Towards Data Science Inc. is a corporation registered in Canada. Using Medium, we provide a platform for thousands of people to exchange ideas and to expand our understanding of data science. Our audience is mixed, consisting of readers entirely new to the subject and expert professionals who want to share their inventions and discoveries.
The TDS team currently includes 4 full-time editors, as well as 15+ Volunteer Editorial Associates. We’re thrilled to share the work of hundreds of independent authors and contributors.
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51-200 employees
View all Towards Data Science employees
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Internet
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2300 Yonge Street, Suite 1600, Toronto, Ontario M4P 1E4, CA
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2016
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Community Building, Data Science, Artificial Intelligence, Machine Learning
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Jangtaeho is the CEO of Towards Data Science. To contact Jangtaeho email at [email protected].
Towards Data Science is a platform hosted on Medium that serves as a community for individuals interested in data science, artificial intelligence, and machine learning. It offers a space for writers, researchers, and practitioners to share their insights, tutorials, and experiences. The platform facilitates knowledge exchange and helps users expand their understanding of data-related topics through articles, case studies, and discussions.
Anyone can contribute to Towards Data Science by writing and submitting articles related to data science, AI, and machine learning. To get started, you need to create a Medium account and then follow the submission guidelines provided by Towards Data Science. Once your article is approved, it will be published on the platform, allowing you to share your knowledge with a broader audience.
Towards Data Science covers a wide range of topics within the fields of data science, artificial intelligence, and machine learning. Popular topics include data visualization, statistical analysis, machine learning algorithms, deep learning, natural language processing, and practical applications of AI in various industries. The platform also features discussions on ethical considerations and the future of data science.
Yes, Towards Data Science is suitable for beginners as well as experienced professionals. The platform features a variety of articles ranging from introductory content to advanced topics. Beginners can find tutorials, guides, and explanations of fundamental concepts, while more experienced readers can explore in-depth analyses, case studies, and the latest trends in the field.
While Towards Data Science primarily focuses on content creation and knowledge sharing, it also serves as a networking platform for data science professionals. Many articles discuss career paths, job opportunities, and industry trends. Additionally, contributors often share information about relevant conferences, workshops, and networking events in the data science community, making it a valuable resource for career development.
Towards Data Science supports the data science community by providing a platform for knowledge sharing, collaboration, and discussion. It encourages writers to share their experiences and insights, fostering a sense of community among data enthusiasts. The platform also highlights diverse perspectives and promotes inclusivity within the field, helping to connect individuals from various backgrounds and expertise levels.
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