The best way to learn machine learning is by coding. We start the series of workshops to learn machine learning by writing code in python. Logistic regression
Support Vector Machine
Students will follow instructors to implement machine learning algorithms, models, simple applications from scratch through hands on coding labs. And learn about the real word application of different machine learning models with explanation of the necessary principles behind it.
The aim of this workshop is to simplify the inherent concepts of Machine Learning and learn hands-on through building python code and understand applications of the algorithms.
In the second of series, we will learn the following three algorithms:
- Session 1: July 10th 9am-12pm PST
- 3 Hours/ 1 Session
- Lectures / hands-on code labs
- Live session and real time interaction
- Watch session replay anywhere any time
Check the content tab for full course outlines.
WHO SHOULD LEARN:
Developers, data scientists, students.
Familiarity with Python, or willingness to learn it quickly
Basic familiarity with machine learning
If you miss the live session or want to learn again, you can watch recorded sessions any time, along with interactive learning tools, slides, course notes
Machine Learning with Code Series 1 - Linear Regression, watch the session replay here
Module 1: Logistic regression
Module 2: Support Vector Machine
Module 3: Random forest
machine learning practitioner, machine learning engineer in residence in AICamp