This program will benefit:
- Data Engineers.
- Data Scientists.
- Machine Learning Engineers.
- Integration Engineers.
- Architects.
Day 1: Understanding the Big Picture
- GCP Introduction.
- Environment for Experiments.
- Introduction to Random Forests
- Random Forest Deep Dive.
- Feature Importance, Tree Interpreter
Day 2: Getting holistic view: Architectures and Pipelines.
- Machine Learning APIs.
- Performance, Validation and Model Interpretation.
- Key Statistics.
- Extrapolation and RF from Scratch.
- Data Visualization.
Day 3: Acquiring & Preparing Data
- Data Products and Live Coding.
- RF from Scratch and Gradient Descent.
- Regularization, Learning Rates and NLP.
- More NLP and Columnar Data.
Day 4: Complete Rossmann, Ethical Issues
- Gradient Descent and Logistic Regression.
- Feature Engineering.
- Machine Learning using Scikit Learn.
- Supervised Machine Learning.
- Un-Supervised Machine Learning.
Day 5: Spark Introduction
- Spark SQL.
- Spark Machine Learning.
- Introduction to Deep Learning.
- Artificial Neural Network.
- TensorFlow API.
Language: English.
Place: London – UK.
Venue (TBC): Radisson Edwardian Sussex Hotel (Address: 19-25 Granville Place, Marylebone, London W1H 6PA – UK).
