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I often get asked: is it better to specialize or generalize in artificial intelligence and deep learning? The answer depends on your career aspirations. Do you want to be a deep learning research professor? Do you want to go to work for Google, Facebook, or other global mega corporations? Or do you want to be your own unicorn start up founder? Each has their own specialization requirements that I'll break down in this video. Learn how to turn deep reinforcement learning papers into code: Get instant access to all my courses, including the new Prioritized Experience Replay course, with my subscription service. $29 a month gives you instant access to 42 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to sales@neuralnet.ai https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-l... Actor Critic Methods: https://www.udemy.com/course/actor-cr... Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosit... Natural Language Processing from First Principles: https://www.udemy.com/course/natural-... Reinforcement Learning Fundamentals https://www.manning.com/livevideo/rei... Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql Come hang out on Discord here: / discord Need personalized tutoring? Help on a programming project? Shoot me an email! phil@neuralnet.ai Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: / mlwithphil