To the overall prediction) the next time it receives a similar input. This process is repeated many many times until the margin of error between the input and the ideal output is considered acceptable. Convolutional Neural Networks A convolutional neural …
No matter what you do, you can’t avoid excel. So, may as well dive into it & tame the beast. Here are 5 excel Add Ins that every data scientist should install. Power Query: Microsoft Power Query for Excel, is …
Here is a non-exhausting list of curious problems that could greatly benefit from data analysis. If you think you can’t get a job as a data scientist (because you only apply to jobs at Facebook, LinkedIn, Twitter or Apple), here’s …
Model evaluation metrics are used to assess goodness of fit between model and data, to compare different models, in the context of model selection, and to predict how predictions (associated with a specific model and data set) are expected to …
R is a fast-evolving language. It’s adoption in academics and business is skyrocketing, and consequently the rate of new features and tools within R is rapidly increasing. These are some of the new technologies and packages that excite us the …
Guest blog post by Martijn Theuwissen, co-founder at DataCamp. Other R resources can be found here, and R Source code for various problems can be found here. A data science cheat sheet can be found here, to get you started with many aspects of data …
Summary: What do you need to do to get an entry level job in data science? This article is written for anyone who is considering becoming a data scientist. That includes young people just starting their bachelor’s degrees and folks …
These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whether they design proprietary tools. When you click on any of the 40 links …
Even though the terms data science, machine learning, and artificial intelligence (AI) fall in the same domain and are connected to each other, they have their specific applications and meaning. We will start with the term Data Science, as it assumes the top-most …
Data scientist paid $500k can barely code! This is not about attacking a guy – a friend of mine – who, at first glance, seems extremely overpaid, like any top executive. Indeed, the question is about whether data scientists should …