Professor Py: AI Foundations

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120 videos

Learn AI from the ground up — with Python. Professor Py teaches the essentials behind modern AI and machine learning using simple explanations and clean Pyth...

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LightGBM Quantile Regression in Python Predict Ranges, Not Just Points

Mixture of Experts in Python Route Inputs to Tiny Expert Networks

GraphSAGE vs GCN with PyTorch Geometric Learn Better Graph Embeddings in Python

Target Encoding with category_encoders in Python Handle High-Cardinality Categories

Optuna for XGBoost in Python Tune Faster with Pruning

Evidently AI Drift Reports in Python Find Data Changes Before Retraining

Projection Heads in PyTorch Train Better Embeddings in Python

Sparse Autoencoders in PyTorch Learn Interpretable Neural Features in Python

Decision Curves with scikit-learn in Python Choose Models by Net Benefit

Cost-Sensitive Classification in Python Optimize for Error Cost

AdamW vs L2 in PyTorch Fix Weight Decay in Python

Implicit ALS in Python Build a Recommender from Clicks

LambdaMART vs Pointwise Ranking Train Better Rankers with LightGBM in Python

Maximal Marginal Relevance in Python Stop Repeated Search Results

Abstain on Uncertain Predictions in Python Reject Option Classification

Label Smoothing in PyTorch Fix Overconfident Models in Python

Candidate Generation vs Reranking in Python Fix Retrieval Quality

Covariate Shift vs Concept Drift in Python What Broke Your Model

Build a Graph Neural Network in Python with PyTorch Geometric

Isolation Forest Detect Outliers with scikit-learn in Python

BPR Loss in PyTorch Train Recommenders on Implicit Feedback

CatBoost in Python Better Models for Categorical Features

XGBoost in Python Build a Strong Tabular Baseline

Triplet Loss vs Contrastive Loss Train Better Embeddings with PyTorch in Python

LightGBM Ranker in Python Improve Search Result Ranking

BM25 in Python Better Text Search Than TF-IDF with rank_bm25

Temperature Scaling Fix Overconfident Probabilities with PyTorch in Python

Detect Data Drift in Python Know When to Retrain Your Model

Cold Start Recommendations Rank New Users and Items in Python

Class Weights vs Resampling Fix Imbalanced Classification with scikit-learn in Python