Episode 5: Entity Embeddings for Categorical Variables

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Episode 1.1: Intro and building a machine learning framework

Abhishek Thakur

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Episode 1.2: Building an inference for the machine learning framework

Abhishek Thakur

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Episode 2: A Cross Validation Framework

Abhishek Thakur

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Tips N Tricks #2: Setting up development environment for machine learning

Abhishek Thakur

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Episode 3: Handling Categorical Features in Machine Learning Problems

Abhishek Thakur

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BERT on Steroids: Fine-tuning BERT for a dataset using PyTorch and Google Cloud TPUs

Abhishek Thakur

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Special Announcement: Approaching (almost) any machine learning problem

Abhishek Thakur

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Training BERT Language Model From Scratch On TPUs

Abhishek Thakur

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Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1)

Abhishek Thakur

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Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-2)

Abhishek Thakur

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Episode 4: Simple and Basic Binary Classification Metrics

Abhishek Thakur

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Training Sentiment Model Using BERT and Serving it with Flask API

Abhishek Thakur

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Episode 5: Entity Embeddings for Categorical Variables

Abhishek Thakur

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Tips N Tricks #5: 3 Simple and Easy Ways to Cache Functions in Python

Abhishek Thakur

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Multi-Lingual Toxic Comment Classification using BERT and TPUs with PyTorch

Abhishek Thakur

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Text Extraction From a Corpus Using BERT (AKA Question Answering)

Abhishek Thakur

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10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show

Abhishek Thakur

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Data Processing For Question & Answering Systems: BERT vs. RoBERTa

Abhishek Thakur

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Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously

Abhishek Thakur

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Sentencepiece Tokenizer With Offsets For T5, ALBERT, XLM-RoBERTa And Many More

Abhishek Thakur

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Talks # 1:Andrey Lukyanenko - Handwritten digit recognition w/ a twist & topic modelling over time

Abhishek Thakur

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Episode 6: Simple and Basic Evaluation Metrics For Regression

Abhishek Thakur

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Talks # 2: Subhaditya Mukherjee - Image restoration using Deep Learning: Dehazing

Abhishek Thakur

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Basic git commands everyone should know about

Abhishek Thakur

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How do I start my career in Data Science?

Abhishek Thakur

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Talks # 3: Lorenzo Ampil - Introduction to T5 for Sentiment Span Extraction

Abhishek Thakur

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Detecting Skin Cancer (Melanoma) With Deep Learning

Abhishek Thakur

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Talks # 4: Sebastien Fischman - Pytorch-TabNet: Beating XGBoost on Tabular Data Using Deep Learning

Abhishek Thakur

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Build a web-app to serve a deep learning model for skin cancer detection

Abhishek Thakur

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Talks # 5: Parul Pandey: Data Science, Diversity and Kaggle

Abhishek Thakur

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Implementing original U-Net from scratch using PyTorch

Abhishek Thakur

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Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6

Abhishek Thakur

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Talks # 6: Mani Sarkar: From backend development to machine learning

Abhishek Thakur

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Dockerizing the skin cancer detection web application

Abhishek Thakur

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How to train a deep learning model using docker?

Abhishek Thakur

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Building an entity extraction model using BERT

Abhishek Thakur

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Train custom object detection model with YOLO V5

Abhishek Thakur

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Talks # 7: Moez Ali: Machine learning with PyCaret

Abhishek Thakur

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How to convert almost any PyTorch model to ONNX and serve it using flask

Abhishek Thakur

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Hyperparameter Optimization: This Tutorial Is All You Need

Abhishek Thakur

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I finally got a copy of "Approaching (Almost) Any Machine Learning Problem"

Abhishek Thakur

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Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss)

Abhishek Thakur

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Live Q&A: Getting Started With Data Science

Abhishek Thakur

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WTFML: Simple, reusable code for PyTorch models

Abhishek Thakur

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Talks # 8: Sebastián Ramírez; Build a machine learning API from scratch with FastAPI

Abhishek Thakur

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Data Science PC Configs: From Low Range to Super-High Range

Abhishek Thakur

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BERT Model Architectures For Semantic Similarity

Abhishek Thakur

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I just got access to GitHub's Codespaces and it's amazing!

Abhishek Thakur

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Talks # 9: Vladimir Iglovikov; Detecting Masked Faces In The Pandemic World

Abhishek Thakur

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Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio)

Abhishek Thakur

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Docker For Data Scientists

Abhishek Thakur

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How To Become A Data Scientist In 1 Year (Learn From A Real World Example)

Abhishek Thakur

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Talks # 10: Tanishq Abraham; What are CycleGANs? (a novel deep learning tool in pathology)

Abhishek Thakur

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Deploy Any Machine Learning Or Deep Learning Model On Google Cloud Platform (App Engine)

Abhishek Thakur

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Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko

Abhishek Thakur

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VS Code (codeserver) on Google Colab / Kaggle / Anywhere

Abhishek Thakur

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Talks # 11: Jean-François Puget; Did you know GPUs are not just for Deep Learning?

Abhishek Thakur

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End-to-End: Automated Hyperparameter Tuning For Deep Neural Networks

Abhishek Thakur

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Deploy Any Machine Learning (or Deep Learning) Endpoint on Google Cloud Platform In 10 minutes

Abhishek Thakur

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Ensembling, Blending & Stacking

Abhishek Thakur