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How Optimization Works
Optimization problems are naturally described in terms of costs - money, time, resources - rather than benefits. In math it's convenient to make all your problems look the same before you work out a solution, so that you can just solve it the one time.
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How to Survive Your Data Science Interview
There are many wonderful things about data science. It’s extreme breadth is not one of them. The title of data scientist means something different at every company
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 Data Science and the Imposter Syndrome
You are not the only one who wonders how much longer they can get away with pretending to be a data scientist. You are not the only one who has nightmares about being laughed out of your next interview.
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 How to Get a Data Science Job: A Ridiculously Specific Guide
Job hunting is challenging and sometimes frustrating task and we all experience it in our career. Here we provide a very specific and practical guide to get your dream job in Data Science world.
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 How Bayesian Inference Works
Bayesian inference isn’t magic or mystical; the concepts behind it are completely accessible. In brief, Bayesian inference lets you draw stronger conclusions from your data by folding in what you already know about the answer. Read an in-depth overview here.
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How Convolutional Neural Networks Work
Get an overview of what is going on inside convolutional neural networks, and what it is that makes them so effective.
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Data Science for Beginners 1: The 5 questions data science answers
A series of videos and write-ups covering the basics of data science for beginners. This first video is about the kinds of questions that data science can answer.
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What questions can data science answer?
There are only five questions machine learning can answer: Is this A or B? Is this weird? How much/how many? How is it organized? What should I do next? We examine these questions in detail and what it implies for data science.
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5 Criteria To Determine If Your Data Is Ready For Serious Data Science
If your data is a large, relevant, accurate, connected, and you also have a sharp question, you ready to do some serious data science. If you’re weak on 1-2 points, don’t worry. But if most criteria are not true, you need to do more preparation.
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What Types of Questions Can Data Science Answer
Data science has enabled us to solve complex and diverse problems by using machine learning and statistic algorithms. Here we have enumerated the common applications of supervised, unsupervised and reinforcement learning techniques
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Data Science and the Imposter Syndrome
How to Get a Data Science Job: A Ridiculously Specific Guide
How Bayesian Inference Works