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Summary of Li Hongyi's machine learning notes Course links Review The more complex the model, the lower the error on the testing data. error comes from two places: biasvariance f_star is f_ An estimate of hat, f_star may not be equal to f_hat, the distance may come from bias or variance Estimate the mean value of variab ...

preface I don't know what to write in this preface. Let's encourage each other. 1, KeyFrame In short: a key frame is a representative of several ordinary frames. 1. Function and significance Reduce the information redundancy in local adjacent key frames;In SLAM scheme, the depth of ordinary frame will be projected onto the key fr ...

1, Bayes theorem 1. Introduction           Bayesian theory is named after Thomas Bayes, A theologian in the 18th century. Generally, the probability of event A under the condition of event B (occurrence) is different from that of event B under the condition of event A (occurrence); However, there i ...

All code for this experiment has been uploaded to your personal github repository: https://github.com/Scienthusiasts/Machine-Learning Logistic Regression for Gesture Recognition A long time ago, bloggers themselves had conceived a complete gesture recognition system with an interface, which could not only detect the gesture of the hand, b ...

preface stay Flink of big data (Part I) In this paper, we introduce the characteristics, architecture, two-stage submission and data flow of Flink. This paper introduces the unique operator of Flink and the case of implementing WordCount with Flink 1, split and select operators The split operator splits a DataStream into two or more ...

preface This learning note is the learning content of Alibaba cloud Tianchi Longzhu plan machine learning training camp. The learning links are: https://tianchi.aliyun.com/specials/promotion/aicampml Competition link: Come and explore happiness together! Friendly reminder: I just started learning machine learning. Some places may not b ...

1, Experimental purpose This experiment aims to let students have a preliminary understanding of pattern recognition and have a deep understanding of Bayesian classification algorithm according to their own design 2, Experimental principle 1. Bayesian classification algorithm         Bayesian classification algorithm is a ...

The links included in the development and application of machine learning introduce the method and process of running machine learning based on Tensorflow framework on apache hadoop yarn (Introduction to the links involved in development and application of machine learning, and the method and process of running machine learning based on ...

  import com.bean.Yyds1 import org.apache.spark.sql.SparkSession object TestReadCSV { def main(args: Array[String]): Unit = { val spark = SparkSession.builder() .appName("CSV Reader") .master("local") .getOrCreate() /** * Parameters can be either strings or specific types, such as boolean * delimiter Separat ...

catalogue 1, Basic concept of regression 2, Classification based on Logistic regression and Sigmoid function 3, Determination of optimal regression coefficient based on optimization method 1. Maximum likelihood estimation Recap 2. Gradient rise method 3. Prepare data: a simple data set 4. Training algorithm: use gradient rise to find the ...