Workera

@workera_

Take the Workera skills test and get a job in AI! It’s that simple.

Palo Alto, CA
bit.ly/2rpOciv
Vrijeme pridruživanja: listopad 2019.
19 fotografija ili videozapisa Fotografije i videozapisi

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  1. Prikvačeni tweet
    9. sij

    As part of two large-scale studies of the AI job marketplace, we interviewed 100+ AI leaders. This report shows how different organizations use AI teams, the tasks you’ll be asked to perform, and the skills recruiters look for. Download a free PDF here:

    1 reply 7 proslijeđenih tweetova 20 korisnika označava da im se sviđa
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  2. 3. velj

    Our founder Kian Katanforoosh, who’s also founding member of , will speak about AI roles and the skills it takes to get into AI on Thursday, February 6th at offices.

    1 proslijeđeni tweet 6 korisnika označava da im se sviđa
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  3. 3. velj

    Here’s another ! 🤓 Which of the following models is non-parametric? Explain your thought process.

    6 replies 3 proslijeđena tweeta 6 korisnika označava da im se sviđa
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  4. 31. sij

    Lol 😂

    1 reply 10 korisnika označava da im se sviđa
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  5. 30. sij

    Looking to better understand the AI project development life cycle? Download our report to learn about the differences between ML and DS project development cycles:

    3 proslijeđena tweeta 4 korisnika označavaju da im se sviđa
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  6. 28. sij

    Here’s how Emmanuel, a ML Engineer, used Workera to grow his career in the field of AI.

    2 korisnika označavaju da im se sviđa
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  7. 27. sij

    Time for the weekly ! Which of the following machine learning algorithms is unsupervised?

    4 korisnika označavaju da im se sviđa
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  8. proslijedio/la je Tweet
    27. sij

    At , Kian Katanforoosh works to make AI accessible to all students. As CEO and Founder of , that helps companies establish AI teams, he shared his expertise with students in the Applications class.

    1 reply 10 proslijeđenih tweetova 26 korisnika označava da im se sviđa
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  9. 24. sij

    “You’re hired!” 🤣🤓

    4 korisnika označavaju da im se sviđa
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  10. 23. sij

    (2/2) A smaller batch size leads to a less accurate estimate of the gradient of the loss function over the training set, and thus to more oscillation during optimization. You can learn more about parameter optimization in this interactive AI Note:

    5 korisnika označava da im se sviđa
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  11. 23. sij

    (1/2) Congrats ! The correct answer is: 1. Batch Gradient Descent 2. Stochastic Gradient Descent 3. Mini-batch Gradient Descent

    1 reply 1 proslijeđeni tweet 8 korisnika označava da im se sviđa
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  12. 22. sij

    Here’s how Paige used Workera to prepare for AI interviews.

    2 proslijeđena tweeta 5 korisnika označava da im se sviđa
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  13. proslijedio/la je Tweet
    21. sij

    Workera prepared an outstanding report to summarize the abilities needed for different positions in Machine Learning and Data Science. It can help you as a guide if you're planning to build an AI career. You can find the report here:…

    1 proslijeđeni tweet 1 korisnik označava da mu se sviđa
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  14. 21. sij

    Read about the comparison between a data science and machine learning organization. What has your experience been working in either organization?

    3 proslijeđena tweeta 13 korisnika označava da im se sviđa
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  15. 20. sij

    Time for a ! Assign each of the figures below to an optimization algorithm among (i) stochastic gradient descent, (ii) mini-batch gradient descent, and (iii) batch gradient descent. Explain your thought process.

    10 replies 11 korisnika označava da im se sviđa
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  16. 17. sij

    😂 How are your interviews going?

    5 proslijeđenih tweetova 14 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    16. sij

    My immediate thought though was that this is a GREAT way to separate a project into a valuable pieces for tracking in tools like Jira and GitHub's project tab, so that's exactly what I did with my own personal project.

    1 reply 1 proslijeđeni tweet 5 korisnika označava da im se sviđa
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  18. proslijedio/la je Tweet
    14. sij

    For the job seekers interested in career path in AI aligned careers , felt this test () from workera (which is a subsidiary of reputed AI Researcher Andrew Ng Company ) will definitely useful...

    2 proslijeđena tweeta 3 korisnika označavaju da im se sviđa
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  19. 15. sij

    Here’s how Lijie, a PhD student at Cornell University, used Workera to prepare for and choose a job in AI.

    3 korisnika označavaju da im se sviđa
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  20. proslijedio/la je Tweet
    14. sij

    What a great resource . Such thoughtful questions. Loved it! I sure know where to improve upon now. :)

    1 proslijeđeni tweet 6 korisnika označava da im se sviđa
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  21. 14. sij

    Here is a summary of the AI project development life cycle’s tasks, and the roles who carry out those tasks. You can learn more details in the full report:

    1 korisnik označava da mu se sviđa
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