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I train machine to train model.
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Convolution from Mathematical Analysis Convolution from Mathematical Analysis
Convolution is a mathematical operation on two functions (f and g) that creates a third function (f * g) that expresses how the shape of one is modified by the other in mathematics (specifically, functional analysis). If one of the functions participating in the fold is considered to be the indicator function of the interval, the fold can also be considered to be a 'sliding average' promotion. The idea of applying the convolutional operation to image data is not novel or specific to convolutional neural networks. A convolution is simply the application of a filter to an input that results in an activation. In computer vision, it's a common technique.
2021-09-21
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Batch Normalisation and Layer Normalisation Batch Normalisation and Layer Normalisation
The standardisation of inputs may be applied to input variables for the first hidden layer or to the activations from a hidden layer for deeper layers. In common, this normalisation technique is used on the inputs to the layer before or after the activation function in the previous layer. Using normalisation technique, in addition, can make the network more stable during training. In this articale, batch normalisation and layer normalisation will be compared.
2021-09-17
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One-way ANOVA Implemented from Scratch One-way ANOVA Implemented from Scratch
ANOVA (ANalysis Of VAriance) test used to compare the means of more than 2 groups, whilst t-test can only be used to compare 2 groups. ANOVA uses variance-based F test to check the group mean equality. There are two main types of ANOVA, one-way (one factor) and two-way (two factors) ANOVA.
2021-08-29
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Linear Regression using statsmodels Linear Regression using statsmodels
A linear regression to modelling the relationship between a scalar response and one or more explanatory variables is known as linear regression in statistics (also known as dependent and independent variables). Simple linear regression is used when there is only one explanatory variable; multiple linear regression is used when there are more than one.
2021-08-28
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Integrate NLP with Technical Indicators Integrate NLP with Technical Indicators
The aim of this project is to build a model which can make informed buy-and-sell decisions with respect to cryptocurrency trading. The model will do so by leveraging streaming news-feed data (Twitter, Bloomberg, etc.) as well as pricing data (open, close, etc.) to inform its predictions.
2021-06-10
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Simpson Rule for Definite Integrals Simpson Rule for Definite Integrals
Simpson's rules are numerous approximations for definite integrals in numerical analysis, named after English mathematician Thomas Simpson (1710−1761). In calculus, basically, there are two ways to approximate the value of an integral, Reimann sums and Trapezoidal sums. However, calculating the value of an integral, we need to compute the areas of a zillion rectangles or more to get a better result. Therefore, we use Simpson's Rule, which is a way to approximate integrals without having to deal with lots of narrow rectangles.
2021-06-09
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BERT for Text Classification BERT for Text Classification
Deep learning has improved the performance of neural network architectures such as recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) in tackling a variety of Natural Language Processing (NLP) problems such as text categorisation, language modelling, machine translation, and so on. Transfer learning is a method of using a deep learning model that has been trained on a big dataset to perform similar tasks on a new dataset. A deep learning model like this is referred to as a pre-trained model. As a result, the demand for NLP transfer learning was at an all-time high. In the paper "Attention is All You Need," published in 2018, Google unveiled the transformer, which proved to be a watershed moment in NLP.
2021-05-30
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NLP Meets PyTorch Lightning NLP Meets PyTorch Lightning
PyTorch Lightning is a Python package that provides a high-level interface for PyTorch, a well-known deep learning framework. It's a fast, lightweight framework that organises PyTorch code to separate research and engineering, making deep learning experiments easier to comprehend and reproduce.
2021-05-28
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Introduction to Ordinary Least Squares Introduction to Ordinary Least Squares
In empirical finance and many other domains, linear regression and the closely related linear prediction theory are commonly used statistical methods. Because of the wide range of applications, basic linear regression courses normally concentrate on the mathematically simplest scenario, which can be used in a variety of other applications.
2021-05-26
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Skewness and Kurtosis Skewness and Kurtosis
Statistics is a discipline of applied mathematics that deals with the gathering, describing, analysing, and inferring conclusions from numerical data. Differential and integral calculus, linear algebra, and probability theory are all used substantially in statistics' mathematical theories.
2021-05-26
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Tensorflow Speech Recognition Challenge Tensorflow Speech Recognition Challenge
The goal of this article is to create an algorithm that can understand simple spoken commands using the Speech Commands Dataset. We can improve product effectiveness and accessibility by improving the recognition accuracy of open-source voice interface tools.
2021-05-26
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Install RPM Files on Ubuntu Install RPM Files on Ubuntu
On Ubuntu, I will show you how to instal RPM packages. The design of Debian-based systems like Ubuntu and RedHat-based systems like CentOS is quite similar. There are, however, a few minor differences. For example, RPM files are used to represent software packages on RedHat-based systems, while DEB files are used on Debian-based systems. An RPM package can be installed in one of two ways, by converting the RPM file to a DEB file or by installing the RPM file directly. Both approaches are easy, but depending on the package being installed, installing RPM packages on a Debian-based system can cause problems.
2021-05-25
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Busuanzi Unable to Display the Number of Visitors Busuanzi Unable to Display the Number of Visitors
When adding statistics to the number of people and visits to the Hexo blog, according to the standard process of writing, pushing the number of people and visits after running found that the number of people simply do not load. Looking through the information found that the reason, busuanzi because in 2018/10/12 its domain name expired, so the number of people can not be displayed.
2021-05-23
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