The data-science hierarchy of needs. https://
bit.ly/3t91E50
(created by @mrogati
)
AI
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Data Science Hierarchy of Needs Framework
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Open Source AI Projects for Beginners on GitHub
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You can check this out – https://
projectpro.io/article/open-s
ource-ai-projects-for-beginners-github/517
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ChatGPT servers wasted on attempts to make it racist
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What society would look like if half of ChatGPT’s servers weren't eaten up by people trying to trick it into being racist.
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Better Decision Making Through Experimentation and Testing
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Want to Make Better Decisions? Start Experimenting https://
sloanreview.mit.edu/article/want-t
o-make-better-decisions-start-experimenting
… @ASMEdotorg @3DSNorthAmerica @cyngn @MargaretSiegien @3DStherese @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Science #Engineering #Technology #SET -
Attend Online Events and Conferences for ML Growth
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4. Attend online events and conferences The machine learning communities are active and vibrant. By attending online events and conferences, you can hear from experts in your field, learn about the latest research, and connect with other professionals in your field.
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Teaching and Mentoring Reinforce Knowledge and Skills
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5. Teach or Mentor It is a great way to reinforce your own knowledge and skills. By explaining complex concepts to others, you'll gain a deeper understanding of the material and develop your own unique perspective on the subject.
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Kaggle Competitions: Learn Machine Learning Through Real-World Problems
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3. Participate in Kaggle competitions Kaggle is a platform where data scientists and machine learning engineers can compete to solve real-world problems. You can learn from other experts, improve your skills, and gain exposure to new techniques and problems.
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Collaborating on Open Source Projects for Growth
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2. Collaborate on opensource projects Collaborating with others on opensource projects is a great way to learn new skills and give back to the community. It also gives you the opportunity to apply your knowledge to real-world problems and learn from experienced developers.
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5 Ways ML Engineers Can Level Up Their Skills
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As a machine learning engineer or data scientist, have you ever felt like you're stuck in a rut? Here are 5 ways to get out of your comfort zone and level up your skills. (A thread)
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Master New AI Frameworks to Boost Your Career Value
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1. Master a new framework or tool Try picking up a new tool or framework that is gaining popularity in the industry such as Tensorflow, Pytorch, or R. Not only will this help you stay current in your field, but it will also increase your value as a job candidate.