Coursera Curriculum

Bangkit Machine Learning Path 2021

This repository contains answers to some exercises from my Coursera.

Disclaimer on : I keep it on Github for personal use, namely for self-study. not to be misused

1.) TensorFlow: Data and Deployment

• Browser-based Models with TF.js
• Device-based Models with TF.lite
• Data Pipelines with TensorFlow Data Services
• Advanced Deployment Scenarios with TensorFlow

2.) DeepLearning.AI TensorFlow Developer

• Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
• Convolutional Neural Networks in TensorFlow
• Natural Language Processing in TensorFlow
• Sequences, Time Series and Prediction

3.) Mathematics for Machine Learning

• Mathematics for Machine Learning: Linear Algebra
• Mathematics for Machine Learning: Multivariate Calculus
• Mathematics for Machine Learning: PCA

4.) Structuring Machine Learning Projects

• Week 1
• Week 2

5.) Google IT Automation with Python

• Crash Course on Python
• Using Python to Interact with the Operating System
• Introduction to Git and GitHub
• Troubleshooting and Debugging Techniques
• Configuration Management and the Cloud
• Automating Real-World Tasks with Python

6.) Google IT Support

• Technical Support Fundamentals
• The Bits and Bytes of Computer Networking
• Operating Systems and You: Becoming a Power User
• System Administration and IT Infrastructure Services
• IT Security: Defense against the digital dark arts