Big data is a term used to refer to datasets that are too large or complex for traditional data processing applications. It is used to describe the massive volume of structured and unstructured data that is being generated from sources such as social media, online transactions, and satellites. Exploring big data and mining for information often leads to the discovery of powerful new insights. If your new to big data here’s a few things you need to consider:...
In theory most of the challenges we face today can be solved with ML. There has been amazing progress recently with OpenAI, but Machine learning is sill very young. In many fields the mindset of if it ain’t broke don’t fix it is persistent. A perfectly reasonable approach if the job is getting done with non ML methods. But progress is inevitable, to harness the powerful problem solving capacity of ML, we need to overcome the following roadblocks:...
Deep learning (DL) is a tool which we can apply to solve problems computationally. The inner workings are inspired by the neurons in our brain, replicating this in a simplified way. In any scenario where you can identify a pattern, DL can probably be trained to do the same thing. From simple things like separating images of cats and dogs to predicting the risk of cancer in medical imaging. DL specifically has a strength which sets it apart from other machine learning methods, that is to identify features autonomously....