02) ML Using Python M02-P02 Descriptive Analytics Visualization (S03) | 6 |
| ML Using Python M03 P01 Probability Distribution (S04) ML Using Python M 03 P02 Hypothesis Testing (S05) | 6 |
| ML Using Python M04 Linear Regression (S06) | 6 |
| ML Using Python M05 P01 Binary Logistic Regression (S07) ML Using Python M05 P02 Classification Gain & Lift (S08) ML Using Python M05 P03 Classification (S9) | 6 |
| ML Using Python M06 P01 Advance Machine Learning GD Algo Advt. Data Set/ Cost Function / K-fold Cross-Validation (S10) ML Using Python M06 P02 Advance Machine Learning – Standardized Values for X,Y and Normalization / RMS Error/Overfit/L1/L2 Norms (S11) ML Using Python M06 P03 Advance Machine Learning – Random Forest, Logistic Regression Boosting with federated models (S12) | 6 |
| TBA | 6 |
| TBA | 6 |
| TBA | 6 |
| TBA | 6 |
| TBA | 6 |
| Case Study: Forecasting/Recommender System | 6 |
| Final ML Project Submission | |
| Project Selection | 3 |
| Teaming with colleagues to design and code | 10 |
| Test & Deliver code | 15 |
| Total | 100 |
Machine Learning using Python Manaranjan Pradhan U Dinesh Kumar | IIMB
eOTF TechFest 2024 – Gen AI for Services (Dec Fri 20, Sat 21)
Registration for GenAI Technology Workshop on Dec 20-21 (Fri-Sat), 2024 online (see CFP at page end here to be finalized by following Program Committee Members)
This will cover the practice and use of GenAI for Commercial / Industrial (Semiconductor/ Quantum) Services
Themes AIMLDL for SemiTech-Quantum and Enterprise/Public Services (More to follow as we get closer to event, once we have CFP closure.
GenAI-101 – The ChatGPT mother of all Language Models & NLP usage
Prompt Engineering & RAG – OpenAI as reference for tokenization and it’s use by different derivative products including MS Co-pilot. Other similar offerings from Google Gemini/Gemma, Meat like Lamma, Hanuman.io, Kruthrim etc.
Deep dive into SLM/LLM systems engineering aspect, building your own micro models in Kaggle & Huggingface
AI Vertical and Applications for Legal, Sales and Services
Kissan AI…and many more invited speakers and Demo
RISC-V for Vector implementations
You can apply for Call for Proposal (CFP) before Oct 24, so the revised updates will be published by the above listed Programme Committee members for eOTF.
Please contact us by sending email to info@eotf.in for any queries you may have.