AI v ML v Logistic Regression
When you are fundraising, it’s AI. When you are hiring, it’s ML. When you are implementing, it’s logistic regression – Everyone
When you are fundraising, it’s AI. When you are hiring, it’s ML. When you are implementing, it’s logistic regression – Everyone
Surely you have heard of many fantastic applications where Deep Learning is being employed. There are a few options for us to implement deep learning methods: TensorFlow, PyTorch, Caffe Keras and MXNet. In my recent… Read More »Tensorflow, PyTorch or Keras for Deep Learning
Whether you are a Machine Learning enthusiast, or a Data Science ninja training models for all sorts of applications, you may have heard of the need to use graphical processing units (GPUs) for machine learning and Artificial… Read More »Powering Up Machine Learning with GPUs
Are you interested in exploring data using Python? If so, take a look at my this blog post of mine… where I talk about using Pandas Profiler and D-Tale to carry out data exploration. Helpful… Read More »Data Exploration with Pandas Profiler and D-Tale
This is a video I made for my publisher about my book “Data Science and Analytics with Python”. You can get the book here and more about the book here. The book provides an introduction… Read More »Data Science and Analytics with Python – Video
This is a reblog of a story in ScienceDaily. See the original here. Underwhelming results underscore the complexity of language evolution while showing promise in some current applications Researchers have investigated the ability of machine… Read More »Sci-Advent – New study tests machine learning on detection of borrowed words in world languages
This is a reblog of the post by Hayley Dunning in the Imperial College website. See the original here. Researchers have used AI to control beams for the next generation of smaller, cheaper accelerators for… Read More »Sci-Advent – Artificial intelligence improves control of powerful plasma accelerators
This is a reblog of the article by Cian Hughes and Sumit Agrawal in ENTNews. See the original here. Machine learning in healthcare Over the last five years there have been significant advances in high… Read More »SciAdvent – Machine Learning in Ear, Nose and Throat
This is a reblog from an article by John Naughton in the Guardian on Dec 5th 2020. Read the original here. My eye was caught by the title of a working paper published by the… Read More »Sci-Advent – Writing Reports Tailored for AI Readers
This survey paper extracts practical considerations from recent case studies of a variety of ML applications and is organized into sections that correspond to stages of a typical machine learning workflow: from data management and… Read More »Sci-Advent – Challenges in Deploying Machine Learning: a Survey of Case Studies