Reading Time: 3 minutes Today, while doing my work and having fun programming, I came across a problem that looked pretty easy in the beginning, but after starting doing it, had to take help of Google and read from different sites to get to a nice implementation. So, let’s look at the problem and how to solve it. The Problem Well, you guys probably already have guessed what the Continue Reading
Reading Time: 3 minutes Hello readers! Welcome to another blog in the Java concurrency series. Today, we are going to look at the Reentrant Locks in Java. What it is, how to use it, and mainly, what is the difference between using Reentrant Locks and synchronization. So, let’s dive straight into it. Reentrant Locks Reentrant locks work just like the synchronized locks in java, but have much more facilities Continue Reading
Reading Time: 2 minutes Hello readers, and welcome to yet another blog in the Java Concurrency series. Today, we are going to look at the CountDownLatch class in Java, what it is and how to use it. So, let’s dive straight into it.
Reading Time: 2 minutes Today, I came across a problem and found a beautiful solution for it, which is pretty much straight forward, but the problem may occur to anyone while using the Lombok Library for java. So let’s look at the problem. The Problem I have a class Person, which consists of some fields. It is annotated with the @Builder annotation of lombok, so that lombok can generate Continue Reading
Reading Time: 3 minutes Hello readers! In this blog, we are going to explore about Thread Confinement, what it means and how do we achieve it. So, let’s dive straight into it.
Reading Time: 3 minutes In today’s blog, we will be discussing and understanding the use of atomic variables with regards to concurrency in Java. But before understanding atomic variables, let’s understand what do we mean by atomic or atomicity.
Reading Time: 5 minutes This blog will be aimed towards making the readers aware of how to mutate data in DGraph using the most common data format, JSON. Before diving into the blog, you guys must have basic knowledge and understanding of DGraph – what it is and how to get started with it. I have already written a blog on that as well, which you will be able Continue Reading
Reading Time: 5 minutes In this blog, we are going to look at what the Builder Pattern is and how does it help us construct objects of classes easily. But before understanding that, we need to understand why did we come up with the Builder Pattern in the first place. So, let’s discuss the problem statement due to which the Builder Pattern came into existence.
Reading Time: 2 minutes In this blog, we are going to learn about one of the evaluation metrics that is used for evaluating a classification ML model, which is, Jaccard Index. But first, let’s see what evaluation metrics are.
Reading Time: 3 minutes In this blog, we are going to explore and learn about K-Fold Cross Validation. K-Fold Cross Validation is a statistical method to evaluate a Machine Learning model’s performance. So, to understand what K-Fold Cross Validation is, we first need to understand what evaluating a model means, and why do we need to do that.
Reading Time: 5 minutes This blog is primarily aimed towards getting DGraph up and running on your local machine, create some schema in DGraph(alter), add/delete data from DGraph(mutation) and get the data from it(query). We are going to keep the blog simple, exploring each of the mentioned operation in detail in later blogs.
Reading Time: 2 minutes In many of my previous blogs, I have posted about Association Rule Learning, what it’s about and how it is performed. In this blog, we are going to use Association Rule Learning to actually see it in action, and for this purpose, we are going to use KSAI, a machine learning library purely written in Scala. So, let’s begin. Adding KSAI to your project You Continue Reading
Reading Time: 5 minutes In our previous blogs on Association Rule Learning, we have seen the FP-Tree and the FP-Growth algorithm. We also generated the frequent itemsets using FP-Growth. But a problem arises when we try to mine the association rules out of these frequent itemsets. Generally, the number of frequent itemsets is massive and to run an algorithm on them becomes very memory inefficient. So, to store these Continue Reading
