A supervised machine learning model has two phases, training and testing. When these models are learned, validated, and tested, the test and train data points are normally presumed to have the same distribution. In the real world, however, the training and test datasets rarely follow the same distribution.

This article tends to build a model that predicts stock price in the best way possible. This is an example of how you can use Long Short-Term Memory (LSTM) Neural Network on some real-world time series data with PyTorch. Hopefully, there are much better models that forecast the price of the stock.

In this article, a sentiment analysis is conducted through the lens of Harry Potter. I am a self-confessed Harry Potter devotee. I've read the books multiple times and watched the films more times than I can count. The lines of each characters in the movies are rich in emotionally charged experiences that the reader can viscerally feel. Can a computer capture that feeling? Let's check it out!

In Python, there are several choices of modules for morphological analysis. There are several types of kuromoji such as Janome, Juman, MeCab, and Esanpy, but this time we will use MeCab, which is said to be relatively fast and accurate.

The development of elec-tronic business is accelerated by the popularity of the internet. Millions of people buy products and post their reviews online. Public opinion analysis can be used with these reviews. Customers can make better decisions after reading other people's product reviews. There is a pressing need for building the system which can perform the sentiment classification job. In this article, I'll try to build a sentiment anaylsis model for Japanese customer reviews.

I'm trying to implement neural network from scratch in Python recently. Considering to solve multi-class classification problem using neural network, I try to create a simple neural network. The most important thing in neural network is backpropagation. Backpropagation is an algorithm for supervised learning of artificial neural networks using gradient descent. I want to find the derivation of cross-entropy loss function with softmax activation function, so this article will record the formula I calculated. As for the rest, I will discuss it in the future.

Viterbi Algorithm is usually used to find the most likely sequence in HMM. It is now also commonly used in speech recognition, speech synthesis, diarization, keyword spotting, computational linguistics, and bioinformatics. This semester, in the course "Speech Technology", the acoustic signal is treated as the observed sequence of events, and a string of text is considered to be the hidden cause of the acoustic signal in speech recognition task. The Viterbi algorithm finds the most likely string of text given the acoustic signal.

Tic-tac-toe is a paper-and-pencil game for two players, X and O, who take turns marking the spaces in a 3×3 grid. The player who succeeds in placing three of their marks in a diagonal, horizontal, or vertical row is the winner. It is a solved game with a forced draw assuming best play from both players. In this article, I want to discuss whether there's a must-win strategy for this game.

Paraphrasing and summarizing are vital so that you essay doesn't become one long quote of other academics' work. To paraphrase a piece of text is to write it in your own words. In this article, I will show you how I make an app that will help me rephrase the sentence I need.

Come up with a list of topics that I should research and understand to prepare for the first IBM interview. This interview will likely be more behavioral as well as testing to see how much I know about IBM. 

In this article, I will show you how to find the cube root of 9 digit number. This is a very effective way of finding cube root of such high numbers. If you practise rigorously, you can do it in 10 seconds!

Tower of Hanoi is a mathematical puzzle where we have three rods and n disks. The objective is to move the entire stack to another rod, and follow some simple rules.

Text is a very important unstructured data, and how to represent text data has been an important research direction in the field of machine learning. In this article, I will only discuss the very basic methods, such as Bag of Words, TF-IDF (Term Frequency Inverse Document Frequency), Topic Model, and Word Embedding.

Without sufficient data and suitable features, the most powerful model structure cannot get satisfactory output. As a classic saying goes, "Garbage in, garbage out." For a machine learning problem, the data and features often determine the upper limit of the results, while the selection of models, algorithms and optimization are gradually approaching this upper limit.

The dream of early retirement. Most people are not able to do so. Therefore, we should do a good job of financial planning while we are young. It is not impossible to make a lot of profit from investments. In essence, there are two methods to do investment, fundamental analysis and technical analysis. Fundamental analysis considers all the factors that affect a company's financial and profitability factors. Technical analysis side is to look at the line chart, indicators, etc.

Coursera is the global online learning platform that offers anyone, anywhere access to online courses and degrees from world-class universities and companies. If you can’t afford to pay for a Certificate, you can apply for Financial Aid or a Scholarship through the link on the course home page. Learners with Financial Aid or Scholarships in a course will be able to access all of the course content and complete all work required to earn a Course Certificate. Financial Aid and Scholarships only apply to the course that the application was approved for.

Sudoku is a logic-based, combinatorial number-placement puzzle. In classic sudoku, the objective is to fill a 9×9 grid with digits so that each column, each row, and each of the nine 3×3 subgrids that compose the grid (also called "boxes", "blocks", or "regions") contain all of the digits from 1 to 9. The puzzle setter provides a partially completed grid, which for a well-posed puzzle has a single solution.

In this article, I'll try and show that e, sometimes called Euler's number, is an irrational number 2.718281828459045.... Euler's number is a fantastic number, and it plays a role in just about every aspect of physics, maths, and statistics. There are many ways of calculating the value of e, but none of them ever give a totally exact answer, because e is irrational and its digits go on forever without repeating.