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Analytics Vidhya
APRIL 12, 2024
His addition to the board looks promising as Amazon […] The post AI Luminary Andrew Ng Joins Amazon’s Board appeared first on Analytics Vidhya. Ng comes with great expertise in the field, honed through his roles at Google and Baidu.
Analytics Vidhya
MAY 3, 2024
LMSYS and Kaggle have joined forces for an epic competition: predicting human preferences with machine learning! What is the AI Challenge by […] The post Join the Exciting $100,000 AI Challenge by LMSYS and Kaggle! Winners walk away with a cool $100,000. Are you up for the challenge?
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Analytics Vidhya
JULY 3, 2023
Introduction Database people are very much familiar with JOINS. When we want to fetch data from multiple tables we often join the tables based on Primary Keys and Foreign Keys. Let’s learn simple techniques to perform join operations in MongoDB in this article.
Analytics Vidhya
DECEMBER 21, 2023
As we delve into this partnership, we uncover the steps […] The post Microsoft Copilot and Suno Join Forces for AI-Generated Musical Magic appeared first on Analytics Vidhya.
Speaker: John Mansour
Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. If you're looking to advance your career in product management, there are more options than just climbing the management ladder.
Analytics Vidhya
MAY 29, 2022
Introduction on SQL Join The data required for a data-analysis task usually comes from multiple sources. SQL JOINs are the tools to bring this data together. SQL JOIN is the best tool to combine data from multiple resources! The post 3 Most Frequently Asked SQL Join Interview Questions? In this article, I am […].
Analytics Vidhya
JUNE 1, 2022
The post An Introduction to Joins in MySQL appeared first on Analytics Vidhya. It is a Relational Database Management System that depends on Structured Query Language, which is ideal for both small and large applications. This free tool is one of the best […].
Speaker: Jason Tanner
Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time.
Speaker: David Bard, Principal at VP Product Coaching
Join us for an enlightening session to empower you to lead your team to greater heights. In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
Join us for a forward-looking exploration of the future data landscape! Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.
Speaker: Joe Heather, Deliverect GM (UK&I) & Noah Hayes, Deliverect GM (US&CA)
With growing internet penetration and the proliferation of smartphones, consumers' purchasing habits have unsurprisingly evolved. They now demand quick, convenient, and seamless shopping experiences, which both FMCG and Q-commerce sectors strive to provide.
Speaker: DeAnna McIntosh, Retail Growth Strategist
Join DeAnna McIntosh, Retail Growth Strategist, for this idea-sparking session on how to reimagine and reinvigorate the retail business model. We must still find ways to be innovative in order to remain at the forefront of our customer's minds.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order.
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