Data Science

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Data Science

Data Science

@datascience

Tweeting about tips, articles and general learnings in the field of data science.

Tham gia Aralık 2010
664 Đang theo dõi5.9K Người theo dõi
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Joachim Schork
Joachim Schork@JoachimSchork·
I've just explored the brand-new tidyplots package in R, and it’s impressive how effortlessly it enables you to create beautiful, publication-ready plots. Designed with scientific papers in mind, tidyplots lets you build, adjust, and refine plot components gradually, all with a consistent and intuitive syntax that takes the complexity out of visualization. ✔️ Simple Syntax: Tidyplots offers user-friendly functions for creating polished visuals with minimal coding, saving you time and effort. ✔️ Consistent Style: Achieve a cohesive look across all visuals, eliminating the need for repetitive adjustments. ✔️ Flexible Customization: Easily customize colors, labels, and themes to align with your project’s goals, resulting in professional and engaging data displays. ✔️ Enhanced Data Storytelling: Built for clarity, tidyplots helps you convey insights effectively, making your data stand out. The example visualizations shown here were created by the package author, Jan Broder Engler, and are featured on the tidyplots website: jbengler.github.io/tidyplots/ #rstats #dataviz #tidyverse
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Data Literacy
Data Literacy@dataliteracycom·
🚀 New Course Launch! 🚀Harnessing Generative AI is NOW OPEN for enrollment! Dive into the world of generative AI and transform the way you work and innovate. For the next 24 hours only, use promo code GENAI to get 30% off your enrollment! hubs.ly/Q02Kwnqg0
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Data Literacy
Data Literacy@dataliteracycom·
Which #AI book matches your interests? 📚 Here are our favorites, including Most Current, Most Succinct, Most Technical, and Best Overview: hubs.ly/Q02TjFGP0
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Data Literacy
Data Literacy@dataliteracycom·
COMING SOON! Our next course in the AI Literacy series: Advancing Responsible AI. Responsible AI is all about making AI beneficial to the environment and to society. Find out how you can add your name to a waitlist to get early access and discounts: hubs.ly/Q02VkmK40
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Data Literacy
Data Literacy@dataliteracycom·
🔦 Monday Spotlight: You can improve your #dataviz by listening to experts dissect graphics. Watch Jon Schwabish share what he likes and where he sees room for improvement in this DataViz Critiques YouTube series: hubs.ly/Q02qClpj0
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Ben Jones
Ben Jones@DataRemixed·
My latest book is now shipping! AI Literacy Fundamentals: Helping You Join the AI Conversation. Dedicated to my son, Aaron: amzn.to/49oyXVI
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Data Literacy
Data Literacy@dataliteracycom·
Build a solid foundation of AI basics with our new course, designed for anyone curious about #AI, like - a professional trying to understand AI’s impact on your industry - a concerned citizen wanting to join the AI convo - a student exploring tech careers hubs.ly/Q02q7JJZ0
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Data Literacy
Data Literacy@dataliteracycom·
🛎️ NEW BLOG POST: What is AI Literacy? @DataRemixed, our CEO & author of the book "AI Literacy Fundamentals," gives a concise definition, and then provides a helpful guide to the 4 key aspects this critical learning priority for all of us: hubs.ly/Q02nDpFS0 #AILiteracy
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Data Science
Data Science@datascience·
Well…even if Fox News said that “AI in some form has been in continuous development for half a CENTURY,” that would be an understatement. foxnews.com/us/ais-biggest…
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sanjaykhadka
sanjaykhadka@sanjaykhadka·
If you're looking to learn data science, Twitter is a great resource! Follow these accounts for tips, articles, job listings, and more: Data Science (@datascience) - Tweeting about tips, articles, and general learnings in the field of data science. By @DataRemixed
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Barsee 🐶
Barsee 🐶@heyBarsee·
Huggingface has over 437K+ AI models hosted on it, including model demos hosted by OpenAI, Google, META, etc. If you're looking to explore the world of AI, here are 7 great apps that you can try out for free: 👇
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Andrew Ng
Andrew Ng@AndrewYNg·
New short course on Reinforcement Learning from Human Feedback! RLHF is one of the key techniques that led to the rise of modern LLMs. It is used to align LLMs with human preferences, to make them more honest, helpful and harmless, by (i) learning a reward function that mimics human preferences, as expressed in human-provided labels, then, (ii) tuning an LLM to generate outputs that receive a high reward. In this course, taught by Nikita Namjoshi, Developer Advocate for GenAI at @googlecloud, you'll learn the details of how RLHF works, including how to apply it to tune an LLM for your own applications. You'll also use an open source library to tune a base LLM to align with human preferences expressed in a training set, and evaluate the tuned model by comparing its responses before and after RLHF-tuning. Please sign up here! deeplearning.ai/short-courses/…
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