Machine Learning

This article is about Learning Guide for Big Data Specialists from Zero (Full Upgrade) ClickHouse: Partial supplement. Querying the CK manual found that even Mergetree, which best supports data consistency, only ensures final consistency: 1 Prepare test tables and data (1) Create tables CREATE UTF-8...

Posted by **vinnier** on *Wed, 22 Sep 2021 23:41:45 +0530*

Chapter III model building and evaluation - Evaluation According to the modeling of the previous model, we know how to use the sklearn library to complete the modeling, as well as the division of the data set we know. So how do we know if a model works? So that we can safely use the results givUTF-8...

Posted by **nuttynibbles** on *Thu, 23 Sep 2021 20:45:15 +0530*

XDU machine learning first job 1, Linear regression Regression problem is a very common problem. The purpose is to find the relationship between variables. For example, we should look for the relationship between house area and price, the relationship between age and height, the relationship bUTF-8...

Posted by **ereptur** on *Fri, 24 Sep 2021 12:59:33 +0530*

1. File reading and storage Learning Objectives target Understanding several file read and store operations for PandasReading and Storing Files by CSV and HDF application Implement read and storage of stock data Our data is mostly in files, so pandas supports complex IO operations, and pandas AUTF-8...

Posted by **beckjoh** on *Sat, 25 Sep 2021 21:53:12 +0530*

Note: All functions are for the watermelon dataset only. If you need to classify other datasets, simply find the column in the dataset where the target values (yes and no for a good melon) are located (the last column in the watermelon dataset), and then you will need to replace the code that rUTF-8...

Posted by **venkat20** on *Sun, 26 Sep 2021 23:58:20 +0530*

Project introduction Text classification is one of the application fields of natural language processing. Text classification is the basic type of many other tasks. This project is the simplest binary classification problem. This project will introduce how to convert text data into numerical feUTF-8...

Posted by **Marqis** on *Wed, 29 Sep 2021 00:24:50 +0530*

Content introduction XGBoost is an effective implementation of gradient lifting for classification and regression problems. It is fast and efficient, performs well or even best on a wide range of predictive modeling tasks, and is the favorite of winners of data science competitions, such as thUTF-8...

Posted by **Harbinger** on *Wed, 29 Sep 2021 07:28:41 +0530*

Design 8: Particle Swarm Optimization Solution Traveler (TSP)Problem, one of the well-known problems in mathematics, has proven to be NPC computational complexity. It assumes that a traveler visits n cities and must choose the route he wants to take. The limit of the route is that each city canUTF-8...

Posted by **Harbinger** on *Thu, 30 Sep 2021 22:21:57 +0530*

Catalog 1. Preface 1.1 Introduction 1.2 Internal Covariate Shift 2. Batch Normalization (BN) Principle of 2.1 BN Details of 2.2 BN Role of 2.2.1 BN How many BN parameters do 2.2.2 convolution layers have? Can 2.2.3 BN have no Scale & Shift process? 2.2.4 BN Layer before or after ReLU? Why is tUTF-8...

Posted by **aviatorisu** on *Sat, 02 Oct 2021 21:50:26 +0530*

1, HMM overview 1. Introduction Folklore tells us that the state of algae has a certain probability relationship with the state of weather - the state of weather and algae is closely related. In this example, we have two sets of States, the observed state (algae state) and the hidden state (weUTF-8...

Posted by **ernie** on *Sun, 03 Oct 2021 01:05:55 +0530*