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Explore image restoration using deep learning with Subhaditya Mukherjee, a student at Vellore Institute of Technology, in this 1-2 hour webinar by Abhishek Thakur. Learn about dehazing and neural networks.
Learn to implement key evaluation metrics for regression problems in under an hour with Abhishek Thakur. Topics include Mean Absolute Error, R2 score, and more.
Learn to use Google's Sentencepiece tokenizer for question and answering systems in less than an hour with Abhishek Thakur. Implement it with various transformer models.
Learn text extraction using BERT with Abhishek Thakur. This 1-2 hour material covers coding environment, targets, sentiment, IDs, evaluation, and training.
Learn to implement entity embeddings for categorical variables using tensorflow/keras in less than an hour with Abhishek Thakur.
Learn to train a sentiment model using BERT and serve it with Flask API in a 1-2 hour video by Abhishek Thakur. Achieve 93% accuracy on IMDB 50K Movie Reviews dataset.
Learn binary classification metrics in less than an hour with Abhishek Thakur. Enhance your machine learning framework with a customizable classification metrics class.
Learn to approach a Kaggle competition on Bengali grapheme classification using PyTorch with Abhishek Thakur. Master multilabel classification in under an hour.
Learn to build a reusable machine learning framework for tabular datasets with Abhishek Thakur. Less than 1-hour material, split into two sub-episodes.
Explore deep learning models for survival analysis with Kaggle Master, Abhishek Thakur. Learn to predict time-to-event outcomes in under an hour.
Learn to build conversational bots with Machine Learning Engineer, Merve Noyan. Covering frameworks, natural language understanding, dialogue management, and common mistakes in a 1-2 hour workshop.
Learn about BigBird block sparse attention in under an hour with Abhishek Thakur. Understand its implementation, comparison with BERT, and usage tips for better performance.
Learn to generate images from text prompts with DALL·E mini, a simplified model by Abhishek Thakur. Understand the model's architecture, training, and application in just 1-2 hours.
Learn the basics of Decision Trees in Machine Learning, including regression, gini, entropy, and squared loss, in less than an hour with Abhishek Thakur.
Learn the basics of tokenization in Natural Language Processing in less than an hour with Abhishek Thakur. Ideal for beginners in NLP.
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