ONLINE CONFERENCE - oneAPI DevSummit for AI 2022 - 12 July 2022

 

Are you a researcher, data scientist, or developer looking to build AI applications and seamlessly scale them from edge to cloud?

Join us for a day of discovery with renowned industry experts who will demystify the latest technologies, tools, trends, and techniques.

• Drop-in optimizations across popular frameworks and libraries for deep learning, machine learning, and data analytics—TensorFlow, PyTorch, scikit-learn, and more.
• Intel AI tools for end-to-end development—data preparation, training, inference, deployment, and scaling
• A hands-on workshop on dinosaur hunting (yes, you read that correctly)
• Opportunities to attend tech talks and panel discussions with tech experts from Google, Accenture, RedHat, JD.COM, Aible and more.

Expand your view and vision across the AI technology spectrum to get started on your development journey or supercharge your existing one.

Preview full agenda

Register

Primary Supervised Learning Algorithms Used in Machine Learning by Kevin Vu via @kdnuggets

In this tutorial, they are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.

This is really useful and worth a bookmark or printout.

“Semantic-free” is the future of Business Intelligence by Andrew Taft via @FlexItAnalytics

 Metrics and universal semantic layers enable semantic-free BI.

I found this very interesting and worth reading so you can think about the future.

WEBINAR: Top 3 ways IMDb’s third-party data enhances user engagement and experience - 30 June 2022

 

Top 3 ways IMDb’s third-party data enhances user engagement and experience You're invited! In this webinar, AWS joins hands with IMDb to showcase the top 3 ways third-party data improves user engagement and experience. Featuring step-by-step demonstrations and technical use cases, experts in the Media and Entertainment industry share tips on captivating audiences while reducing churn rates. Register now   THURSDAY, JUNE 30     North America 2:00 PM EDT | 11:00 AM PDT Length: 60 minutes   You will learn: How third-party data provides additional context to first-party data Solutions to common data analytics challenges Ways that IMDb’s metadata on more than 12M+ cast and crew and 8M+ movie and TV titles can help you create better experiences for your users How easy-to-learn AWS services, such as Amazon Neptune and Amazon Personalize, provide additional resources to improve customer satisfaction How to find, discover, and use third-party data and APIs from AWS Data Exchange Who should attend: BI managers and executives, product managers, Heads of Marketing, CMOs, Chief Data Officers, data scientists *The views and opinions of IMDb and their presenters are their own and do not necessarily reflect the positions of AWS Register now

WEBINAR: Apache Iceberg: An Architectural Look Under the Covers - 28 June 2022

 

Apache Iceberg: An Architectural Look Under the Covers       REGISTER

Tuesday, June 28, 2022   9:00 AM PT | 12:00 PM ET

Speaker

Jason Hughes Director of Product Management Dremio

Data Lakes have been built with a desire to democratize data - to allow more and more people, tools, and applications to make use of data. A key capability needed to achieve it is hiding the complexity of underlying data structures and physical data storage from users. The de-facto standard has been the Hive table format, released by Facebook in 2009 that addresses some of these problems, but falls short at data, user, and application scale. So what is the answer? Apache Iceberg. Apache Iceberg table format is now in use and contributed to by many leading tech companies like Netflix, Apple, Airbnb, LinkedIn, Dremio, Expedia, and AWS. Join Jason Hughes, Technical Director at Dremio, for this webinar to learn the architectural details of why the Hive table format falls short and why the Iceberg table format resolves them, as well as the benefits that stem from Iceberg’s approach.

You will learn:   The issues that arise when using the Hive table format at scale, and why we need a new table format     How a straightforward, elegant change in table format structure has enormous positive effects     The underlying architecture of an Apache Iceberg table, how a query against an Iceberg table works, and how the table’s underlying structure changes as CRUD operations are done on it     The resulting benefits of this architectural design

WEBINAR: Arduino Portenta X8: Superpower Your Linux Applications with Real-Time Execution - 28th June 2022

 

