Machine Learning

Supervised Learning

• Overview of ML Pipelines 
• Loss functions for machine learning (classification, regression)
• How to tune learning rate for machine learning / deep learning?
• What is Confusion Matrix?
• Backprop in Practice

Tree-bsaed models

• How to incorporate Decition Tree in Random Forest hyperparameter tuning in sklearn?

Unsupervised Learning

• Self-Organizing Maps (SOM)
• Audoencoder
• VAE (Variational AutoEncoder)

Time Series Analysis

• A Gentle Introduction of Important Terms in Time Series Analysis
• Preparing windowed dataset for time series forecasting
• How to forecast time series in Python with ARIMA?
• Pandas time series frequency - abbreviaitons for microseconds, milliseconds, seconds

Recommender Systems

Tensorflow Recommenders (TFRS)

• Tensorflow Recommenders 1 - How to retrieve candidate items?
• Tensorflow Recommenders 2 - How to use contextual features for building models?
• Tensorflow Recommenders 3 - How to rank candidate items?
• Tensorflow Recommenders 4 - Multi-task learning: How to train retrieval and ranking models together?

DeepCTR

• Hello World example

Evaluation Metrics

• Online Business Metrics

Industry Implementations

• LinkedIn Recommender Systems

Training

• How to tune learning rate for machine learning / deep learning?

MLOps 

• MLOps: From Model-centric to Data-centric AI

Others

• Machine & Deep Learning for Network Management: An Overview with Benchmarks
• How to mount my Google Drive in Colab?
• What is and how to use tf.keras.backend.clear_session()?
• LLM dictionary

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