Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container
Open Data Science Conference (ODSC)
The leading applied data science and AI conference, with 4 global events and nearly 180 meetups worldwide every year.
In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.
Here's a brief overview of quantitative finance methods used for pricing options and how deep learning techniques can be used for developing fast option prices.
Between its ability to perform data analysis and ease-of-use, here are 5 reasons why SQL is still ideal for new data scientists to get into the field.
It’s time: you’ve got a great model, you’ve got it validated with customers, tested against use cases, all packaged up and ready to go. But there’s a problem: how on earth do you hook up that GPU?
Let’s take a closer look at some of the companies that are recruiting for data science jobs right now and what kind of jobs they're offering.
Like every job path, growing is necessary to advance your career. Here are 5 reasons why it's important to always keep learning in data science and AI.
Learn about data structures, control structures, functions, models, file handling, and other basics of coding with Python in this upcoming programming primer, included in the Mini-Bootcamp Pass.?
Organizations must first understand AI’s risks to comprehend how it may endanger their business. Here are five of the most significant issues they’re at risk of without a careful implementation strategy.
After conducting 154 pages of tests, a paper has concluded that GPT-4 could be an early version of an artificial general intelligence system.
A recent Twitter thread has shed light on the various exciting and intriguing things people are doing with AI thanks to GPT-4.
The U.S. Chamber of Commerce, a leading business lobbying group, made headlines recently by calling for the regulation of artificial intelligence.
A team of researchers has made a major breakthrough in the detection of breast cancer using an artificial intelligence program, making it more efficient and affordable.
As we near the end of Women's History Month, we'd like to spotlight a number of influential women in AI who have spoken at past ODSC conferences.
From conversational AI to hyper-productive NLP and more, here are 7 helpful sessions on NLP coming to ODSC East this May.
At ODSC Europe this June, our expert speakers will cover a wide range of topics, tools, and techniques that data scientists of all levels can apply in their work. Check a few of them out here.
Join this talk to learn about the latest advancements in data engineering, GitHub, and data visualization, and how they can improve your data science career. Don’t miss out on this opportunity to expand your knowledge in AI, machine learning, deep learning, NLP, and reinforcement learning!
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Upcoming Webinars:
Tue, Apr 4, 2023, 12:00 PM - 1:00 PM EDT
This engaging session starts by elaborating on the critical role of Federated Learning in today's data-driven landscape. The groundbreaking idea will be explored that allows multiple organizations to train machine learning models on decentralized data, providing valuable insights without exposing sensitive information. By leveraging this approach, businesses can unlock the true potential of collaborative AI while maintaining robust security standards.
Wed, Apr 12, 2023, 12:00 PM - 1:00 PM EDT
This webinar will provide a practical introduction to time series analysis and forecasting, from basic concepts to advanced machine learning techniques.??
Fri, Apr 28, 2023, 1:30 PM EDT
This lightning interview will feature Daphne Koller, CEO and Founder of insitro, a machine learning-driven drug discovery and development company. Daphne is also co-founder of Engageli, was the Rajeev Motwani Professor of Computer Science at Stanford University, where she served on the faculty for 18 years, the co-CEO and President of Coursera, and the Chief Computing Officer of Calico Labs.
Sales Associate at American Airlines
1 年Thanks for sharing