How a Neural Network Sees a Cat, 5 SQL Data Wrangling Techniques, and a 70% Discount to ODSC West
How a Neural Network Sees a Cat
In this post, we reveal what a cat looks like inside a neural network brain, and also talk about adversarial attacks.
5 SQL Data Wrangling Techniques Every Expert Should Know
Need to learn some data wrangling techniques? These are some things that you can do with SQL, such as data profiling, detecting outliers, and more.
Training Machine Learning Algorithms to Recognize Fraud Patterns
Learn more about fraud detection, why it’s essential to use machine learning to detect fraud, industries that benefit from this practice, and some tips for data scientists training these ML algorithms.
Wikipedia Partners with Meta for Open-Sourced AI to Fact Check New Entries
The world’s largest open-access encyclopedia, Wikipedia, is officially teaming up with Meta AI to fact-check citations as the size of entries continues to rise.
Practice the Case Study Method to Nail Your Data Science Interview
Get ready for your data science interview with a reliable method for answering questions to showcase your expertise and your soft skills — The Case Study Method.
Data Science Talent Strategies for the Great Resignation
How has the field of data science changed following the Great Resignation, and how can companies keep data scientists happy?
Don’t miss your last chance to get your pass to 3 days of expert-led data science training and networking at the best possible price.
How to Become a Data Scientist Who Lives at the Beach
In this interview with a data scientist at SAS, we discuss how he works remotely, what tools he works with, and how he got here.
Ten Free Data Science Videos from ODSC Europe 2022
These ten free data science videos from ODSC Europe 2022 cover helpful topics like knowledge graphs, full-stack machine learning, and more.
5 Reasons to Attend the ODSC West Data Science Bootcamp
Taking into consideration reduced costs, focused learning, and exclusive networking, these are a few reasons why you should attend the ODSC West data science bootcamp.
Video of the Week: Vision Transformer and its Applications
In this talk, Rowel Atienza will go into a deeper understanding of the model architecture of vision transformers. Most importantly, Rowel will focus on the concept of self-attention and its role in vision. Then, he will present different model implementations utilizing the vision transformer as the main backbone.
Our Volunteer program is a great way to get involved in ODSC — one of the world’s largest conferences and communities of artificial intelligence and data science experts. Get a chance to collaborate with our community/media partner team and support us with the organization of ODSC 2022!
Upcoming Webinars:
Wed, Jul 20, 2022 12:00 PM — 1:00 PM EDT
This webinar will cover a use case (ML model training) from beginning to end in the most efficient way possible, which is what MLOps is all about. It’s using open-source tooling, so you can already start: https://github.com/allegroai/clearml
Fri, Jul 22, 2022 12:00 PM — 1:00 PM EDT
On July 22nd, we will interview ODSC Europe speaker Dieuwke Hupkes — Research Scientist at Facebook AI Research & Scientific manager of ELLIS Amsterdam at European Lab. She will lead an engaging conversation on “NLP’s generalization Problem”. Listen in and ask questions, live!
CPUs vs GPUs for Your End-to-End Data Science Workflows
Thu, Jul 28, 2022 12:00 PM — 1:00 PM EDT
We know that model training and inference are faster on GPU, but the slowest, most draining part of a data scientist’s typical day is processing data into the structure the model requires. Can GPUs help us with this challenge as well? To answer this question, we’ll compare cycles per second and costs of CPU vs GPU, look at speed gains with the Rapids.ai framework, and calculate ROI as our AI/ML models scale. Join us as we lay out the compelling case for why you should be using GPUs for your end-to-end data science workflows, including ETL jobs.
Applying Interactive Weak Supervision to NLP Tasks
Tue, Aug 9, 2022 12:00 PM — 1:00 PM EDT
In this tutorial, we’ll first build a basic weakly supervised system for an NLP task, and then augment it with some of these generative techniques to speed up the iterative process.
