Reinforcement Learning was one of the most hyped areas in AI. At one point, it was supposed to revolutionize the world. Now it's almost an after-thought to Supervised and Unsupervised Learning. So what went wrong? Reinforcement learning (RL) is a type of machine learning that enables an agent to learn how to behave in an environment by trial and error. The agent is rewarded for taking actions that lead to desired outcomes, and penalized for taking actions that lead to undesired outcomes. Over ti

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I’m 30 and I’m a bit ashamed to admit that I don’t have it all figured out. My early adult years were a lot of trial and error. I jumped from job to job because I couldn’t make up my mind about what to study in university. Choosing a degree felt like too big of a commitment, especially with how expensive studying in Canada is. So instead, I did shorter programs and certifications. A few months to become a travel agent. A year to get certified in digital marketing(really thought this was the one)

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😱 IPHONE HACKED EXPOSED!!!