• You can log in to your eeworld account to continue watching:
  • Probability Density Estimation – Gaussian Mixture Model
  • Login
  • Duration:3 minutes and 47 seconds
  • Date:2022/12/21
  • Uploader:老白菜
Introduction
keywords: Machine Learning ML
Zhejiang University Machine Learning Course
Unfold ↓

You Might Like

Recommended Posts

Does anyone know of a method to detect food calories using sensors?
[size=3]As the title says, a hardware manufacturer is looking for engineers to work with to develop hardware for detecting calories. Does anyone know of methods like using sensors to detect food calor
eric_wang Mobile and portable
Graduation project needs advice
I am a senior in college. I don't know what to do for my graduation project in communication engineering. I would like some advice from an expert.
ZF追风 DIY/Open Source Hardware
What is the difference between portable gait analysis MSGA and conventional gait analysis?
Gait analysis is used to assess, plan, and treat an individual's walking ability. It is also often used in sports biomechanics to help athletes run more efficiently, and to identify whether injuries a
smartsens_2017 Medical Electronics
Asking for advice: F28335 XINTF sometimes reads and writes abnormally after power-on
[align=left][color=#000][font="][size=12px] I used the XINTF of F28335 to connect TL16C754 to expand the serial port. After using the regulated power supply to power the board, the XINTF reading and w
zyw115 Microcontroller MCU
HDMI application market has broad prospects
High-Definition Multimedia Interface (HDMI) has become a widely used interface standard for digital televisions and consumer electronics products, bringing high-quality experience to home entertainmen
rain MCU
Please tell me how to use logic circuit to generate such timing
As shown in the figure below, A and B are inputs, and C is output. After B generates a high level, C outputs a high level at the rising edge of A. C outputs a low level at the rising edge of B. If B m
littleshrimp FPGA/CPLD

Recommended Content

可能感兴趣器件

EEWorld
subscription
account

EEWorld
service
account

Automotive
development
circle

About Us Customer Service Contact Information Datasheet Sitemap LatestNews


Room 1530, 15th Floor, Building B, No.18 Zhongguancun Street, Haidian District, Beijing, Postal Code: 100190 China Telephone: 008610 8235 0740

Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved 京B2-20211791 京ICP备10001474号-1 电信业务审批[2006]字第258号函 京公网安备 11010802033920号