You can lean back with a hot beverage and learn what not to do. We just published his collection of common mistakes he sees developers make, and how to best avoid them. My friend Tapas has spent much of this past year thinking about developer career progressions. (1 hour listen in your browser or favorite podcast app): So it's an honor to have him on the freeCodeCamp Podcast. Curran is a prolific contributor to the freeCodeCamp community, having taught several Data Visualization courses. I interviewed him about Computer Science, how humans process visual information, and even the 5 years he spent in India after grad school. Speaking of data, I met up in New York City with one of the foremost experts in the field of Data Visualization: Dr. You'll learn about Vectorizing, Embedding, Piping, and other important concepts for building a chatbot that can talk about your specific data. (18 hour YouTube course): Īnd if you want even more AI insight, learn how to use the popular LangChain framework to link your Large Language Models to your own external data. But if you want to build some hard skills, freeCodeCamp's gobble gobble got you. I don't blame anyone for wanting to just chill this Thanksgiving weekend. This is a serious course, with all the rigor you've come to expect from the freeCodeCamp engineering community. You'll learn how to use the powerful scikit-learn library to implement Linear Regression, Logistic Regression, Decision Trees, Random Forests, Gradient-Boosting Machines, and other building blocks of AI. This new intermediate course assumes you have some basic knowledge of statistics and Python. Learn how to build AIs with Machine Learning. If you find these learning resources to be worth your time, consider supporting the nonprofit with a tax-deductible donation: or with a monthly donation via their Patreon account: Nov 24, 2023 This repository is an archive of emails that are sent by the awesome Quincy Larson every week.
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