In this chapter, we will be looking at the basics - the idea of prediction, using traditional regression and moving towards learning based methods.
From traditional regression to neural networks - it's not that big a leap as you might think. In this book, let's get a peek into this transition while appreciating how animal kingdom is already using this strategy. We will be taking help from our friend - intuition - time and again.
This online tool can be used to download (extract) captions / subtitles from YouTube in the language of your choice and formats such as plain text, vtt or srt.
This for the connoisseur collector! Save your favorite media from 9gag in an automated fashion using this command-line tool.
See in Wireshark GUI (on Windows, e.g.) packets coming from a remote machine in real time!
Go back to using the old style Wikipedia that had more content per screen (on widescreens), without using browser extensions and without compromising privacy.
Get path to selected items (in Windows explorer) into the clipboard
It's possible! With VS Code, we can connect to a Linux machine from Windows and work on our code as if the code was sitting on our host machine.
Further, we can even configure VS Code to read our SSH config and present us with our pre-configured connections along with the option of using public key authentication.
VS Code in itself is developer's delight. Add remote development to it with (or without) WSL, Docker and Dev Containers - and it is heaven! Well, for a coder at least.
A truly portable and secure solution for managing your 2FA accounts! No need to worry about losing your laptop, phone or changing from Android to iOS or vice versa (well, at least in terms of having your 2FA accounts reconfigured 🙂).
Find solution to a knight's tour problem starting with any position.
Learn about LSTMs, and see why they work the way they do by interacting with one!
It's astonishing to see that by using a very simple mechanism, we can somewhat generate the pattern long and short term memory are supposed to follow.
After constructing the theoretical framework in the last chapter, we will now be dealing with some of the practical difficulties.
From traditional regression to neural networks - it's not that big a leap as you might think. In this book, let's get a peek into this transition while appreciating how animal kingdom is already using this strategy. We will be taking help from our friend - intuition - time and again.
A simple 9x9 Sudoku Solver tool using backtracking. The current version runs on Python.
See the Information Theory in a new light. Understand intuitively how the information of an event naturally relates to its probability and encoding
And, it's nice to know that understanding information theory helps in getting some of the aspects of machine learning as well.
From traditional regression to neural networks - it's not that big a leap as you might think. Let's get a peek into this transition while appreciating how biology has figured out this strategy and worked it to almost perfection. We will be taking help from our friend - intuition - time and again.
In this chapter, we'll be looking at the description of recurrent neural network (RNN).
In this chapter, we will be sharpening our theoretical tools and sneak our way into the mathematics of neural networks.
From traditional regression to neural networks - it's not that big a leap as you might think. In this book, let's get a peek into this transition while appreciating how animal kingdom is already using this strategy. We will be taking help from our friend - intuition - time and again.
A demo tool for scraping share prices from Google Finance.
