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Why the RepNet is so important

Using Deep Learning to Count RepetitionsPhoto by Efe Kurnaz on UnsplashIn our daily lives, repeating actions occur frequently. This ranges from organic cycles such as heartbeats and breathing, through programming and manufacturing, to planetary cycles like day-night rotation and seasons.The need to recognise these repetitions, like those in videos, is unavoidable and requires a system that... Continue Reading →

What is CICD? Where is it in 2020?

OpinionAn in-depth look at the growing marketPhoto by Robynne Hu on UnsplashCICD is a development methodology which has become more important over time. In today’s software driven world, development teams are tasked with delivering applications quickly, consistently, and error-free: every single time.While the challenges are plentiful, CI/CD is simple at its core.For many organisations, achieving true continuous delivery... Continue Reading →

The Future of GIT (2020)

Opinion5 Predictions of what Data Scientists can expectPhoto by Yancy Min on UnsplashVersion Control is a pretty boring topic for most people but for coders and researchers, it’s imperative to understand. The importance of version control is really understood when you work in a big team working on a big project. With multiple users working on the... Continue Reading →

How to Deploy Streamlit on Heroku

OpinionFor Endless Possibilities in Data SciencePhoto by Kevin Ku on UnsplashIn a previous post, I predicted that the popularity of Flask would really take a hit once Streamlit comes more into the mainstream. I also made the comment that I would never use Flask again.I still stand by both of these comments.In that time, I’ve made four... Continue Reading →

PyCharm vs VSCode

OpinionIs it time to change your IDE?Photo by Thao Le Hoang on UnsplashMaybe I’m a bit behind the curve, or maybe because JetBrains have such a big hold on the Python IDE market, it became clear to me in a previous post that a lot more Python coders are using VSCode than I was expecting.Now I’ve used... Continue Reading →

4 Awesome COVID Machine Learning Projects

Forward thinking ways to apply Machine Learning in a PandemicPhoto by Neil Thomas on UnsplashNote from the editors: Towards Data Science is a Medium publication primarily based on the study of data science and machine learning. We are not health professionals or epidemiologists, and the opinions of this article should not be interpreted as professional advice. To... Continue Reading →

Rating the 8 Top Python IDE’s in 2020

PyCharm has CompetitionPhoto by Hybrid on UnsplashThe IDE you use can completely change your experience when programming. Especially in the early days when you’re learning, you can find it quite challenging if the IDE you use isn’t geared towards solving the problem that you face.At its best, programming is an expression of creativity because us, as... Continue Reading →

4 Sorting Algorithms in Python

Including Time Complexities and CodePhoto by Olav Ahrens Røtne on UnsplashHave you ever tried to sort a deck of cards by hand? You probably, intuitively, used the insertion sort algorithm. The following article will explain why this algorithm works and how long it takes. The good news is that you do end up with a sorted set,... Continue Reading →

Can you spot a DeepFake?

Facebook’s Contest proves it’s tougher than you think!Can you figure out which are real, and which are fake? Answer at the end of the article. [Image Credits: Facebook]As a machine learning enthusiast and practitioner, news of the results of Facebook’s AI contest twigged my ears.Note: Facebooks Public Announcement on the ResultsStarting back in September 2019, Facebook... Continue Reading →

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