Getting Started with Data Science on GitHub, Testing NLP Models, and Jobs
5 Tools for Getting Started with Data Science on GitHub
These are five tools on GitHub that can help accelerate your machine learning development process.
How Good is Your NLP Model Really?
Here’s how you can evaluate NLP models with Amazon SageMaker Processing jobs for Hugging Face’s Transformer models.
Interactive Geographical Maps with GeoPandas
In this article, we’ll explore the interactivity of GeoPandas in detail. We’ll begin by introducing GeoPandas briefly and then move on to some of its visualizations capabilities.
What Is the Difference Between Test Data and Live Data?
There isn’t just one type of data. One such distinction is test data versus live data.
GPT-3: Propelling Businesses in the Natural Language Processing Era
GPT-3’s applications dwell in various industries ranging from productivity and education to creativity and games.
7 Most Common Big Data Blunders Every Business Should Avoid
The following are seven of the most common big data and analytics blunders every company needs to carefully avoid.
Bring your team together to reconnect and build new skills in machine learning, deep learning, NLP, and more at ODSC East 2022.
The New Role AI Could Play in Analytics Gathering
What role could artificial intelligence play for marketers when gathering user data and analytics?
There’s Going to be a Lot Going on at ODSC East 2022
Here’s a sneak peek at the ODSC East schedule to get you ready for the event coming April 2022!
Ai+ Highlight of the Week: Learning to Optimize High-Dimensional Optimization Problems
- Yuandong Tian | Research Scientist & Manager | Facebook AI
In this talk, Yuandong will cover his recent work in which deep neural networks, coupled with reinforcement learning and search methods, are used to learn heuristics of a complicated optimization problem, to achieve better performance than human experience.
Featured Jobs from Hiring Partners:
Upcoming Webinars:
Deep Dive: Rapidly Develop ML Pipelines for Graph Completion with Neo4j
Wed, Jan 5, 2022, 12:00 PM — 1:00 PM EST
In this demo, you’ll learn how to use Neo4j’s Graph Data Science (GDS) library to rapidly develop supervised ML pipelines. We’ll use ER as a case study and walk through an example to demonstrate how it could be applied to your own data.
Panel Discussion: Ethical Use of AI in Healthcare
Fri, Jan 7, 2022, 6:30 AM — 7:30 AM EST
Shirish Gupta, Data Scientist, Business Analytics, and Varun V., Director Data Science, Insight & Analytics of Novartis will discuss the Ethical use of AI in Healthcare.
Tue, Jan 11, 2022 1:30 PM — 2:30 PM EST
In this session, we’ll discuss how to enable continuous delivery of machine learning to production using Git-based ML pipelines (Github Actions) with hosted training and model serving environments.
ML System Design for Continuous Experimentation
Tue, Jan 18, 2022 1:00 PM — 2:00 PM EST
In this live webinar, we will examine some naive ML workflows that don’t take the development-production feedback loop into account and explore why they break down, showcase some system design principles that will help manage these feedback loops more effectively, and more.
What Can You Expect from ML in 2022
Wed, Jan 26, 2022 1:00 PM — 2:00 PM EST
In this webinar join us as we talk about noteworthy highlights in the AI/ML space from 2021, upcoming trends in ML/AI for 2022, and more.
