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

Methods for Better Machine Learning, an Intro to spaCy, 2022 ML Safety Trends, and Jobs

ODSC East Warmup Guide to spaCy

In this free download, we walk you through some core aspects of spaCy, including a general overview, jobs that use spaCy, key terms, and more.

7 Methods For Better Machine Learning

How can we do better machine learning? By going beyond basic model validation and drift detectors, we can excel.

Deep Learning Enables a New View in the Agricultural Industry

Advances in deep learning and remote sensing technologies have unlocked unprecedented opportunities for precision agriculture.

Time is running out. Don’t miss your chance to save 60% on 3 days of expert-led training in machine learning, NLP, machine learning safety, data engineering, and much much more.

Register by Friday for 60% Off.

3 Easy Tricks to Create New Columns in Python Pandas

Create new columns based on values in other columns in the Python Pandas DataFrame.

12 Excellent Datasets for Data Visualization in 2022

Covering a broad range of topics, here are our picks for the top data visualization datasets that you can use for your projects today.

GitHub and Google Announce OpenSSF Scorecards V4 to Reduce Security Risks

OpenSSF Scorecards V4 offers new security checks, a Scorecards GitHub action, and a major expansion to the project’s weekly scans of critical open source projects.

10 Machine Learning Safety Topics for 2022

From differential privacy to unsolved cybersecurity problems, these are a few machine learning safety topics trending in 2022.

5 Unexpected Industries Utilizing AI and ML

Spanning industries from entertainment to agriculture and more, here are five industries using AI and machine learning in fun, inventive ways.

Generating Business Value with AI Using the Production-First Approach to MLOps

In this whitepaper from Iguazio, you’ll learn the different definitions for MLOps in the market today, the prevailing paradigm of the research-first approach and its pitfalls, and more.

Recap of the First ODSC Ai+ Deep Learning Bootcamp Session

Here’s a quick recap of the first session of our Deep Learning Bootcamp with Dr. Jon Krohn, and what to expect from the rest of it.

ODSC East 2022 Call for Volunteers

Become a valued part of the ODSC Community and connect with an incredibly motivated group of data science enthusiasts — and attend the event for free in exchange.

Upcoming Webinars:

Art in the Age of Machine Learning

Fri, Feb 18, 1:00 PM EST

Coming soon: Lightning interview with Sheamus McGovern and Sofian Audry on Art in the Age of Machine Learning.

How to set up an ML data labeling pipeline: best practices and examples

Tue, Feb 22, 2022 1:00 PM — 2:00 PM EST

In this session, Magda Konkiewicz will show you how to build data labeling pipelines through crowdsourcing.

MLOps Engineering at Scale

Fri, Feb 25, 1:00 PM EST

Coming soon: Lightning interview with Sheamus McGovern and Carl Osipov on MLOps Engineering at Scale.

Managing Spatiotemporal Data Fusion at Scale Using The Geodesic Platform

Tue, Mar 1, 2022 2:00 PM — 3:00 PM EST

In this talk, we discuss how SeerAI leverages Pachyderm to ensure full traceability on their decentralized spatiotemporal data lake as well as reliable tracking and management of large-scale machine learning pipelines.

Introducing Quine: A Streaming Graph for Modern Data Pipelines

Thu, Mar 3, 2022 1:00 PM — 2:00 PM EST

In this talk, we will explain how Quine works under the hood, discuss some of the interesting and brain-bending challenges the team had to confront in order to create it, and show some uses cases to illustrate why it’s important for modern data pipelines.

ODSC East Bootcamp Warmup: AI Literacy

Tue, Mar 15, 2022 12:00 PM — 1:00 PM EDT

This tutorial will focus on our AI Literacy Glossary so you can understand the key terminology when communicating with AI experts.

Lightning Interview: “Ace the Data Science Interview”

Fri, April 1, 1:00pm EST

Want to ace your upcoming Data Science job interview? Learn how to best prepare for data job interviews, and hear Nick’s contrarian job hunting tips that led him to work at Facebook, Google, and an ML startup.



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