Weekly Digest 1
Café IO's weekly digest to update you with awesome stuff written and published this week. Git & Linear Algebra has been the core theme of the week.
Link to Posts
We hope you had a great week!
We are here with a quick refresher of the posts this week on Cafe IO.
Subscribe to “Coffee and Engineering” to stay updated with fresh content.
Learning Git
Git simplifies the process of working with other people and makes it easy to collaborate on projects. It enables change management and allows tracking of changes made. This week, we published two articles in the series “Learning Git”.
Part 1 was all about getting familiar with Git and understanding how to create repositories on GitHub, operate them and could infer how GitHub enables working in remote repositories easier.
The beauty of collaboration on GitHub is enhanced by its features like branching and merging. It enables teams to work on the same codebase on multiple branches and then merge their code. However, this might cause some conflict while merging. So to resolve that we understood how to resolve merge conflicts in Part 2 of the series “Learning Git”
Thinking in: Linear Algebra
We started a three-part series on Linear Algebra this week on Coffee and Engineering. Our intention for this series is to build upon the knowledge that you possess and provide a computer science perspective to it. The purpose is to provide an insight as to how a Computer scientist could think about Linear Algebra. Apart from being a foundation to ML, AI & Computer Vision; Linear Algebra is the heartbeat for computer science viz. Computer Graphics, Digital Signal processing.
Part 1 of the series will help you gain deeper insights into scalars, vectors. It also sheds some light on the comparison of performance between NumPy arrays and Python lists. In part 2, the focus is on vector arithmetic and other operations. It will help you Comprehend dot product, eigenvalue, eigenvector and understand their significance in real-world scenarios.
Coffee break series: Approaching ML Problems
This week, we also launched our coffee break series which are of just the right length so that you can read then, gain technical stuff as you finish your coffee. In this week’s coffee break series, we discussed how you can approach any ML problem and decide on its system design. The article covered every step in the ML project life cycle in detail to help your ML system become scalable, reliable, maintainable and adaptable.
We will bring some awesome stuff next week also. At Cafe IO, we believe in delivering better than yesterday and we would like you to become a part of our journey. Please subscribe and share the blog with your friends so that they can get to know about us.
Do Like, Share, Subscribe and Invite your Friends! Have a happy weekend