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The 11 best Gmail Chrome extensions and add-ons

  The 11 best Gmail Chrome extensions and add-ons Some of those extensions make a tiny change — but one that might save you hours over the course of a year. Some, like the Chrome extension we’ve developed here at GMass, are massive — an entire email marketing platform that works inside of Gmail. And some extensions don’t work at all, so we filtered those right on out. There are some really popular Chrome extensions for Gmail out there (like Boomerang, Mailtrack and Grammarly) — but you don’t need us to tell you about those. Instead, we dug  deep  to find extensions you probably haven’t heard of — but which could be really valuable for you going forward. Click here to Know more

Useful Data Science Resources with code and articles

  Collection of useful data science topics along with code and articles Click here to explore

TOP FIVE MACHINE LEARNING INNOVATIONS IN 2022

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  TOP FIVE MACHINE LEARNING INNOVATIONS IN 2022 The applications of machine learning in the real world have made our daily tasks more feasible, swifter, efficient, and precise. Powered by data science, if machine learning applications are trained accurately, they can complete the tasks way more quickly than humans Click here to know more

UNICEF Free Online Child Safeguarding Training Course

  UNICEF Free Online Child Safeguarding Training Course Online Child Safeguarding Training This training introduces how UNICEF can keep children safe when they interact with our personnel, partners, programmes, and operations. This training introduces the principles of child safeguarding and the ways in which you can keep children safe when they interact with UNICEF personnel, partners, programmes, and operations. Click here to Join

10 Best Data Science Courses to Take in 2022

  10 Best Data Science Courses to Take in 2022 Click here to know more

Free Cyber Security Resources

  FREE RESOURCES Click here to know more

Computer Vision Open Access Research Papers

Computer Vision Foundation open access These research papers are the Open Access versions, provided by the Computer Vision Foundation. Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. Click here to view the papers