The best discussion forums for data scientists

Data science and analysis deals with complex mathematical and statistical concepts, different programming languages, and complex algorithms. Starting in data science or even well into career, one may come across several instances where they get stuck with some problem or business concept. In such situations, a discussion board or community can be a savior.

A forum with connected professionals and enthusiasts around the world can help suggest quick fixes, generate productive discussion, and raise the knowledge level of participants.

This article takes a look at some popular data science forums that every analytics professional should attend.

MachineHack

MachineHack, a popular choice for data science, AI, and ML professionals to assess their skills and compete with others, also has a discussion board. The MachineHack Discussion Forum is a community space to answer all technical challenges of machine learning, artificial intelligence, data science and data engineering. It focuses on important topics that every data science professional should know, from salary ranges to technical doubts (like dividing data sets into training and testing sets, merging two Pandas data frameworks, etc.)

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World Data Science Forum – IBM Data Science Community

The IBM community is the place where users share and discuss their knowledge about IBM products. It has different communities for data science, security, middleware and others. It is a very active platform where members share ideas and experiences to help others.

The Global Data Science Forum has approximately 20,000 members, 210 libraries and 527 blog posts. Data science professionals can discuss the technical difficulties they face.

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Machine Learning and Data Science Forum Discussions | Kaggle

Kaggle is one of the most popular platforms for data scientists because it contains huge datasets that data scientists can work on, build models and get a feel for the real world. It also has a dynamic and active forum to discuss all matters related to data science. It works through the simple feedback mechanism, asking questions and peers responding to them. Discussions can range from preliminary to advanced topics in NLP, computer vision, neural networks, visualization and many more.

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Discussion Forum – Data Science Central

Data Science Central is a community for Big Data practitioners. It leads discussions on technical topics (covers in-depth and specialized knowledge of technical aspects of data science), business topics and different sectors (on topics associated with industry or specific societal sectors). It also contains information and discussions about programming languages ​​which mainly focus on coding techniques in various languages.

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Reddit: r / datascience

Reddit can be a great source for clarifying all of your data science doubts and questions. As a popular site, people are very active there and you can expect your questions to be answered very quickly. This can be a huge time saver for people who are looking for solutions almost instantly. Currently the discussion board has over six lakh members. The most popular discussion topics here are data science career options, project discussions, job postings, among others.

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Harry L. Blanchard