Category: Uncategorized

Every February 11th, we celebrate International Day of Women and Girls in Science (IDWGIS) to help celebrate those working in science, technology, engineering, and mathematics (STEM) fields around the world. IGWGIS was created to bring light to the gender gap that exists in the STEM world, where even though we have made great strides, women

Mentoring Matters: STEM Connector By Laura Eamon and Sarah Kilford Meet Sarah and Laura, two of the three co-op students gaining work experience in Halifax’s ocean industry this summer. Having already completed a Bachelor of Arts in Sustainability, Sarah is now a computer science student at Dalhousie University. Laura is an economics student at Saint

Happy World Ocean Day, Ocean Week Canada, Ocean Festival, and Ocean Decade!   Annually on and around June 8, millions of people from 150+ countries participate in countless ways to take action on behalf of our shared ocean, such as organizing school events, aquatic cleanups, and community engagement through science and art.   What’s happening globally

This it the final part of a three part series of how to build a dataset ofr machine learning.  Find the previous parts below: Part 1: https://deepsense.ca/2022/02/09/blog-building-your-own-dataset-for-machine-learning/  Part 2: https://deepsense.ca/2022/02/17/part-2-acquiring-external-data/ Watch Amit’s Discovery Session on how to build an image based dataset: https://www.youtube.com/watch?v=3TT4hySJVvA  ~~~~~~~ How much data is enough?  Web scrapping is actually quite fun and

Find Part 1 of the blog series here: https://deepsense.ca/2022/02/09/blog-building-your-own-dataset-for-machine-learning/  Watch Amit’s Discovery Session on how to build an image based dataset: https://www.youtube.com/watch?v=3TT4hySJVvA  Here are a few of the most relevant libraries for web scrapping:  Requests: a python library for making http request such as GET, POST etc. It is much simpler and easy to use than

The following blog is Part 1 of a 3 Part Blog Series! Find Part 2 here: https://deepsense.ca/2022/02/17/part-2-acquiring-external-data/  Watch Amit’s Discovery Session on how to build an image based dataset: https://www.youtube.com/watch?v=3TT4hySJVvA  We live in the information age. It is said to be a period in human history characterized by a shift from industrial production to one based

Before I joined IBM, I was working in a different field (DevOps, System Administration, Server Administration) which suited my passions well. But once I joined IBM, I was first asked to take up a project completely different from what I have done so far, a very intimidating situation. But, through the guidance and motivation from those

‘Would you be interested in writing a short blog we can post, to help other students try new things?’ ‘Yes, definitely’ It has been some days after the first Ocean of Data Challenge came to an end. For a quick recap, the challenge was to use open-source ocean data to explore the opportunities with the

One of the most common challenges anyone working on a machine learning or data science project faces is the computing time and memory problem of using a vast amount of data. Huge data requires huge computing resources to save time and memory.   We worked on a project related to fish tracking. A fish tag,