The Best Machine learning tutorial and blogs for Beginners and Experts at Moment For Technology

Tag: Machine learning

9 Reasons machine learning Projects Fail: Did you fall for it?

February 5, 2024

by 呂怡安

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This article summarizes the most common reasons data science projects fail and hopefully helps you avoid the pitfalls. 1. Ask the Wrong Question If you...

Artificial intelligence (ai)

Machine learning field | interpretation most complete machine learning characteristics of the project

February 5, 2024

by Paul Martin

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This paper introduces the knowledge of feature engineering in detail, including data cleaning (data alignment, missing value processing, outlier processing), feature construction, feature transformation, feature...

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Machine learning field | AutoML automation machine learning model

February 5, 2024

by Mrs. Marie Gardner

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This article introduces the tool library FLAML. FLAML is developed by Microsoft Research for AutoML automated machine learning modeling to build end-to-end machine learning processes...

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How do machines learn?

February 5, 2024

by Erin Hammond

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This series is a review of the course "Fundamentals of Machine Learning" by Professor Hsuan-Tien Lin, Department of Information Engineering, Taiwan University. Focus on grooming...

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Machine learning field | Featuretools application automation features of engineering tools

February 5, 2024

by Loretta Hayden

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This article explains the method of automated feature engineering for data using Featuretools, and demonstrates the application of automated feature engineering with the help of...

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AI is not magic. It’s math, statistics, data and programming

February 5, 2024

by 丁怡安

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Coveringhowtogetstartedinmachinelearn Thispieceisthefirstinaseries, called "MachineLearningIsNotMagic,"

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Most complete machine learning field | SKLearn application guide

February 5, 2024

by Stephen Smith

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Scikit-learn covers machine learning basics, SKLearn explanation, SKLearn three core apis, SKLearn advanced apis, etc.

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Machine Learning Exercise 6: SKLearn support Vector Machines (SVM)

February 5, 2024

by Barbara Gonzalez

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In this exercise, we will start with some simple 2D data sets and use SVM to see how they work. As the name implies, SVM...

The back-end

Use storytelling to help you understand SMO algorithms

February 5, 2024

by Kabir Ahuja

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Try to simulate the thought process of the author inventing the algorithm, so that we can easily understand the SMO algorithm.

reading

EM algorithms for Machine learning

February 5, 2024

by Romil Sarraf

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This article has been published by NetEase Cloud community authorized by the author Zhao Bin. Welcome to visit NetEase Cloud Community to learn more about...

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That’s enough for Transfer! (With code)

February 5, 2024

by 周琬婷

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Transfer Learning is A machine Learning method, which takes the model developed for task A as the initial point and re-uses it in the process...

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The realization of three interpolation algorithms commonly used in image processing

February 5, 2024

by Janet Robertson

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For a long time do not knock code, feel a leisure to forget a lot. Thinking about some image algorithms to achieve their own again,...

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Machine learning chapter 9 clustering

February 5, 2024

by Dana Robertson

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Learning notes about Zhou Zhihua's book Machine Learning record the learning process this blog records Chapter9 clustering

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Machine learning Notes: Error and gradient descent

February 5, 2024

by Mr. Jonathan Richards

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1.1 There are two main sources of error, namely bias and variance. Bias reflects the error between the output of the model on the sample...

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Should I use ARTIFICIAL intelligence in my business? What you need to evaluate before introducing AI (2)

February 5, 2024

by Richard Mcclain

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Before ARTIFICIAL intelligence, products were "rules-based." We summarize rules and then let the computer automatically execute these rules. Many problems in our daily work and...

The back-end

【 Dry goods 】Kaggle data mining competition experience sharing

February 5, 2024

by Jivika Grewal

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Founded in 2010, Kaggle focuses on data science and machine learning competitions. It is the largest data science community and data competition platform in the...

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Data preprocessing and feature selection

February 5, 2024

by Ivana Behl

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Combined with some relevant information on the Internet, we sorted out and output this article, which explains the importance of data and the status of...

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Graph theory for Machine Learning (7) : Connectivity

February 5, 2024

by Renee Koshy

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Offer to come, dig friends take it! I am participating in the 2022 Spring Recruit Punch card campaign. Click here for more details." Machine Learning...

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Machine learning — KD-tree principle in detail

February 5, 2024

by 徐馨儀

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Today is the 15th article of machine learning. In the previous article, we talked about related optimization of Kmeans and the famous EM algorithm. We...

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NVIDIA HugeCTR, GPU Version parameter server –(10)– Inference architecture

February 5, 2024

by 李俊賢

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After nine articles, we've basically taken a look at the training process of HugeCTR, and now it's worth looking at how HugeCTR reasons so that...

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PyTorch | 17 kinds of methods to optimize the neural network training

February 5, 2024

by Anita Nelson

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The choice of learning rate schedule has a great influence on the convergence speed and generalization ability of the model. Leslie N. Smith et al.,...

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Machine learning – Opens the door to an integrated approach that takes you hand in hand to implement the AdaBoost model

February 5, 2024

by Patricia Taylor

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Today is the 25th article in our machine learning series about AdaBoost. We have studied several models so far, and there are three algorithms for...

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Graph theory (9) : The concept of matching

February 5, 2024

by Andrew Wheeler

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Offer to come, dig friends take it! I am participating in the 2022 Spring Recruit Punch card campaign. Click here for more details." Machine Learning...

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NVIDIA HugeCTR, GPU version Parameter Server –(9)– Local hash table

February 5, 2024

by Iain Roberts

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HugeCTR is an industry-oriented recommendation system training framework optimized for large-scale CTR models with model parallel embedding and data-parallel dense networks. LocalizedSlotSparseEmbeddingHash are summarized in...

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Heterogeneous Distribute Learning based on TensorFlow distributed thesis [翻译

February 5, 2024

by Ms. Sara Sexton

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In this series we begin by analyzing the distribution of TensorFlow. This paper mainly introduces a classic TensorFlow paper. If you read the following paper,...

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Re: Machine learning – Encoder-Decoder architecture from scratch

February 5, 2024

by Parinaaz Sheth

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Recently, I have been learning Adaptive Style Transfer and carrying out engineering practice. By the way, I have summarized Encoder-Decoder Architecture in deep learning. Encoder-Decoder...

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Machine learning Chapter 8 integrated learning

February 5, 2024

by Ms. Jennifer Byrne

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Learning notes about Zhou Zhihua's book Machine Learning record the learning process this blog is Chapter8

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The illustration of machine learning |, a decision tree model

February 5, 2024

by 唐惠雯

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Decision tree is a classical classification and regression algorithm in machine learning. This paper explains the decision tree for classification, including the core idea of...

Artificial intelligence (ai)

The illustration of machine learning | LightGBM model explanation

February 5, 2024

by Seth Harvey

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LightGBM is an evolved version of GBDT, with excellent performance in efficiency, memory and accuracy. This paper explains the motivation, advantages and disadvantages of LightGBM...