How To Get into AI (Realistically) w/ ML Engineer
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Advance your career in Artificial Intelligence with Simplilearn’s Artificial Intelligence Engineer Program: https://bit.ly/GodaGoSimplilearn Join AI Productivity Hub & Setup Your AI Second Brain in 10min: https://dub.sh/join-aiph This is Part 2 of our conversation with Tanner Ducharme, Machine Learning Engineer & Data Scientist. We dive deeper into the realities of working in AI, exploring what it takes to become a machine learning engineer and how to realistically enter the field. Tanner shares valuable insights on the importance of domain expertise, the various paths to enter AI, and the day-to-day tools used by ML engineers. If you missed Part 1, check it out to learn about the AI job market and challenges in integrating AI into businesses: https://youtu.be/yrK2Fn0tQ7w Timestamps: 00:00 Introduction 01:00 The value of domain expertise in AI 02:57 Paths to enter the AI field 06:34 Essential tools for machine learning engineers 08:47 The accessible side of data science 10:14 Tips for aspiring AI professionals
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