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A lot in machine learning is pretty dry and boring, but understanding how autoencoders work feels different.This is a thread about autoencoders, things they can do, and a pretty cool
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We usually talk about two main types of machine learning models:• A Classification model• A Regression modelThey are different, and it's essential to understand why.↓ 1/6 Whenever the result of
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No, this is not a joke.Here are my thoughts about the "HTML is not a programming language" recurrent theme.↓ 1/5 This question is controversial not because people care about HTML
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About getting a job with machine learning, things you should do during an interview, and some random thoughts that may help you land a job↓ Before getting a job or
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Everything I know about great Software Developers. 1. Great Software Developers are humble.They never put themselves above anyone else. They are willing to leverage existing solutions and listen to others.(1
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Machine Learning doesn't need to be overwhelming.Here is a strategy that you can use to get started without too many distractions. If you start today, you'll probably feel overwhelmed by
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10 questions that spark conversations, make you think, and give you a solid foundation of practical Machine Learning. (Some) interviews are broken.They focus on trivia and expect candidates to recall
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A plan to get a job as a Machine Learning Engineer. Put in the work, level up, and get ready to demonstrate that you can deliver value.You'll have to answer
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33 applications of Machine Learning, 3 different categories.(And there are so many more it's not even funny!)It doesn't matter what you enjoy in life. There's something here for you!
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A quick, non-technical explanation of Dropout.(As easy as I could make it.) Remember those two kids from school that sat together and copied from each other during exams?They aced every
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I always get Normalization and Standardization mixed up.But they are different.Notes about them and why do we care. Feature scaling is key for a lot of Machine Learning algorithms to
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Overfitting sucks.Here are 7 ways you can deal with overfitting in Deep Learning neural networks. A quick reminder: When your model makes good predictions on the same data that was
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