In recent years, Python has become the most popular language for those new to programming due to its ease of use and its growing popularity in the Artificial Intelligence and Data Science Jobs market.
Due to this growing popularity, I decided to list down and explaining the most important data structures in python that every python beginner must understand.
I also have written articles on data science techniques and AI. If interested, click below;
This article covers the following data structures;
If you are a beginner in Python, you might wanna take a look at the following article as well;
For all the young scientists looking for data science jobs or a data science internship, data processing is a skill that is a must-have. You can always learn these skills on the fly but if you know these basic techniques beforehand, they will not only boost your profile but also save a huge amount of your time while working.
After thorough consideration, I have narrowed down the 5 techniques that I learned after having to go through a lot of trouble…
Deep Neural Nets have been used in all sorts of classification tasks, aiding humans in making important decisions or making those decisions themselves altogether.
The distinction between different music genres is one such task on which we can apply deep learning. I decided to start this deep learning project to learn about audio classification and manipulation.
Now here I am sharing my findings with you.
This article will have the following sub-sections;
Let's get started.
The GTZAN dataset is a set of 1000 different audio…
On August 19, TESLA held its “AI Day” event in which the CEO, Elon Musk laid down some important development from the Tesla AI team and showcased some amazing projects. The event was live-streamed on Tesla’s official YouTube channel.
If you missed the broadcast do not worry, this article will cover the 2 most important highlights from the entire stream.
As Google announced their new Pixel phone, the Pixel 6, this month, a very interesting announcement was seen. Google actually announced that these new phones would be launching with a TPU chip on board. Now, this may be quite confusing for most people since very few really know what a TPU is and hence, what this hype is about.
So in this article, I will answer the following questions;
We can answer that by answering a simpler question first.
What is a tensor?
We’ve talked a lot about the general meaning of AI and the impact that it has had on our world. In previous articles we have talked about the types of AI algorithms and when and why those are used. If you missed those you can read them here.
For any of you who have previously researched about AI must have come across the following buzzwords; Computer Vision and NLP.
These are 2 of the most talked-about — and undoubtedly important — branches of AI and these are what we’ll talk about in this article.
By the end of this article…
In my previous article of this series “Fundamentals of AI”, I explained the term Artificial Intelligence from the view point of a common man. If a general overview of ‘A.I’ is what you are looking for then you can start here. In this article, I will be taking an in-depth tour of A.I and Machine Learning VS Deep Learning.
When starting off my data science journey I thought these two terms meant the same thing and that it was all just fancy jargon for Artificial Intelligence. It was not until one of my experienced colleagues asked me to differentiate them…
You’re scrolling past your Facebook feed. You come across an advertisement “Our AI-powered solutions will change your world”. You pay no heed to it and continue scrolling, you come across another article; “Nvidia celebrates breakthrough in AI”, you keep scrolling, however soon you realize no matter how much you try to avoid it, AI follows you everywhere. But what is this AI that everyone talks about? What is this rocket science that is out there to change the world?
If you’ve ever been in a situation similar to the one above, then you’ve come to the right place. …
If you are confused about the theoretical working of the logistic regression algorithm, you can read part 1 here.
The entire code used in this tutorial can be found here.
*THIS IS A TWO-PART SERIES. PART 1 (this one) WILL BE ALL ABOUT THE THEORETICAL UNDERSTANDING OF THE LOGISTIC REGRESSION ALGORITHM. PART 2 WILL BE COVERING THE CODING PART, WHERE WE WILL BE IMPLEMENTING LOGISTIC REGRESSION IN PYTHON*
I have discussed a lot of Machine Learning articles in my previous blogs but most of them were regression algorithms i.e. predicting continuous numbers. This time we shift gears a little and move over to predicting discrete classes.
This time we will discuss the working of the logistic regression algorithm.
Where regression algorithms predict continuous data e.g. the price of a particular…