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

Graph Visualization with nxviz, ScaleDown for TinyML, Starting Deep RL, and Jobs

Beautiful Graph Visualization with nxviz

Learn how to create attractive and easily approachable graph visualizations by using the open-source tool, nxviz.

Introducing ScaleDown: An Open-Source Neural Network Optimization Framework for TinyML Devices

Learn more about ScaleDown, an Open-Source Neural Network Optimization framework that aims to reduce the difficulty in optimizing and deploying models to TinyML devices.

How to Get Started with Deep Reinforcement Learning on a Variety of Use Cases

Explore available open-source deep reinforcement learning tools and gain insights on how to go from research to production.

10 India-Based AI Startups Changing Healthcare

AI healthcare startups are innovating and revolutionizing healthcare at home and abroad with the help of artificial intelligence. Here’s who to watch.

Build your skills with expert-led instruction in focus areas from Cybersecurity to NLP at the ODSC West Conference. Register today to save 40%.

8 Ways Machine Learning Can be Used in Cybersecurity

Machine learning and cybersecurity go hand-in-hand now, with many applying ML to fraud detection, preventing data leaks, and so on.

How to Establish a Successful, Sustainable, and Scalable Data Science and AI Capability within an Organization

There are a few things that you need to consider when you want to implement scalable data science and AI practices in your organization.

Take a Deep Dive into NLP at ODSC APAC 2021

Learn everything you need to know about natural language processing with these ODSC APAC NLP sessions, speakers, and AI research labs.

10 Reasons Why Your Boss Should Let You Attend ODSC APAC 2021

There are plenty of good reasons why your boss should let you attend ODSC APAC 2021, such as ROI, getting ahead of new skills, and networking.

Ai+ Highlight of the Week: Advanced Practical Pandas — From Multi-indexing to Styling: David Yerrington | Data Science Consultant

Check out the first 20 minutes of on-demand training to learn how to configure Python environments, the fundamentals of Pandas, understand when to use Built-in vs. “.apply()” for data transformation, and more

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