The Future of AI is in Model Compression

New research can reduce the size of your neural net in a super easy wayPhoto by Markus Spiske on UnsplashThe future looks towards running deep learning algorithms on more compact devices as any improvements in this space make for big leaps in the usability of AI.If a Raspberry Pi could run large neural networks, then artificial intelligence... Continue Reading →

If 2Pac Spoke the Queen’s English

Machine Learning, ProgrammingWhat is Neural Text-Style Transfer?Photo by Jan Střecha on UnsplashIf 2Pac was only allowed to release music under the pretence that his style was to match the Queen’s English, the world would have been a significantly worse place.The advent of Style transfer (the ability to project a style of one text to another) means... Continue Reading →

Is GPT-3 ‘Human’?

Natural Language ProcessingNeural Language Models and the Turing TestPhoto by Armin Lotfi on UnsplashPassing the Turing Test is a goal that many in the machine learning community hope for. It’s a test which if passed, indicates that the behavior of an AI is in-differentiable from a Human Being. In many cases, many applications in machine learning achieve... Continue Reading →

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 →

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 →

How to Join DataFrames in Pandas in Python

{inner, outer, left, right}Photo by Sid Balachandran on UnsplashIn 2008, Wes Mckinney was at the Hedge Fund AQR and developed a small piece of software which became the pre-cursor to Pandas, developing and finalising it later on. Since then, Pandas has become one of the most important Python libraries that most Data Scientists (if not all) use... Continue Reading →

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