Advice on navigating the academic and professional career path within the AI and Data field — Who Is Ken Jee? Ken Jee is a Data Scientist and content creator on YouTube who has quickly become everyone's favourite Data Scientist. Ken has helped countless people learn about Data Science, machine learning, and artificial intelligence with his engaging and easy-to-follow videos. More notably, Ken is the initiator of the popular #66daysofdata movement…

How a particle physics researcher transitioned into Machine learning and wrote one of the best books on Natural Language Processing and the Transformer neural network architecture. — “When I started out I actually got rejected like a lot of times because I had a PhD” — Lewis Tunstall, Richmond Alake Podcast Lewis Tunstall is a machine learning engineer at Hugging Face. He started his career in particle physics and has since become an expert in machine learning…

Having a business value mindset when developing AI solutions. Podcast with Lewis Tunstall, co-author of “NLP with Transformers” and Data Engineering resources — I’d like you to grasp the crucial distinction between side projects and the real world: solutions created with cutting-edge deep learning technology for some arbitrary activities will only be relevant in the real world if they provide value — I mean genuine business value. Realising this fact early on in…

An overview of the field of computer vision and how advances in technological infrastructure support its growth and scalability — Artificial intelligence (AI) practitioners and developers that work in computer vision (CV) implement and integrate solutions to problems involving vision within computers and computer systems. Image classification, face detection, pose estimation, and optical flow are typical examples of CV tasks.

Launch of a new podcast. Future of Computer Vision. Build by Tony Fadell. No ML Degree by Emil Wallner and more! — Half Way Already! We are halfway through 2022! The halfway mark has come too quickly, and it’s already felt like an entire year has gone by for others. 2022 continues to be eventful and, at times, unpredictable. During these couple months, I’ve found myself exploring new opportunities and starting projects I never saw…

An explanation of the merge sort algorithm with an implementation in Python — Introduction Data Scientists deal with algorithms daily. However, the data science discipline as a whole has developed into a role that does not involve the implementation of sophisticated algorithms. Nonetheless, practitioners can still benefit from building an understanding and repertoire of algorithms. In this article, the sorting algorithm merge sort is…

Machine Learning algorithms utilise backpropagation and the gradient descent algorithm to simulate learning. Understand the fundamentals of the algorithms and processes involved in the computational simulation of learning within neural networks. — Artificial Neural Networks (ANN) are the fundamental building blocks of Artificial Intelligence (AI) technology. ANNs are the basis of machine-learning models; they simulate the process of learning identical to human brains. Simply put, ANNs give machines the capacity to accomplish human-like performance (and beyond)…