Gaussian Processes
In this video, we explore Gaussian processes, which are probabilistic models that define distributions over functions, allowing us to quantify uncertainty in predictions by combining prior knowledge with observed data to make robust predictions even with limited samples. Related Videos ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Bayesian Optimization: • Bayesian Optimization Hyperparameters Tuning: Grid Search vs Random Search: • Hyperparameters Tuning: Grid Search vs Ran... The Kernel Trick: • The Kernel Trick Cross-Entropy - Explained: • Cross-Entropy - Explained Dropout - Explained: • Dropout in Neural Networks - Explained Overfitting vs Underfitting: • Overfitting vs Underfitting - Explained Why Models Overfit and Underfit - The Bias Variance Trade-off: • Bias-Variance Trade-off - Explained Least Squares vs Maximum Likelihood: • Least Squares vs Maximum Likelihood XGBoost Explained in Under 3 Minutes: • XGBoost Explained in Under 3 Minutes Contents ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 01:02 - Gaussian Processes Mathematics 02:54 - Prior Distribution 03:36 - Posterior Distribution 04:28 - Kernel Functions 06:29 - Combining Kernels 07:50 - Practical Example 08:42 - Summary 09:08 - Outro Follow Me ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic / datamlistic 📸 Instagram: @datamlistic / datamlistic 📱 TikTok: @datamlistic / datamlistic 👔 Linkedin: / datamlistic Channel Support ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon: / datamlistic ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #machinelearning #datascience #gaussian #gaussianprocess #statistics
Gaussian Processes
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