Chapter 16 Additional Resources

Introduction to Machine Learning and Deep Learning

Classical machine learning

• Histogram of Oriented Gradients (HOG)
• In-Depth: Support Vector Machines
• A Tour of Machine Learning Classifiers Using Scikit-Learn in Jupyter

Deep learning

• Single layer neural networks and gradient decent intro

• "Python Machine Learning 2nd Edition" by Sebastian Raschka

• "Deep Learning with Python" by François Chollet

Python NumPy library

• NumPy tutorial
• Collection of resources for NumPy and SciPy

Tensors

• Introduction to PyTorch tensors in Jupyter

The Data Science Virtual Machine

Jupyter and JupyterHub

• IPython: Beyond Normal Python
• JupyterHub on the Linux Data Science Virtual Machine (Video)

Azure Machine Learning

• Azure Machine Learning service example notebooks
• The Azure Machine Learning Service: Part 1 Introduction (Video)
• Azure Machine Learning service: Part 2 Training a Model (Video)

IoT Devices and the Intelligent Edge

• Getting started with the MXChip IoT DevKit
• NVIDIA Deepstream + Azure IoT Edge on a NVIDIA Jetson Nano

Databricks

• Azure Databricks = Azure + Spark + Machine Learning (Video)
• Azure ML with Auto ML install on Databricks

Datasets

• CAVIAR
• MNIST
• Cat faces