Webinar Series Register Today Date: Tuesday, June 28, 2022 Time: 8:00 am PDT | 11:00 am EDT | 6 pm EEST Duration: 60 minutes SUMMARY In this IoT Central webinar, learn about the new and powerful Arduino Portenta X8. See a demonstration on how this industrial-grade SOM with Linux OS (preloaded) is capable of running device-independent software by leveraging its modular container architecture.  See how the Portenta X8 performs by combining the two best approaches: the flexibility of Linux and real-time applications through the Arduino environment. By using the X8 with a Portenta Max Carrier (or other compatible carriers) attendees will see how the X8 creates a  powerful Linux computer, capable of controlling sophisticated industrial equipment and machinery.  In this webinar will, you will also learn about:  Real-world applications of Arduino Pro products How to deploy a web server over Wi-Fi How to implement a data logging and gateway for remote monitoring via the Arduino IoT Cloud Presenter: Andrea Richetta, Head of Customer Success at Arduino Pro Register Today

Explaining negative R-squared by Tan Nian Wei via @TDataScience

Why and when does R-squared, the coefficient of determination, go below zero?

Interesting and good to be able to confirm it is how I thought it was.

Python Single Responsibility Principle by/via PYTHONTUTORIAL.NET

In this tutorial, you’ll learn about the single responsibility principle and how to implement it in Python.

This was very clear and easy to use. I really think you should use this website to learn more about Python.

21 Cheat Sheets for Data Science Interviews by Nate Rosidi by @kdnuggets

This article has researched and presents the best data science cheat sheets from around the internet, so you don’t have to do it yourself.

Very useful whether you are working as a Data Scientist already or not. Definitely some worth a bookmark, saving in Evernote or a printout.

Data Science Projects That Will Land You The Job in 2022 by Natassha Selvaraj via @kdnuggets

Project ideas and portfolio tips from a self-taught data scientist.

Some great ideas for you to prove that you know what you are talking about.

Thorough examination of bias and variance in the linear regression by Arnaud Capitaine via @TDataScience

The connection between probability definition and machine learning explanation.

Great guide and clear explanation.

Parallelization with MultiProcessing in Python by Vatsal via @TDataScience

Run your data science tasks in parallel to speed up computation time.

Great examples with code to make is easier to do this with your code.

WEBINAR: Future-Ready Analytics | Make Data Everyone’s Business - 9 June 2022

 

Exclusive Virtual Event   Future-Ready Analytics     Register Now

Cloud tech + self-service analytics + even bigger data = even more change. So, how do you keep up when the future is arriving at breakneck speed?   At this exclusive 90-minute virtual event, Alter.Next: Future-Ready Analytics, you'll hear about the critical opportunities that lie ahead for anyone using data: The latest insights from Dr. Michio Kaku, Co-Founder of String Field Theory, Bestselling Author and Professor of Theoretical Physics   How Inchcape has taken their analytics enterprise-wide   New enhancements in automated analytics and cloud-native data engineering from Alteryx     Webinar Details   Date   June 9, 2022   Time   9-10:30am Pacific   Save My Spot   Speakers     Dr. Michio Kaku Bestselling Author, Theoretical Physicist, Futurist, and Popularizer of Science     Boris Evelson Vice President, Principal Analyst Forrester Research     Trevor Schulze CIO Alteryx     Ram Thilak Chief Data Scientist Inchcape     Ian Monk Product Manager ERP & Finance Systems Inchcape     Suganthi Shivkumar Regional Vice President, Asia Alteryx     Jay Henderson SVP Product Management Alteryx     Tiffany Apczynski VP Corporate Social Responsibility Alteryx     Simon Dudley Managing Consultant KBBS     Adam Wilson SVP Product Engineering Alteryx     Heidi Badgery ANZ Managing Director Alteryx

WEBINAR: How Enel Group built a data mesh architecture with Dremio and Agile Lab - 9 June 2022

 

How Enel Group built a data mesh architecture with Dremio and Agile Lab       Register Now             Thursday, June 09, 2022   11 AM CET         Speakers         Jeremiah Morrow Partner Solution Marketing Director Dremio Nicolò Bidotti Big Data Architect Agile Lab         Achille Barbieri Senior Project Manager ENEL         Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases, yet they are challenged with providing access to all of their data across business units, regions, and cloud environments. In this webinar, learn how Enel Group worked with Agile Lab to implement Dremio as a data mesh solution for providing broad access to a unified view of their data, and how they use that architecture to enable a multitude of use cases. In this session, you will learn: How the silos development led to challenges with data growth, data quality, data sharing, and data governance. An example of datamesh paradigm adoption. How Agile Lab and Enel Group used Dremio to connect their disparate organizations across geographies and business units Leveraging Dremio for data governance and multi-cloud with Arrow Flight.