To propose a talk, simply fill this form. Our team will get back to you with the best suitable Meetup Date, Time, Venue etc.
We do look into all the applications received via the Form link mentioned above. All the Speaker Interest Applications are being scrutinized by the Organizing team of KDM Delhi NCR ) before we finalize a speaker for the events.
Refer to the speaker guides below to prepare for your first technical talks :
- https://www.cfpland.com/guides/speaking/
- http://weareallaweso.me/
- https://speaking.io/
- https://medium.com/@shehackspurple/presentation-tips-for-technical-talks-8d59f3de9f6d
- https://medium.com/@nikkitagandhi/elementary-tips-that-can-help-you-give-an-effective-tech-talk-ea0080c52c45
22-06-2024 ( Delhi NCR's Fiftieth Kaggle Days Meetup @ IIIT Delhi ) [ Community's 5th Anniversary Meetup ]
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Prof Ganesh Bagler: Computational Gastronomy: A Data Science Approach to Food
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Ashish Tiwari: Function calling - Connect ChatGPT to the Internet
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Sanyam Bhutani: Case Study of building AI agents & LLM Finetuning from Zero to Grandmaster
- Slides - Not shared by speaker
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Nischay Dhankhar: Mastering Kaggle Competitions
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Swati Dubey: Join the data revolution with Snowflake - the champion reshaping business futures worldwide
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Aman Deep: Beyond the Hype: Real-World Magic with Snowflake's Unmatched Capabilities
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Sanjeev Singh: GenAI x Data Architect : From Table to Trend
- Slides - Not shared by speaker
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Sanyam Bhutani: Cutting edge tricks of Data Engineering for LLMs
- Slides - Not shared by speaker
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Garima Arora: Introduction to MasterCard AI Garage
- Slides - Not shared by speaker
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Yatin Katyal: Scalable AI Application in MasterCard AI Garage
- Slides - Not shared by speaker
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Dr Ankur Arora and Ram Ganesh: Scalable Graph Research
- Slides - Not shared by speaker
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Bhaskarjit Sarmah: RAG on Financial Knowledge Graphs
- Slides - Not shared by speaker
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Sanyam Bhutani: GenAI Ecosystem for Finance
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Alekhya Bhatraju: Generative AI beyond ChatGPT
- Slides - Not shared by speaker
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Dr. Maneet Singh: Applications of AI/ML in the Financial Domain
- Slides - Not shared by speaker
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Ujjyaini Mitra: Talent Demand in the GenAI Era - what it Will Take to Stay Ahead of the Curve?
- Slides - Not shared by speaker
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Shreya Shukla: LogsAI : AI Copilot to make City CEOs 100x'ers
- Slides - Not shared by speaker
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Poonam Thapar: Leveraging GenAI to enhance Menu images at scale
- Slides - Not shared by speaker
- Souradip Chakraborty: Reinforcement Learning from Human Feedback - The success behind ChatGPT
- Slides - Not shared by speaker
17-06-2023 ( Delhi NCR's Forty Fifth Kaggle Days Meetup @ Evalueserve, Gurgaon ) [ Community's 4th Anniversary Meetup ]
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Sanyam Bhutani: State of LLMs, how to build your own LLM
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Nischay Dhankhar: How to approach any Kaggle competition
- Ishika Johari: Fundamentals of A/B Testing
View the Pre-Lunch Meetup Recording
View the Post-Lunch Meetup Recording
- Dr. Lokender Tiwari: Towards Robust Scene Understanding
- Usha Rengaraju: Accelerating Machine Learning using JAX
- Siddhartha Samant: Quantum Computing, ML and Challenges in Conversational AI
- Slides
- What is Quantum Machine Learning? — PennyLane documentation
- Determine where to place new charging stations on a map based on locations of existing charging stations and points of interest
- Detect NLP data drift using custom Amazon SageMaker Model Monitor
- High-performance Inferencing with Transformer Models on Spark
- Quadratic unconstrained binary optimization
- QUBO Tutorial
- ChatGPT: Optimizing Language Models for Dialogue
- Aishik Rakshit: Introduction to CLIP Model
- Gyanendra Das: Deep Active Learning
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Prateek Kumar Agnihotri: Images to Embeddings
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Kriti Doneria: Introduction to Data Sonification
- Konrad Banachewicz & Luca Massaron: Panel Discussion on " Grandmasters Journey on Kaggle + The Kaggle Book "
- Luca Massaron: Deep Learning for Credit Rating
- Urvish Patel: Creating instrument/music classification algorithm using Deep Learning
- Vahideh Dashti: How to become a data scientist with help of Kaggle?
