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2. Kaggle - Wikipedia

   en.wikipedia.org/wiki/Kaggle

   Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

3. Coursera - Wikipedia

   en.wikipedia.org/wiki/Coursera

   Coursera Inc. (/ k ər ˈ s ɛ r ə /) is an American global massive open online course provider. It was founded in 2012 [2] [3] by Stanford University computer science professors Andrew Ng and Daphne Koller. [4] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.

4. 10 Free Online Certification Courses to Advance Your Career - AOL

   www.aol.com/news/10-free-online-certification...

   Certificate programs can lead to high-paying jobs -- so if you don't have to pay for a certification, it's a real opportunity. 10 Free Online Certification Courses to Advance Your Career Skip to ...

5. Online credentials for learning - Wikipedia

   en.wikipedia.org/wiki/Online_credentials_for...

   Among alternative credentials, online certificates currently command the highest value, and are nearly comparable to a traditional degree. Earning an online certificate from an online college, a company or an industry-specific organization is typically much more involved than for the other credentials. The certificates are often connected to ...

6. 10 Free Online Certification Courses to Advance Your Career - AOL

   www.aol.com/news/10-free-online-certification...

   Finding free ways to obtain training and certifications should be at the top of your list. Skip to main content. Sign in. Mail. 24/7 Help. For premium support please call: 800-290 ...

7. List of datasets for machine-learning research - Wikipedia

   en.wikipedia.org/wiki/List_of_datasets_for...

   Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...