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Tag: technology

Stack Implementation example in Java

by Sunny Srinidhi - 2

More in The Data Structures series. A stack is one of the most simplest data structure to understand. If you had data structures in your academia, you already know what it means. It’s a simple Last In First Out (LIFO) queue. What that means is the last element to enter the stack will be first element to go out of the stack. Let’s try to understand the concept first with a few illustrations. The concept Suppose we have an empty container which looks like the container shown in the image below: Empty stack That’s pretty simple to understand. Now suppose again that we “push” a string with value “string1” to this empty stack. The stack now looks like this: Stack with one element That’s pretty simple to

Understanding Word N-grams and N-gram Probability in Natural Language Processing

by Sunny Srinidhi - 2

More in The fastText Series. N-gram is probably the easiest concept to understand in the whole machine learning space, I guess. An N-gram means a sequence of N words. So for example, “Medium blog” is a 2-gram (a bigram), “A Medium blog post” is a 4-gram, and “Write on Medium” is a 3-gram (trigram). Well, that wasn’t very interesting or exciting. True, but we still have to look at the probability used with n-grams, which is quite interesting. Why N-gram though? Before we move on to the probability stuff, let’s answer this question first. Why is it that we need to learn n-gram and the related probability? Well, in Natural Language Processing, or NLP for short, n-grams are used for a variety of things.

Data Science vs. Artificial Intelligence vs. Machine Learning vs. Deep Learning

by Sunny Srinidhi - 0

It’s very common these days to come across these terms - data science, artificial intelligence, machine learning, deep learning, neural networks, and much more. But what do these buzzwords actually mean? And why should you care about one or the other? I’m trying to answer these questions in this post, to the best of my capacity. But then again, I’m no expert here. This is the knowledge I’ve gained in the last few years of my data science and machine learning journey. I’m sure most of you will have better and easier ways of explaining things than I do, so I’ll be looking forward to reading your comments down below. Let’s get started then. Data Science Data science is all about data,

Top Five Machine Learning courses for beginners on Udemy

by Sunny Srinidhi - 2

Everybody wants to do machine learning these days. Machine learning, data science, artificial intelligence, deep learning, neural network — these have become some of the most used phrases in the tech space today. I’m not saying it’s particularly bad, but it definitely gets scary for somebody who doesn’t really know what all this means but wants to get into the rat race. When you think about it, from a software developer’s point of view, these are just different types of software or applications you work on, but with more math involved. I know I’m oversimplifying what data science is, but for somebody who doesn’t have a mathematics or statistics background, it is very difficult to understand the jargon initially. I’ve been there,

Sub-6 and Millimeter Wave (mmWave) frequencies for 5G – All you need to know

by Sunny Srinidhi - 0

5G is the next obvious upgrade to 4G and LTE that we use extensively today for our data needs when we're on the go. LTE was a huge upgrade from the much slower 3G a few years back. But in 2019, we're seeing over 1Gbps speeds with 5G. To make this a reality, wireless carriers are using a combination of different technologies and waves. In this post, I'll try to explain two of those which we see and hear in most conversations revolving around 5G - Sub-6 and Millimeter waves. To understand sub-6 and millimeter waves (mmWaves), we first need to understand how our smartphone radio signals function. As you all know, we have cell phone towers or antennas placed all

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