Skip to main content

Breaking into AI and Machine Learning

Full-Day Tutorial (6 hours)

Through a series of hands-on projects, you too can gain the skills necessary to start applying AI/ML to your own problems.

Timetable

8:30 a.m. – 4:30 p.m. Monday 24th

Room

F-,E- & D-Rooms

Artificial Intelligence (AI) Other

Audience

Testers, Developers, Product Managers, DevOps Engineers, Machine Learning Engineers

Key-Learnings

  • Foundations of AI and Machine Learning and Predictive Modeling
  • Computer Vision Techniques
  • Natural Language Processing

Are you a software engineer or tester who would like to break into AI and machine learning (ML), but don't know how to get started? One of the best ways to get into ML is by designing and completing small projects. Although you will ultimately need to understand the fundamentals of AI/ML, there's no reason why you can't learn foundational terms, concepts and principles as you put them into practice.

Join Tariq King as he introduces you to the world of applied machine learning. Tariq will guide you through a series of ML projects end-to-end, enabling you to gain experience with creating and loading training data, summarizing and visualizing the datasets, evaluating various ML algorithms, and using the trained models to make predictions. Leave the session motivated and equipped to start using ML in your own projects. This is an introductory session for participants of all skill levels, so you don't need to know how the algorithms work, be a python programmer, or ML expert to get started.

Participants will use a variety of tools and frameworks to learn how to apply AI and machine learning techniques including machine vision, reinforcement learning, and natural language processing. Set up time will be kept at a minimal by leveraging Jupyter Notebooks in the cloud.

Related Sessions

Virtual Pass session
Thu, Nov 27 • 10:45 a.m. – 11:30 a.m.
Room F3 - Track 3: Talks

25-minute Talk

Artificial Intelligence (AI) Collaboration & Communication

Wed, Nov 26 • 2:45 p.m. – 4:45 p.m.
Meet @ Hotel Entrance - Outdoor Session

Bonus Session

Mental Health & Self Care Other

Virtual Pass session
Thu, Nov 27 • 5:00 p.m. – 6:00 p.m.
Room F1+F2+F3 - Plenary

45-minute Keynote

Artificial Intelligence (AI) Leadership Testability