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    Podcasts - Stories from Data and AI Practitioners


    What to expect: Authentic conversations with data professionals sharing their journeys, challenges, and insights. No scripts, no sales pitches - just genuine stories that inspire and educate.


    Perfect for: Anyone curious about data careers, looking for motivation, or wanting to learn from others' experiences.

    Listen Anywhere

    • YouTube Playlist - Watch with video
    • Spotify - Stream anywhere


    Webinars - Deep Dive Technical Sessions


    What to expect: Expert-led presentations on cutting-edge data topics. Interactive sessions where you can ask questions and engage with speakers in real-time.

    Perfect for: Data professionals wanting to stay current with industry trends and learn new technical skills.

    📚 Complete Webinar Library

    Framework(s) For Business Use-Cases

    Google ML Problem Framing

    ML Canvas

    DL Canvas



    AI Class Demonstrations

    AI Demos - Tensorflow.js

    AI Demos - Archived Keras.js demos

    AI Demos - Google

    AI Demos - Microsoft

    Pix2Pix Demo

    Deep Fake



    Low To No Code Activities

    Machine Learning Playground

    Tensorflow Playground

    Visualization of Convolutional Neural Networks

    Convnetjs MNIST Demo

    Google AI Experiments



    Open Source Tooling

    Open Source Ready To Go Toolkit For MLOps Arechitecture



    Interview Preparation Kit

    General Algorithms and Data Structures - HackerRank

    Python for Data Science/ Machine Learning

    Machine Learning / Deep Learning Algorithms



    Useful Coding Cheatsheets

    R for statistical reference

    Python for Machine/Deep Learning



    Productivity Tools

    Notes / Project Management

    Cloud-Based Website Creation



    Cloud Reference Architectures

    Google Cloud Platform



    Python Notebooks

    1. Python Fundamentals

    2. Data Structures

    3. Statistics

    * This section presents all the Jupyter annotated notebooks related to Distribution_Functions




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