The growth of the “gig economy” in recent years has revolutionised the way that millions of people work. Proponents argue that the gig economy gives people more flexibility and opportunities and lowers barriers of entry to the labour market, while detractors say that…
In this article, we will explore 3 ways to code an AI with TensorFlow. As you will see, all 3 of them are really powerful in their own ways. In most tutorials, only the first one, the sequential model, is talked about…
Jupyter notebooks are fantastic in many ways but collaboration is not so easy with them. In this article we’ll look at all the tools you can leverage to make notebooks play nicely with modern version control systems like git! Why is Jupyter…
Machine learning algorithms turn a data set into a model. Depending on the nature of learning ‘signal’ available to the system, the algorithms are broadly classified into three types – Supervised, unsupervised, and semi-supervised learning. Further, there are dozens of ML algorithms…
The integration of large datasets and powerful computational capabilities has resulted in the widespread use of machine learning (ML) in science, technology, and industry. However, most of the recent ML developments focus on supervised methods which require large training tests. However, these…
Do you know how your apps work? Are you aware of what tech companies are doing in the back with your data? And what’s more revealing: do you know which of your action are actually influenced by those apps? When you take…
Data annotation in AI world is one of the most crucial processes to make available the set of training data for machine learning algorithms. And computer vision based AI model needs annotated images to make the various objects recognizable for better understanding…
Modern machine learning is arguably the intermediate step between heuristics and artificial intelligence (AI). While AI will be a form of machine learning, the current generation of ideas we use will probably no longer be relevant when a breakthrough happens which allows…
In a paper accepted to the 2020 NeurIPS conference, Google and Stanford researchers explore the bias exhibited by certain kinds of computer vision algorithms — convolutional neural networks (CNNs) — trained on the open source ImageNet dataset. Unlike humans, ImageNet-trained CNNs tend to classify…
Disclaimer: My opinions are informed by my experience maintaining Cortex, an open source platform for machine learning engineering. If you frequent any part of the tech internet, you’ve come across GPT-3, OpenAI’s new state of the art language model. While hype cycles forming…
