In my last post I described how to use Python’s numpy library to classify an image as being pizza or not pizza. That blog post can be found here:- https://medium.com/@tracyrenee61/use-numpy-to-classify-an-image-as-being-pizza-or-not-pizza-f25c7c3fe9b7 In this blog post I have translated the code in numpy to Jax, which is a python library used for…

Computer vision is a field of computer science that focuses on enabling computers to identify and understand objects and people in images and videos. Like other types of AI, computer vision seeks to perform and automate tasks that replicate human capabilities. …

If an individual is endeavouring to work in the field of data science, he will probably be asked coding questions during a job interview. …

Because there is a great deal of competition in the data science field, it is a good idea study as many practice interview questions as possible in order to discover what skills interviewers want to see in a data science interview. One interview question that I have found is with…

One of the great things about Kaggle competitions is the fact that they enable a person to develop his or her data science skills. The most recent Kaggle playground competition, being season 3 episode 25 is a regression problem that makes predictions on the hardness of minerals. …

In my last blog post I discussed how to classify dog and cat images using a neural network made from numpy. In this blog post I have translated the numpy code into Google’s research library, Jax. Jax has been written very similar to the numpy API, but there are a…

So far, I have written two blog posts on how to use numpy to classify images of dogs and cats. In this blog post, I intend to show another way to classify images and I think the code is more simplistic, so it should be suitable for someone who does…

I think it is a good idea to go over interview questions and to work through them because there are likely to be occasions when a concept comes up that the student is not familiar with. …

While there are machine learning and deep learning libraries, it is always a good idea to have an understanding of how the models are developed in order to enhance the student’s understanding of data science. In this blog post, therefore, I intend to discuss how to create a numpy logistic…