This article was written by Sarthak Jain. The real world poses challenges like having limited data and having tiny hardware like Mobile Phones and Raspberry Pis which c...
Unsupervised learning algorithms are “unsupervised” because you let them run without direct supervision. You feed the data into the algorithm, and the algorit...
Running a business is no easy task, for there are far too many that need to be done and managed every single day. And the thing is that a significant chunk of these daily...
Machine learning is not a new tech development, but the ethical issues artificial intelligence presents are at their most historically pressing moment. There are multiple...
Another free book to learn Machine Learning. It also comes with a Youtube video series available here. Content Machine Learning Setup k-Nearest Neighbors / Curse of Dim...
Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. Source: from the Su...
Some original and very interesting material is presented here, with possible applications in Fintech. No need for a PhD in math to understand this article: I tried to mak...
In the early 2000’s, IBM Deep Blue was on the lookout for its next Grand Challenge. It had achieved an exhilarating win over chess grand master Garry Kasparov in 1997...
In a modern world of advanced technologies, our life is literally impossible without cellular telecommunications. Today, smartphones and wireless broadband Internet are c...
This article was written by Liang-Chieh Chen and Yukun Zhu. Semantic image segmentation, the task of assigning a semantic label, such as “road”, “sky”, “person�...