Interested in Data Science? Pay Attention to These People, Podcasts, Newsletters and Projects
May 8, 2019
The data science community is collaborative. Data scientists enjoy sharing ideas,tips and questions and they can be a great resource for people interested in topics ranging from data visualizations and statistics, to artificial intelligence and machine learning.
Here is a list of data scientists, analysts and professionals grouped by social media accounts to follow, podcasts to listen to, content to explore, and newsletters to subscribe to. They are sorted into the following interest areas:
AI Researchers Slack channel Connect with fellow AI enthusiasts in this Slack community with almost 4,000 members worldwide. There are channels for beginners to ask questions and discussions about facial recognition, natural language processing and more.
AI Weekly This weekly newsletter gives readers a succinct look at the top news in AI, as well as sections on software tools and code, learning, and the workplace.
Siah, @siah UC Berkeley alum. Silicon Valley Scientist. Machine Learning, Data Science and Statistics. Formerly at Microsoft, now at a very small company.
8 Machine Learning Projects for Beginners Get started in machine learning with this list of entry-level projects that includes tutorials, project ideas and datasets. Challenges include predicting stock prices, improving health care and mining social media sentiment.
Data Skeptic 20-30 minutes per episode Host Kyle Polich explains some high-level data science concepts and research in this weekly podcast. Recent episodes we enjoyed include BLEU and Text Mining in R.
The O’Reilly Data Show 30-40 minutes per episode Host Ben Lorica interviews experts on some of the big ideas in data science: machine learning to create smarter cities, managing bias in AI, and more. Recent episodes we enjoyed include and more.
Data Crunch 20-30 minutes per episode Host Ginette Methot talks to entrepreneurs and experts about their experiences employing new technology—their approach, their successes, their failures, and the outcomes of their work.
Workout Wednesday Test your knowledge of Tableau with these weekly projects that entice participants to replicate the challenge in the software using the data provided. They don’t post solutions, but you can follow #WorkoutWednesday2019 for some insight.
Data Visualization Society This worldwide community of almost 4,000 people includes software designers, UX experts, journalists and more. Resources include a job board, an events calendar, and a Slack channel to connect with other people.
Tidy Tuesday This GitHub repository is full of challenges asking data scientists to explore a new dataset using their R skills. Connect with other participants and come back every Tuesday for more.
Data Is Plural Subscribe to the Data Is Plural newsletter for a weekly list of some of the most interesting, obscure and fascinating datasets available on the internet. Bonus: Author Jeremy Singer-Vine saves everything in a structured archive for you to explore. Back to top
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