Update 11th Dec 2021: see what Andrej Karpathy is saying about transformers I had been planning to read about the Transformers for a while, but I had to wait until I had a few more days to get my hands on it. This is a seminal concept in NLP and I am going to try […]
Transformers: Why everyone is talking about it? Read More »
Optimizers are needed to find the optimal solution for the given task. Optimizers associate themselves with cost function and model parameters together by updating the model. i.e. when you want to identify weights that minimize your mean squared error in linear regression, you need to use some function to find parameters such that mean squared
A concise overview of cost function optimizers! Read More »
A few years back, when I started my journey in data science, I was fascinated by Kaggle. I used to devote my time there. I was overwhelmed by the knowledge and problems. I wanted to be competitive and kaggle shows their leaderboard. You win and make a name. I used to have casual discussions with
Why Problem Solving is the most important skill in Data Science? Read More »
Hi Guys!How have you been doing? Sorry for not writing anything in past few years. I had been doing crazy shit work. Ohh no.. that is just an excuse, I am telling myself. The motivation of restarting the blog came because I am seeing a lot of junk content on the web about data science(last
Data science is a field which has no ends. It doesn’t matter how much you will read it will always be less. One interviewer told me that you use only 5% of knowledge what you learn in data science. Its actually true. Although the type of questions changes according to the job profiles. I will
Data Science Interview Questions – Part 1 Read More »
Deep learning is pattern recognition via so-called neural networks. Neural networks are a set of algorithms, modeled after the human brain. They are sensors: a form of machine perception. Deep learning is a name for a certain type of stacked neural network composed of several node layers. Each layer’s output is simultaneously the subsequent layer’s
Deep Learning Explained in laymen terms Read More »
Using GPU for deep learning has seen a tremendous performance. It has been reported that execution time using GPU is 10x -50x times faster than CPU-based deep learning and It is also a lot cheaper than CPU-based system. You can see this below in the picture. I was curious to check deep learning performance on
Setting up a GPU based Deep Learning Machine Read More »
In the last article, we have discussed ANOVA test, and it gave us insight into checking the distribution of response variable among groups of an independent variable. Today, we will learn how to check relationships between two categorical variables. http://yesthedataguy.tumblr.com/post/134133746036/how-to-perform-chi-square-test-of
A Data Science Project- Part 4: Chi-Square Test of Independence Read More »
This post is in continuation of A Data Science project series. In this post, We will use ANOVA test whenever we need to check if two or more groups are different from each other or not. i.e. let’s say there are four races in a school – White, Hispanic, Black and Indian. Now school management
A Data Science Project- Part 3: Hypothesis testing and ANOVA Read More »
I hope you have gone through part1 and part2, Today I will tell you not only how to explore data through visualization but also the most important part how to interpret them. Don’t miss reading summary in the end of every post. we will create bar chart, histograms, scatter-plot, box-plots etc. We will also check
A Data Science Project- Part 2: Making Sense of Data Read More »