Category Archives: AI
15+ AI Startups for Cancer Prediction / Treatment
This is a list of 15+ startups using artificial intelligence (AI) technologies for cancer/oncology prediction / treatment. Please feel free to suggest if any piece of information given below is incorrect or incomplete. This page will be updated from time-to-time. Startup Name Field of Interest Startup Brief OuroTech Cancer treatment Help doctors identify in advance which drugs are most likely to have the biggest impact killing a type of cancer. Doctor Hazel Skin Cancer Helps predict whether you are having from Skin cancer Color Genomics Genetic testing Focus on testing for mutations leading to a higher risk of certain cancers. Mendel.ai Clinical trials AI to match cancer patients with the latest clinical trials Grail Cancer …
Martin Ford on Impact of AI & Robots on Society
This is a featured post on (Martin Ford), a futurist and author focusing on the impact of artificial intelligence (AI) and robotics on society and the economy. What Martin Ford has been saying / talking about? Here are some news feeds on Martin Ford which features his thoughts on AI and related topics: Who’s enjoying fruits of Innovation: In this article, he pointed out that AI is benefitting business owners, managers and investors more than the average workers. Earlier, workers knowing how to operate machines used to make them valuable enough to help them earn their livelihood. In the current age, machines are becoming autonomous and moving ahead in the …
Data Science – How to Scale or Normalize Numeric Data using R
This article represents concepts around the need to normalize or scale the numeric data and code samples in R programming language which could be used to normalize or scale the data. Please feel free to comment/suggest if I missed mentioning one or more important points. Also, sorry for the typos. Following are the two different ways which could be used to normalize the data, and thus, described later in this article: Why Normalize or Scale the data? Min-Max Normalization Z-Score Standardization Why Normalize or Scale the data? There can be instances found in data frame where values for one feature could range between 1-100 and values for other feature could …
I found it very helpful. However the differences are not too understandable for me