AI, Data Science & Cloud Certificates from Google, IBM & Meta
MIT Sloan AI Adoption: Build a Playbook That Drives Real Business ROI
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off your first 3 months — limited time.
Unlock All Certificates
Explore common machine learning algorithms and practices through industry-specific examples in this informative conference talk. Gain insights into choosing the right algorithm for problem-solving, understand the machine learning process, and learn about various types of algorithms including classification, regression, unsupervised learning, reinforcement learning, and natural language processing. Discover Azure Machine Learning solutions for automating time-consuming tasks without coding. Delve into machine learning challenges, the importance of algorithm selection, and valuable references for further learning.
Syllabus
Intro
Agenda
What is Machine Learning (ML)?
Machine Learning Challenges
Machine Learning Process
What is an Algorithm?
Machine Learning Algorithms
Classification
Regression
Unsupervised ML Algorithms
Reinforcement Learning
Natural Language Processing (NLP)
How to choose the right Algorithm?
Azure ML Tools
References
Taught by
PASS Data Community Summit