Artificial Intelligence: Introduction to Machine Learning

Description

It's been around two years since information cognitive technology became important and valuable for tech and near-tech businesses. Now we are in the silver age of AI and this time it's not only on an academic level but also in real life.

On October 26, let's talk about Machine Learning - one of the touchable forms of AI (Artificial Intelligence).
There will be 2 topics, one for tech enthusiasts and beginners and another for those who already got their feet wet in Machine Learning.

BRIEF INTRODUCTION TO MACHINE LEARNING - BEGINNERS (40 minutes)
1. What is Machine Learning?
2. Types of Learning
3. Typical problems
4. Typical tasks
5. Tools and technology
6. ML Models
7. Case study, micro-workshop

BUILDING MACHINE LEARNING PIPELINES - INTERMEDIATE (30 minutes)
1. What is a machine learning pipeline?
2. Typical components of the pipeline
3. Building the workflow
4. Deploying to production.

Speaker Description:
Vladimir Stajilov is a professional IT Manager and entrepreneur combining both product management skills and software engineering skills, that's a win-win situation.
Also, he does Machine Learning as side projects and research.
His agency delivers Mobile, Web, BI and Enterprise solutions for business customers.