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AutoML: An Introduction To Get You Started Gavita Regunath
Understand how to get started with any machine learning project using Databricks AutoML
Azure Machine Learning for everyone Alpa Buddhabhatti
The Key takeaway is that attendees will get ideas about the skills and knowledge required to recognize an opportunity for a machine learning application and seize it. Also attendee gets to know well about Azure Machine Leaning.
The video is not available to view online.
Data Science and Analytics: Real-World Experience from Diverse voices in the field Jennifer Stirrup (She/Hers)
In this session, we will cut through the marketing buzzwords to share experiences, tips, and tricks on how to be successful with Data Science and Analytics in the real world. Tune in to hear the team share real-world experience and get takeaways from industry insiders on real projects with impact. We will also discuss the ethics and fairness of Data Science and Analytics projects and how we can be more inclusive from a technology, people, and process standpoint.
The video is not available to view online.
Docker & Kubernetes for the Data Scientist Terry McCann
Deployment == Return on investment. This session looks to show you how to do that for Machine Learning.
Five steps to create a data-driven culture Justin Langford
Being data-driven is all about making decisions based on insights generated using data.​
The video is not available to view online.
Five steps to create a data-driven culture Justin Langford
Being data-driven is all about making decisions based on insights generated using data.​
The video is not available to view online.
Flyway: An Evolution in Database Deployments Grant Fritchey
Come and see the next steps in the evolution of Flyway.
The video is not available to view online.
How to Choose an ML Platform Ryan Dawson
How to Choose an ML Platform
The video is not available to view online.
How to Run a Successful AI Project Robin Lester
In this short session we will go through the pitfalls, lessons learnt and best practices when building your AI consultancy practice.
Hunting for fraud with Benford's law in R Thomas Hütter
In this lightning talk I'll demonstrate how to apply the R implementation of Benford's law (which actually is not about crime or fraud) to identify possibly fraudulent invoice or other data.
The video is not available to view online.
Lightning Talk - Friday Various Speakers
A variety of 5 minute sessions to include:
Machine Learning on the SQL Server Platform Buck Woody
SQL Server is a complete Machine Learning platform - learn a complete process to use it from data ingestion to model deployment.
Real-world AI Architectures Ben Wright-Jones
In this session we will share our experiences and examples of real-world AI scenarios and architectures from around the globe, covering a variety of use cases across different industries.
What makes Databricks a powerful Machine Learning tool? Liam Doyle
This session is designed to explore some of the powerful features that made Databricks the leader in the Gartner 2021 Quadrant for Data Science and Machine Learning.
The video is not available to view online.
A journey through the Tidyverse Thomas Hütter
An introduction to the philosophy of tidy data and the collection of R packages called Tidyverse that help to treat your data appropriately. Including lots of demos from ingesting to cleaning to visualizing your data.
AI For Good: Cognitive Services Vision Alicia Moniz
Curious about Visual Recognition and Object Detection in Azure? Are you wondering what the difference is between the Computer Vision API and the Custom Vision API? Get up Speed with the Vision API in less than an hour!
AI on Edge, encounter between Data Science and IoT Jean-Pierre Riehl
That session explains how to put AI algorithms on Edge devices, with feedbacks from a computer vision project
The video is not available to view online.
Analyzing database with XE and Query Store data using R / Py Tomaž Kaštrun
DBA and Data scientists should work together! Analyzing data gathered with XE and Query Store data using R or Python for better database insight and discovering hidden patterns.
The video is not available to view online.
Artificial Intelligence, Machine Learning and Deep Learning Buck Woody
What is the difference between Artificial Intelligence, Machine Learning and Deep Learning and how can each be used? Join Buck Woody cover simple, clear explanations for these technologies, how they can be applied.
Azure AI, Power new possibilities for every organization Lindsey Allen
AI and data is at the center of the digital feedback loops. We have invested in a comprehensive portfolio of AI tools, infrastructure and services. Come to this session to get an update of Azure AI with demos.
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