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A quick comment on Artificial Intelligence

Oscar Cabrera

3 Jan 2023

Learning about AI may become necessary for tech professionals looking to advance in their careers.

The big tech companies Meta, Alphabet, and Microsoft may compete fiercely, but they all have one thing in common: they talk about artificial intelligence (AI) frequently in their earnings calls. While Meta had previously focused on the metaverse, CEO Mark Zuckerberg is now emphasizing the company's work in AI and machine learning, while Microsoft has collaborated with AI company OpenAI to integrate AI chatbots with the Bing search engine and hopes to apply AI to more services, including Azure cloud infrastructure. Alphabet has also ramped up its AI efforts in response to its competitors.

For those looking to start learning about AI, there are several resources available. Hacker Noon provides a great overview of AI, including deep learning and machine learning, while Udacity's Introduction to Artificial Intelligence covers AI fundamentals and applications. Google's Machine Learning Crash Course and Microsoft's high-level overview of AI offer lessons, exercises, and real-world case studies.

For those who want to expand their knowledge, Stanford Online, Udemy, and Coursera offer courses in natural language processing, machine learning models, and reinforcement learning. OpenAI also has an extensive tutorial on deep reinforcement learning, as well as its own API and tools.

Finally, for those who consider themselves experts in AI and machine learning, Bloomberg's Foundations of Machine Learning provides a deep dive into statistical analysis and machine learning. As AI becomes increasingly important in the tech industry, learning about AI may become necessary for tech professionals looking to advance in their careers.

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