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This article does not involve the depth of each algorithm principle level, the purpose is to help understand these model fusion methods from a macro perspective
Starting from the simplest Voting, this ...
Supervised Learning Algorithms
Naive Bayes Classifier
Naive Bayes classifiers learn parameters by looking at each feature individually and collect simple class statistics from each feature. Three Naive Bayes classifiers are implemented in scikit-learn: GaussianNB, BernoulliNB, and MultinomialNB. GaussianNB can be applied ...
Posted by atrum on Sun, 01 May 2022 21:50:33 +0300
💥 Personal profile 💖 About the author: ⭐ ️heart_6662, still studying (volume), welcome to exchange and correct~ 😜 📝 Personal homepage heart blog🔥 📧 If there are mistakes in the knowledge points of the article, please correct the message 📝! Learn and make progress with you 📣 Series column: Machine Learning 🍁 💬 Maxim: the ...
For speech recognition, the input of training data is a piece of audio and the output is its transcribed text, but we don't know how to align letters and speech. This makes training speech recognition more complex than it seems.
It is very difficult and error prone for people to mark this alignment, because the boundaries ...
Posted by Poofman on Sat, 30 Apr 2022 05:37:58 +0300
Chapter 5 Deformation
import numpy as np
import pandas as pd
First, the deformation of the length and width table
What is a long watch? What is a wide table? This concept is for a certain feature. For example: if a table stores gender in a certain column, then it is a long table about gender; if gender is used as a column name, and the ele ...
Posted by luked23 on Fri, 29 Apr 2022 19:07:00 +0300
I had this idea a few years ago. I wanted to be an assistant that can recognize faces and objects, and can recognize commands through simple dialogues. Similar to the offline enhanced version of Xiao Ai, I can monitor my cabin by the way.
However, I was too busy at the end of the year and didn’t have the time and energy to toss. I ...
Posted by ludjer on Fri, 29 Apr 2022 15:52:37 +0300
openvino Series 6 Monocular depth estimation, input as picture
This case demonstrates how to use MidasNet for monocular depth estimation and input pictures in OpenVINO. Model information can be found in here Found.
Operating environment of this case: Win10IDE: VSCodeopenvino version: 2022.1Code link，3-monodepth-im ...
Posted by shiva on Fri, 29 Apr 2022 15:20:25 +0300
I've been learning to write crawlers in python for several days. Let's write a small crawler to verify the learning results. This article is suitable for Xiaobai to eat. You guys want to have fun~
Tip: This article is for learning and communication only, do not use it for illegal purposes!!!
The text and pictures of this article come f ...
Posted by dickey on Fri, 29 Apr 2022 04:01:20 +0300
As soon as we mention the back-propagation algorithm, we unconsciously think of the derivation of random gradient descent, sigmoid activation function and the back-propagation law that makes the head bigger. Even after learning the principle of back-propagation neural network, we are still confused. Here, we recommend a textbook Python neural n ...
Posted by kendall on Thu, 28 Apr 2022 16:47:15 +0300
1. Overview of bitcoin forecast
Bitcoin prediction is the same as stock prediction. Bitcoin prediction is divided into two parts. The first is model training and the second is model prediction. In model training, I am divided into three parts: data reading, feature selection and model training.
data fetchfeature selection mo ...
Posted by DillyDong on Thu, 28 Apr 2022 03:45:44 +0300