How LLMs are Transforming Bot Building, Botnet Detection at Scale, and Declarative ML for Engineers
How Large Language Models are Transforming Bot Building and Making Them More Useful for Everyone
The latest wave of innovation around large language models (LLMs), such as ChatGPT and GPT-4, is rapidly transforming the world of bot building. Here’s how.
5 Industries Using Synthetic Data in Practice
Here’s an overview of what synthetic data is and a few examples of how various industries have benefited from it.
Botnets Detection at Scale — Lessons Learned From Clustering Billions of Web Attacks Into Botnets
Read more to learn about the data flow, the challenges, and the way we get successful results of botnet detection.
How to Use Machine Learning for Algorithmic Trading
Machine learning has proven to be a huge boon to the finance industry. Here, we’d like to go a bit deeper and specifically examine the role of machine learning in algorithmic trading, including portfolio optimization and pattern recognition.
Hands-on Data-Centric AI: Data Preparation Tuning — Why and How?
Going into developing machine learning models with a hands-on, data-centric AI approach has its benefits and requires a few extra steps to achieve.
4 Reasons Why Declarative ML Makes Sense for Engineers
In this blog post, we’re going to cover Ludwig, an open-source declarative ML framework, and four reasons why this approach makes sense for every engineer interested in ML.
Join us on May 11th for the ultimate Generative AI hackathon, where you’ll have the opportunity to showcase your skills, learn from other experts in the field, and create something truly unique! Learn more here.
6 Unique Ways That AI is Helping Healthcare and Biopharma
There are few industries that compare to healthcare and biopharma when it comes to benefiting from AI. Here are a few examples, including health record analysis and protein discovery.
The data analysis career path is ideal for anyone adept at drawing conclusions from raw data and solving problems using data collected by a variety of customer touchpoints. Here’s how to get there.
What Industries are Hiring for Different Jobs in AI
Different data science and AI job titles are suitable for various niches and industries. Here are a few common mashups that may be right up your alley.
Goldman Sachs: Global GPD Could See a Boost Thanks to Generative AI
If the Goldman Sachs report comes to pass, the global GDP could see a significant rise thanks to generative AI.
DiffDock Hopes to Speed Up Drug Discovery Through Generative AI
MIT researchers are hoping their new generative AI model DiffDock can unlock the future of faster drug discoveries with few adverse side effects.
Top Data Science and AI News: March 2023
From Google’s Bard to GPT-4, March was a big month for data science and AI news.
Report: ChatGPT Banned in Italy Due to Privacy Concerns — Other European Nations Closely Watching
In a first within the European community, OpenAI’s ChatGPT has been banned by the nation of Italy.
Final ODSC East 2023 Schedule Released! Here’s How You Can Spend Your Week
Across the week of ODSC East 2023, you can attend training sessions, networking events, and more. Check out some more highlights in the full schedule here!
Partner Event: Tech Tackles Cancer — London, May 24th
This unique philanthropy is focused on a “battle of the technology rockstars,” where a group of technology executives raise money in advance of them performing live, on stage, backed by a professional rock band.
Interested in sharing your thought leadership, expertise, or use cases with the data science community? Learn more about how you can speak and present at ODSC APAC here!
Video of the Week: Real time Data Science Made Easy
Join us for an insightful talk by Caltech PhD Chip Kent as he shares his decades of quantitative, mathematical, and computer science experience to make real-time data science accessible and easy.
Upcoming Webinars:
The Secret to Great AI: Great Data
Tue, Apr 18, 2023, 12:00 PM — 1:00 PM EDT
Join us to learn about deriving valuable signals from tabular data. We will focus on how to add rigor to feature engineering, and best practices for deploying and maintaining features in production.
“Transitioning into Data Science in your 30s and 40s” — an Interview with Adam Ross Nelson
Fri, Apr 21, 2023, 1:00 PM EDT
Don’t miss Adam’s and Sheamus McGovern’s discussion on how to transition into a data science career as an experienced professional in your 30s or 40s.
“AI Enabled Drug Discovery” — an Interview with Daphne Koller
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.
