Understand how to get started with any machine learning project using Databricks AutoML
Deployment == Return on investment. This session looks to show you how to do that for Machine Learning.
In this short session we will go through the pitfalls, lessons learnt and best practices when building your AI consultancy practice.
A variety of 5 minute sessions to include:
SQL Server is a complete Machine Learning platform - learn a complete process to use it from data ingestion to model deployment.
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.
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.
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!
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.
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.
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
Come learn how you can convert you data into structured formats, apply machine learning skills and index it to make it easy to find information and relationships that can save you time and money.
If AI is on the cards in your business you might need to make a recommendation as to whether your company should Buy or Build. Come to this session to work out the moving parts to turn "It Depends!" into an answer.
We will see how to construct a cloud-first architecture based on serverless data analytics. We will look at specific challenges and cost saving strategies, to produce a reliable, scalable and cost effective solution!
Learn how Azure supports interactive, exploratory notebooks (e.g. Jupyter) for data processing and experimentation across a range of scales from simple single-computer work up to massively parallel Databricks clusters.
Come and join us this session to unleash the power from your data as we introduce Machine Learning Services for Python and R across the SQL Platform.
How to understand where bias lies, how to collect data and the impact of bias and ethical considerations in your data science solutions.
In this session, we will discover how to utilize common machine learning approaches for daily SQL Server DBA tasks.
Wanted to join with open-source projects but don’t know how? This quick session will give you all that you need to start doing so.
In this session, we will discuss the basics of IA and how we can apply it in our business using the Azure Machine Learning Services
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