Kirill DubovikovinTowards Data ScienceIndustrial Grade Data ScienceManaging data science is hard. Data science projects have many opportunities to fail along the path. Risks of such projects are not widely…6 min read·Nov 27, 2019----
Kirill DubovikovinThe StartupSoft skills are an investmentMany consider soft skills to be worthless. In this article I’ll prove the opposite and will link you to useful resources to get started on…8 min read·Feb 4, 2019--3--3
Kirill DubovikovHow to rock your next time series forecasting projectTime series forecasting is a task of great importance. It has a wide variety of applications ranging from sales forecasting to anomaly…7 min read·Oct 29, 2018----
Kirill DubovikovHow to be a lifelong learnerAbility to learn continuously without stops and interruptions through your life is a true treasure that allows for unlimited…8 min read·Jul 4, 2018----
Kirill DubovikovMachine Learning as a Service with TensorFlowImagine this: you’ve gotten aboard the AI Hype Train and decided to develop an app which will analyze the effectiveness of different…9 min read·Mar 26, 2018--1--1
Kirill DubovikovHow to get embarrassingly fast random subset sampling with PythonImagine that you are developing a machine learning model to classify articles. You have managed to get an unreasonably large text file…4 min read·Oct 11, 2017--3--3
Kirill DubovikovThe t-distribution: a key statistical concept discovered by a beer breweryIn this post we will look at two probability distributions you will encounter almost each time you do data science, statistics, or machine…5 min read·Aug 18, 2017--9--9
Kirill DubovikovStatistical Inference Showdown: The Frequentists VS The BayesiansInference8 min read·Aug 10, 2017----
Kirill DubovikovinTowards Data SciencePyTorch vs TensorFlow — spotting the differenceIn this post I want to explore some of the key similarities between PyTorch and TensorFlow9 min read·Jun 20, 2017--34--34
