That's a wrap! If you interested in: – Python – Data Science – Machine Learning – Maths for ML – MLOps – NLP – Computer Vision – LLMs I'm sharing daily content over here, follow me → @akshay_pachaarif you haven't already!! Cheers!!
AI
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Understanding problems before solutions in AI development
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Understand the problem before jumping onto solution. Staying close to the product & domain knowledge can help you find simpler solution to most complex problems. And this is the key!
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Free Conference on AI Agents, Custom LLMs and Generative AI
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Participating in high-quality conferences help you to stay abreast of the latest advancements in tech. Here's Free Conference by @abacusai ! You'll Learn about: – AI agents
– Building custom LLMs
– Future of Generative AI. Reserve FREE spot! -
Networking in Data Science: Events, Meetups and Best Practices
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Networking Attend industry events, meetups & conferences to connect with folks in data science. You will learn about new tools, techniques & best-practices. Twitter is a great place to start! Here's my Elite-ml-list
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Build Your Tech Portfolio for Competitive Job Advantage
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Build a portfolio Work on projects, create a portfolio that showcases your skills and the types of problems you can solve. It gives you a competitive edge when applying for jobs.
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Storytelling in Data Science: Communicating Insights Effectively
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Storytelling Data science isn't just about crunching numbers but also weaving stories from data to drive insights. Storytelling is the key to effectively communicating findings and engaging stakeholders. Strong interpersonal skills will take you places!
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Master Python Programming with CS50 Harvard Course
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Become a strong programmer Programming helps you to bridge the gap between theory and building stuff that's useful. Python is the language data science community speaks! And CS50p is arguably the best place to learn Python. Check this out http://
cs50.harvard.edu/python/2022/ -
Master Mathematics Fundamentals for Machine Learning Success
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Learn the fundamentals! It's important to have a strong foundation in mathematics, it helps you to stand out. Here's a great place to start https://
coursera.org/specialization
s/mathematics-machine-learning
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7 Essential Data Science Career Tips for Beginners
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I started my career in Data Science back in 2016 Here are 7 tips for those starting out today! A Thread
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API Monetization Strategy Backfires: Technical Infrastructure Crisis
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“We need to pay the debt i took. Let’s charge a ton for the API” “Sir, people now scrape the website directly to avoid the cost. Which is really expensive for our servers!” “Block public access” “Our frontend wasnt anticipating this. Multiple parts of the site are now infinite