Lately, a lot of people are asking me about AI and ML, how to enter the field or how to get started in the field? Before I discuss the things required to be a good data scientist or an AI engineer, let me tell you one thing, remove the notion…


With each passing year, models are getting more complex and bigger. A lot of AI models developed in research labs never see the light of the day. We can see that from 2012 to 2015, state-of-the-art Image recognition models went from being 8 layers to 152 layers. …


“The theory behind AI that everyone should know”

Everyone is using AI these days for almost every task, you feed enough data to a complex model and it will work somehow. There’s a saying in science, the easier your algorithm is, the better your solution is. We should always keep…


Decision Trees are one of the most famous algorithms out there in the field of machine learning. There are many methods based on the decision tree like XgBoost, Random Forest, Hoeffding tree, and many more. A decision tree represents a function T: X-> Y where X is a feature set…


Let me put a question to you, let’s say you are the head of a football stadium, your ticket scanner broke one day and you are asked to find how many people are there in the ground, what will you do?

You ask everyone to take out a coin and…


Time series data is one of the most naturally occurring forms of data. From internet usage to smart bands, from weather data to the stock market, everything comes under the umbrella of the Time series. In this blog, we are not going to talk about LSTM and other DL-based techniques…


All of us know and love the famous K-NN algorithm, it is one of the easiest algorithms to implement. I still remember this was the first-ever machine learning algorithm that I implemented. I’m assuming everyone who is reading this already knows about K-NN.

Before we go on and discuss the…


Logistic regression is considered to be the most basic algorithm in the field of machine learning. It is a very easy and basic algorithm but still, it is considered to be the holy grail of Machine learning. Even companies like Google uses Logistic regression to this day, why because it…


Often in the real world, we see that labels are missing for a lot of problems. For example, take the bank customer data, we often find the labels and other feature columns are missing from the data. …


Anyone who has clicked this link already knows about SVM, but believe me there is a lot going on in the background. So, fasten your seat belts because this going to be a long ride filled with a lot of mathematical equations.

SVM is defined in two ways one is…

Vishal Rajput

AI Researcher who loves writing blogs and codes

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