Embedding Interactive Python Plots, Improving Your Model Performance with Auto-Encoders, and Jobs
Here’s a guide on how to use Plotly Chart Studio and Datapane to share Python plots on the web.
A correct feature engineering strategy tends to improve the performance of the model. In this article, we will discuss and implement feature extraction using autoencoders.
Factoring in the right skills, tools, and platforms for the job, here are a few things to consider for your next data engineering job.
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.
Including mathematical and computer science knowledge, these are the four core machine learning skills you need to get started in the AI field.
To get started with Python for data science, these are a few popular Python libraries that you should know, including NumPy, Pandas, and others.
Want to learn more about machine learning safety? Check out this rundown of a few free videos that you can watch on Ai+ Training.
From bootcamps to watching videos, there are a number of ways that you can learn data science quickly to catch up on in-demand skills.
One of the most basic forms of scouting out a company’s security defenses is through using port scans. How can you protect against them?
We’re happy to announce the first 50 ODSC West speakers! Learn more about them here and see why they’re game-changers in AI.
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!
In this talk, Dr. Ella Hilal speaks about how you can bring the power of AI into any organization, walking through the key principles for effectively scaling machine learning and artificial intelligence. She covers a variety of principles from creating a strong internal data culture, to incorporating machine learning models as a seamless part of the product experience, to why complex models are not always the best solution (at first).
Featured Jobs from Hiring Partners:
Tue, Jul 5, 2022 12:00 PM — 1:00 PM EDT
Data science can be used in higher education both to forecast the final grades of the students considering continuous evaluations and to help students to perform their tasks when the teacher is not with them. These two use cases can help both students and teachers to improve the learning experience.
Fri, Jul 8, 2022 1:00 PM EDT
You’re going to want to mark your calendars! On July 8th, we will interview ODSC West speaker Serg Masis — Climate & Agronomic Data Scientist at Syngenta. He will lead an engaging conversation on the challenges of machine learning interpretability. Listen in and ask questions, live!
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
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.