Decisions like these are profoundly personal. Whether you choose the rigorous path of a Ph.D. or the dynamic world of entrepreneurship, the key is aligning with what resonates with your spirit, skills, and aspirations.
EDUCATION
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Learning, Knowledge Sharing, and Career Growth in Tech
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• Those who enjoy learning and improving for long-term projects. • Individuals who derive satisfaction from sharing knowledge. • People who aspire to work in big companies that value formally recognised titles.
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Academic Career Paths in Research and Teaching Excellence
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• Individuals who love deep research. • Aspiring professors. • People who are okay with working on complex problems for long period. • Those who value contributing to a vast body of knowledge. • Individuals considering a career in academia or teaching.
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Who Should Consider a PhD After Dropping Out
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Who I think is a Ph.D. for… after dropping out of one I recently shared a video about my PhD, or rather, why I decided to quit. Here are my thoughts on who should consider doing one.
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Equivariance in Machine Learning: Maurice Weiler’s Educational Guide
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Check out this amazing blogpost by @maurice_weiler on equivariance. Besides an amazing researcher, Maurice is also a fantastic educator. No better source to learn equivariance IMO.
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Honoring Engineers Scientists Mathematicians Shaping World Today
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Today, we're honoring the engineers, scientists, and mathematicians who are shaping the world! #NationalSTEMDay #STEMDay See what they're doing http://
spr.ly/6018uqGva -
Kaggle Tips for Aspiring Data Scientists
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– Learn somthing while doing it;
– Spending time on Kaggle should make aspiring #datascientists’ knowledge better;
– Stay more organized;
– You don’t have to go for a win;
– Use LLMs: they can help you answer some questions -
KGM’s Beginner Tips for H2O GenAI World Competition
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KGM’s tips and advice for beginers at #H2OGenAIWorld:
– Doing competition over and over again encourages you not to give up easily;
– Don’t be afraid to start with other people’s code. It’s a great starting point;
– Just don’t use people’s code. Try other ideas (Continues below) -
Biggest Kaggle Grandmaster Gathering: LLMs and Beyond
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It’s time for our biggest #Kaggle Grandmaster gathering ever!! @ArnoCandel
, @Rob_Mulla
, @ph_singer
, @pa_pfeiffer
, @DmitryLarko
, @Mark_a_Landry
, @_dynamic24_
, @ryan_chesler
, @bmurr26
, Shaikat Galib & @bhutanisanyam1 are now on stage to talk all things #Kaggle, #LLMs & beyond. -
Kaggle Grandmaster Shares LLM Classification and Regression Mastery
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Maker @ph_singer
, ranked #1 Kaggle Grandmaster, presented on how to master classification and regression with #LLMs using insights from #Kaggle competitions. #H2OGenAIWorld