ODSCJournal
Published in

ODSCJournal

This is an email from Open Data Science Newsletter, a newsletter by ODSCJournal.

An Intro to PyTorch, Vision Transformer Applications, Scaling Analytics, and Jobs

Introduction to PyTorch

Learn how you can create a basic neural network in PyTorch, using the Fashion MNIST dataset as a data source.

Eric Ma of Moderna on Biomedical Data Science, pyjanitor, and nyviz

Read on for an interview with Eric Ma of Moderna as we learn about biomedical data science insights, and the creation of pyjanitor and nxviz.

Vision Transformer and its Applications

Learn more about the Vision Transformer NLP model, a model for image classification that employs a Transformer-like architecture over patches of the image.

Understanding the Fundamentals of Branching in Git

Using branches is critical to working with git, not to mention to the success of your project. Learn everything you need to know to get started here.

How to Democratize Data and Scale Augmented Analytics

See how you can evolve your business intelligence with augmented analytics, scale data science initiatives, break down enterprise data silos, and optimize your cloud analytics infrastructure at scale.

What Does Facebook’s Blenderbot 2.0 Mean for the Future of AI?

Let’s explore Facebook’s Blenderbot 2.0, how it works, recent updates, and what it could mean for AI in the future.

10 Indian AI Startups To Watch in 2021

There are many great Indian AI startups, reinventing weather forecasting, AI testing, healthcare offerings, and so on.

How Online Subscription-Based Learning Can Launch Your Data Science Career

By switching to online subscription-based learning, you can gain all the data science skills you need to push your career to the next level — your way.

Hot Data Science Topics Coming to ODSC APAC 2021 Next Week

ODSC APAC 2021 will represent some of the hottest topics in data science, including NLP, explainable AI, ML pipelines, and more.

Flash sale! Purchase any ODSC West 2021 ticket and get an Ai+ subscription pass for free! Gain access to our massive library of data science training today.

Register by Friday to claim this deal.

Ai+ Highlight of the Week: Fairness in Medical Algorithms: Threats and Opportunities: Judy Gichoya | Assistant Professor | Fogarty International Center at NIH

Learn about the background/context for FAIR and UNFAIR sequelae of AI algorithms in healthcare, practical approaches to FAIR Medical AI, and a grand challenge with open/unanswered questions.

Upcoming Webinars:

Five ways to Increase your Model Performance using PyTorch Profiler

Tuesday, September 21st, 3:00 PM — 4:00 PM EDT

In this session, we will go over the new PyTorch Profiler release features and how you can start leveraging this performance tool.

Embracing Extensible MLOps — Solving “Chicken or the Egg”

Wednesday, September 22nd, 1:00 PM — 2:00 PM EDT

This webinar introduces “Extensible MLOps,” enabling an internal solution with solid open-source foundations and a “lean” stack.

The Rapid Evolution of the Canonical Stack for Machine Learning

Wednesday, September 29th, 1:00 PM — 2:00 PM EDT

Join us in this webinar as we cover: What are the components for true MLOps; how do teams begin their journey into AI and Machine Learning; and why teams should take a data-first approach to ML.

Unsupervised Text Generation and its Application to News Interfaces

Thursday, September 30th, 12:00 PM — 1:00 PM EDT

In this talk, we’ll develop novel text generation methods that balance the goals of fluency, consistency, and relevancy without requiring any training data.

How do I trust the ML predictions? An introduction to ML interpretability

Friday, October 1st, 8:30 AM — 9:30 AM EDT

In this webinar, we will discuss the local and global interpretation of machine learning models and how we can explain the predictions.

--

--

--

Collecting all of the best open data science articles, tutorials, advice, and code to share with the greater open data science community!

Recommended from Medium

Towards Automatic Summarization. Part 2. Abstractive Methods.

Machine learning reveals recipe for building artificial proteins

Machine learning reveals recipe for building artificial proteins

Specific Object Recognition with Tensorflow Object Detection API

A complex reinforcement learning crypto-trading environment in python

Sorting out viruses with machine learning

Sorting out viruses with machine learning

Best Practices for Deploying Machine Learning in the Enterprise

Designing a Streaming Architecture For High-Frequency Sensor Data

XGBoost is Machine Learning’s Captain America

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
ODSC - Open Data Science

ODSC - Open Data Science

Our passion is bringing thousands of the best and brightest data scientists together under one roof for an incredible learning and networking experience.

More from Medium

Visualizing Backpropagation in Neural Network Training

A parallel coordinate plot generated to visualize ML training

WHAT IS MACHINE LEARNING AND WHAT ARE THE TYPES OF MACHINE LEARNING?

Using Active Learning to Improve Ethnic Group Classification

Newsletter #61 — DeepMind sculpts nuclear plasma