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Underrated Machine Learning Concepts to improve your Model Performance

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Thanks to the internet and open-source community, there has never been a better time to start building products that leverage AI and Data to create valuable insights for various organizations. In this article, I will share some amazing techniques that will make your Machine Learning Solutions much better. These are techniques that have shown a lot of success in projects, but too many ML practitioners look beyond these and jump straight to expensive Deep Learning Methods. These techniques will reduce your pipeline training costs, help you build more robust Machine Learning Models, and make your mom very proud of you for implementing techniques that don't get the respect they deserve. To start us off, I want to introduce you to Sparsity.


5ways-artificial-intelligence-can-boost-digital-marketing

#artificialintelligence

Today's search is so much more convenient and improved because of AI abled software and tools that can not only accumulate humongous customer data but, will help you to segregate and articulate relevant pitches as well. Years ago, if you had wished to segment and analyse your prospects and customers in real-time and in large quantities, it wouldn't have been attainable; Today, believe me, it sure does. AI integrated tools like Elastic have gained mainstream and has helped small e-commerce stores to have solutions that go past simply matching words. These are a rarity in the marketing world and all thanks to artificial intelligence for this amazing technique. These are a rarity in the marketing world and all thanks to artificial intelligence for this amazing technique.