- Mani Sarkar: Studying the limitations of statistical measurements
- Wagner Assis: Demand Forecasting ( Using Time Series )
- Kriti Doneria: Introduction to Model Risk Management - An Ethical AI Standpoint
- Ritesh Yadav: Building GPT-3 powered NLP Applications
- Dr. Amritpal Singh: Leveraging domain expertise on Kaggle
- Andrey Lukyanenko: Data visualization in Data Science
- Ishan Dutta: Deep Learning Experiment Tracking using Weights and Biases
- Mohammed Rizin: Tricks in Computer Vision and Ensembling
- Raghav Bali: Generating Images with Generative Adversarial Networks
- Tanay Mehta: Best Practices and Memory-Efficient Coding in Pytorch
- Kautilya Katariya: Computational Complexity & Different Algorithms
- Louise Ferbach: Embeddings : Generation and Uses in NLP
- Bruno de Paula Jacoia : Optimizing the underwriting with survival analysis
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Anjali Bhavan: Significance Testing in NLP
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Samruddhi Mhatre: NLP with Deep Learning
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Ayush Singh: A primer to Generative Adversarial Networks
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Prashans Dixit: Importance of Projects v/s No. of Certificates
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Jitendra Upadhyay: AutoNLP ( Covering Auto Model selection, Fine-tuning, and Deployment )
- [Slides] ( Not shared by speaker )
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Samarth Agrawal: LSTM Based Architecture ( With Code Demo )
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Siti Khotijah: Basic Machine Learning and Kaggle Experience
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Ibtesam Ahmed: Machine Learning Interpretability
[Oops! This Meetup was not recorded]
- Konstantin Yakovlev: **Feature Selection and Dimension Reduction on industrial Time-series Data **
- [Slides] ( Not shared by speaker )
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Vikas Gandhi: Keynote Session on Data & Intelligence Platform
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Shallu Sarvari: Nuances of building a Data & AI Platform
- [Slides] (Not shared by speaker)
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Chanpreet Kaur: Securing your Data Platform
- [Slides] (Not shared by speaker)
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Andrada Olteanu: Mastering your Data Science Notebook Flow
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Parul Pandey and Andrada Olteanu: Ask Me Anything Session (AI,ML)
- Valerii Babushkin: Recommendation Systems in Retail
- [Slides] ( Not shared by speaker )
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Shambhavi Mishra: Getting Started with Research & her poster presentation experience @ WiML, NeurIPS 2020
- [Slides] (Not shared by speaker)
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Aditya Jyoti Paul: Diving into Research
- Pawel Jankiewicz: Synthetic Data Generation for Deep Learning Models
- Crislanio Macedo: Applying Factor Analysis in Classification Problems
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Joshua Starmer : Understanding Neural Networks
- [Slides] (Not shared by speaker)
- Dimitre Oliveira: Using TPUs for Computer Vision
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Naman Bhayani and Ashish Pratap Singh: Deploying Computer Vision Models in Cloud
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Chakshu Garg: Introduction to Spark for Data Science
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Sandip Bhattacharjee: Large Scale Recommender Systems: Tips & Tricks beyond 101
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Shahul ES: Sentiment analysis from Beginner to Pro & Inroduction to Auto ML Open Source Project -> mljar-supervised
- Tanvi Keswani: Explainable AI: Building Trust and Transparency in AI
- Usha Rengaraju: Introduction to Tensorflow Hub & Text Classification using TF-Hub
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Ajinkya Kolhe: Becoming Hirable in Data Science in 2022
- Recommended Books: Sure's you must be joking Mr Feynman, 5 elements of effective thinking
- Recommended Person to follow: Cassie Kozyrkov
- Learning Machine Learning: ajinkyakolhe.com/learn-ml
