Archives

2022

• Apr 20 GCP Data Engineer preparation - Questionset2 (Official sample questions)
• Apr 11 GCP Data engineer preparation - Questionset1
• Jan 12 Rnn

2021

• Oct 12 Case_studies_2
• Oct 7 CNN - Case studies (1)
• Oct 3 Model_application
• Sep 25 Structuring_ml_projects_2
• Sep 22 Structuring_ml_projects

2020

• Oct 2 Wk11 - Application Example: Photo OCR
• Oct 2 Wk10 - Learning with Large Datasets
• Sep 27 Wk9_part2 - Recommender Systems
• Sep 20 Wk9_part1 - Anomaly Detection
• Sep 16 Wk8 - Unsupervised Learning and Principle Component Analysis
• Sep 14 Wk7 - Support Vector Machine
• Sep 8 Wk6 - Advice for Applying Machine Learning
• Sep 4 Wk5 - Neural Networks (Learning)
• Sep 1 Wk4 - Neural Networks (Representation)
• Aug 31 Wk3 - Logistic Regression and Regularization
• Aug 26 Wk2 - Linear Regression with Multiple Variables, Octave/Matlab Tutorial
• Aug 20 Wk1 - Introduction to ML
• Aug 19 6. Language
• Aug 19 5. Neural_networks
• Aug 19 4. Learning
• Aug 19 3. Optimization
• Aug 19 2. Uncertainty
• Aug 19 1. Knowledge
• Aug 17 0. Search
• Jun 4 Datatype
• Mar 23 Basic Programming in R
• Mar 23 Data Wrangling and Basic Plotting
• Mar 16 Indexing the data
• Mar 15 Vector sorting
• Mar 15 Vectors in R
• Mar 15 R_Intro