Understand how to get started with any machine learning project using Databricks AutoML
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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.
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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.
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Deployment == Return on investment. This session looks to show you how to do that for Machine Learning.
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Being data-driven is all about making decisions based on insights generated using data.​
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Being data-driven is all about making decisions based on insights generated using data.​
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Come and see the next steps in the evolution of Flyway.
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How to Choose an ML Platform
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In this short session we will go through the pitfalls, lessons learnt and best practices when building your AI consultancy practice.
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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.
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A variety of 5 minute sessions to include:
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SQL Server is a complete Machine Learning platform - learn a complete process to use it from data ingestion to model deployment.
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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.
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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.
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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!
That session explains how to put AI algorithms on Edge devices, with feedbacks from a computer vision project
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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.
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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.
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