AI can seem like a dream profession: Machine learning engineers and data scientists are in-demand and well paid. On top of that, many find the day-to-day work of building models, tuning algorithms, and analyzing data to be deeply satisfying. But the field is also competitive and fast-paced. Job seekers, especially those early in their careers, are often confused about the best way to get hired.
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Luis is a lifelong mathematician and a machine learning scientist by trade. He has taught courses on probability at Université du Québec à Montréal and the University of Michigan, built algorithms for Google, taught AI at Apple, and currently works on language models for Cohere. His YouTube channel, Serrano Academy, is known for its approachable, bite-sized explanations of a variety of math and machine learning topics. And somewhere amid all of that, he found time to write a book: Grokking Machine Learning.
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I joined the DeepLearning AI Community because here in El Salvador, there were not many communities that talked about this topic, nor is it taught in our universities. I saw that DeepLearning.AI could help me to spread knowledge and connect with people interested in this field.
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I felt that DeepLearning.AI is a great platform to share the work of Singapore's AI researchers and students and also to help them connect with the wider global community. Furthermore, with new exciting developments happening almost on a daily basis in the field of AI and Data Science, the DeepLearning.AI community offers a convenient and effective channel for us to learn from each other.
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