- Knowledge Management: https://www.youtube.com/watch?v=inzJzpBuJuE
- Rajesh Shreedhar Bhat: Self-supervised Visual Feature Learning with Deep Neural Networks
- Arghya Mukherjee: Deploying Machine Learning Models
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Tarun Paparaju: Mathematical foundations of Neural Networks
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Tanul Singh: Introduction to Transformers
- Sourabh Maity: Introduction to Graph Neural Networks
Every Saturday of June 2020 ( Kaggle Days Meetup Delhi NCR's First Anniversary Celebrations & Eleventh Meetup [Series] @ Online )
1st Anniversary Meetup #4 on 27-6-2020. View the Meetup Recording here
1st Anniversary Meetup #3 on 20-6-2020. View the Meetup Recording here
1st Anniversary Meetup #2 on 13-6-2020
1st Anniversary Meetup #1 on 6-6-2020
- Souradip Chakraborty: Bayesian Linear Regression
View the Meetup Recording here
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Rohan Dhupar: Tensorflow for faster production over Keras
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F. Firat Gonen: Discussing Industrial Data Science & Big Data
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Tanul Singh: : Journey to become a Kaggle Notebook Expert
- Lightning Talk ( So no slides )
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Sriram Sitaraman: MLOps Intro - Managing & Automating ML pipelines to bring data science into real business applications
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Hitkul Jangid: A checklist for building Neural Networks
View Complete Meetup Recording here. ( View it from 12:15 minutes onwards )
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Rajneesh Tiwari: Application of Deep Learning in Understanding Cloud Images
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Shubham Goyal: Finding Best Solutions for Image Processing
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Abhishek Thakur: Approaching (almost) Any NLP Problem
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Nishat Hussain & Sumit Pundir: Counterfactual Machine Learning
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Chandra Shekhar Prasad: Improving UX & Overcoming Data Insufficiency for Risk Model Development
- [Slides] ( Not shared by speaker )
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Shraddha Avasthy: Data Science as a Tool for Informing Business Insights
- [Slides] ( Not shared by speaker )
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Aakash Goel: Semantic Text Similarity and Different Embeddings to find Similarity
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Nishant Chhetri: NLP from Attention's Perspective
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Mohamed Ramzy: Intro to CNNs with Digit Recognizer Challenge
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Siddharth Yadav: HyperParameter Optimization & Stacking on a Kaggle Competition
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Mayank Kumar Jha: Baseline Modelling, Cross-Validation Process on a Kaggle Competition
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Ishaan Jain: Feature Engineering for a Kaggle Competition
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Yatin Bhatia: My DS Story, AI in Pharma Domain, Transfer Learning in NLP, Model Interpretability
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Ankit Rathi: Kaggle Vs Real World Projects
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Michal Bugaj: More into NLP, CV, Kaggle Competitions
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Praneet Nigam: Hands on Session on Computer Vision
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Aquib Javed: Hands on Session on Natural Language Processing
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Nishat Hussain: Introduction to Computer Vision
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Rajneesh Tiwari: More into Computer Vision
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Akarsh Raj: Introduction To Kaggle & Kaggle Competitions
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Vikas Kumar: Introduction to Kaggle NLP Challenges
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Maria Parysz: Welcome Note for India's First Kaggle Days Meetup
React
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