It would be great if we as devs got to play with limitless memory and never had to care about working with it judiciously. Unfortunately, that isn’t true, and hence, we have to behave like a renter to the OS—rent the memory for a while, use the memory, and then hand it back.
Many a times when we invest in a stock the biggest urge is to sell as soon as possible and book profit. In some cases people have this temptation to sell early because of the speculation that the market might fall and the value of their investments will fall and in some cases people have this dilemma that if they don’t ever sell an investment they will not be able to make money and that money is only made by selling the investments?
Value types are faster to work with since they operate out of the stacks and copying a value is cheap since it happens in a constant time. Values also help us achieve predictable behaviour and isolation whereas, on the other hand Reference types give shared access to Memory locations and dynamic storage. Since reference types […]
All entrepreneurs work to generate more average returns when compared to the bank.
In this blog post, I want to explain certain aspects of investing and try to address certain hardwired autosuggestions that come to our mind when we approach investing in general and then talk about some commonly used terms in investing that will help you understand this space.
This article will show you how to build a neural network that can identify the genre of a song. DataSet: You can find the GTZAN Genre Collection at the following link: GTZAN It has 1,000 different songs from over 10 different genres, with 100 songs per genre and each song is about 30 seconds long. Library Used: Python library, librosa to […]
When you talk about a movie recommendation system, you can’t help but think about Netflix. Netflix is an American entertainment company that uses a model-based collaborative filtering approach for real-time movie recommendation for its subscribers. This article delves into a model-based movie recommendation engine with Spark that recommends movies for new users. You will see […]
The concept of programming paradigms arises owing to the need to classify programming languages. It refers to the way computer programs solve problems through code. Logic programming is a programming paradigm, which basically is a particular way to approach programming. Solving problems using logic programming Logic programming looks for solutions by using facts and rules. […]
In this article, you’ll be introduced to the concept of self-organizing maps (SOMs) and presented with a model called a Kohonen network, which will be able to map the input patterns onto a surface, where some attractors (one per class) are placed through a competitive learning process. Such a model will be able to recognise new patterns […]
This guest post by Rajalingappaa Shanmugamani, the author of Deep Learning for Computer Vision, takes you through three important algorithms for semantic segmentation. There are several deep learning-based algorithms to solve image segmentation tasks. The sliding window approach can be applied at a pixel level for segmentation. This approach takes an image and breaks it […]