TS-5: Automatic for the people
Abstract: In this episode we focus on the idea of a one stop shop for time series analysis: in the last few years, several packages have appeared that position themselves in such a fashion.We will take them for a test drive and have a look at how close they come to fulfilling the promise.
Видео TS-5: Automatic for the people канала Abhishek Thakur
Видео TS-5: Automatic for the people канала Abhishek Thakur
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Building a summarizer using XGen-7b: Fully open source LLM by Salesforce
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
Talks S2E6 (Louise Ferbach): Deep Learning For Survival Analysis
TS-4: Sales and demand forecasting
TS-9: Hybrid methods for time series
Kaggle's 30 Days Of ML (Day-12 Part-2): Handling Categorical Variables
Talks # 1:Andrey Lukyanenko - Handwritten digit recognition w/ a twist & topic modelling over time
Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6
Data representations for neural networks
Talks # 3: Lorenzo Ampil - Introduction to T5 for Sentiment Span Extraction
How to create GPT-powered conversational bot for any website
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1)
Kaggle's 30 Days Of ML (Competition Part-4): Hyperparameter tuning using Optuna
Kaggle's 30 Days Of ML (Day-11): Machine Learning Model to Predict House Prices (Intro to ML Ends)
Panels # 1: What it takes to become a Quadruple Kaggle Grandmaster?
Best computer vision competitions on Kaggle (for beginners)
Talks # 4: Sebastien Fischman - Pytorch-TabNet: Beating XGBoost on Tabular Data Using Deep Learning
Kaggle's 30 Days Of ML (Day-13 Part-2): Cross-validation
Making Transformers go brum, brum, brum 🏎 (with Lewis Tunstall)