This is the story of “University of Mariel: Case of Maris” - a learning framework where you commit to learning 30 minutes per each day - whole a whole year. Examples for course pack and learning framework template are included!
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Programming is a skill that everybody recognises to be valuable in the modern world. The requirement for being able to write code using the programming language Python has become more and more popular in job advertisements and it has spread way out of the engineering field. In this post, I’m going to focus on explaining why I think that every person should learn Python — even without having any plans to enter the tech world.
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The business perspective of artificial intelligence might be different from what engineers think of. Is it machine learning or artificial intelligence? Well, both terms are correct if used wisely - it’s only a matter of context.
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We live in a world in which the photos and videos can’t be believed anymore. We have ‘deepfake’, paid advertisements and search engines influenced by the marketing professionals. It seems our own judgment and continuous assessment on the information has never been so necessary as it is today.
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Machine learning can be used in many areas and scaling your business operations can be one of them. In this post, I hope to fuel your mind a bit to think about how to approach different business problems and share my experience from a hackathon, how we applied ML to scale our product.
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Innovation takes courage and creativity. But the word itself - innovation, is used way too often and mostly in situations when it shouldn’t be used. Are the startups and corporates fit enough to win the battle of AI?
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With so much happening in the field of AI, it can be quite overwhelming for a non-technical person to actually start off with the dedicated learning path. To make it a bit easier, I have accumulated some of my top learning recommendations together with direct links to the sources.
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Artificial intelligence is a powerful tool in which machines learn to solve problems in a way how humans would. However, the skills to create such solutions are still quite rare in the market and very expensive.
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