• You can log in to your eeworld account to continue watching:
  • Boltzmann machine
  • Login
  • Duration:6 minutes and 8 seconds
  • Date:2020/07/16
  • Uploader:桂花蒸
Introduction
The "Big Data Machine Learning" course is a basic theoretical course for senior undergraduates or graduate students in the information discipline. The purpose is to cultivate students to have an in-depth understanding of the theoretical basis of big data machine learning, a firm grasp of big data machine learning methods, and the ability to solve practical problems. and other comprehensive abilities. The main contents of the course include: basic theories of statistical learning, basic methods of machine learning, and deep learning theories and methods.

Unfold ↓

You Might Like

Recommended Posts

How to become a PLC academic master?
[p=28, 2, left][color=rgb(51, 51, 51)][font=微软雅黑, "]Dear students, in order to have a good learning method, so that you can master the application of PLC in the fastest and shortest time, I have compi
工控老司机 MCU
LCD TV schematic diagram
LCD TV schematic diagram
leslie Mobile and portable
SD NAN storage solution for single chip hunting camera products
[color=#333333][font="][size=14px]The hunting camera is a very interesting product. There are many hunting enthusiasts overseas. Traditional hunting relies on experience. Now that technology is more a
雷龙发展 stm32/stm8
The electroplating process you must know in PCB design
PCB is the abbreviation of printed circuit board in English. Usually, printed circuits are made on insulating materials according to a predetermined design. The conductive pattern composed of printed
mwkjhl PCB Design
Realization and Adjustment of SPWM Wave on MSP430F5529
I won't go into details about the definition and generation of SPWM waves here. This article mainly talks about the implementation of SPWM waves on a single-chip microcomputer, and how to adjust the f
Jacktang Microcontroller MCU
Rail-to-Rail Op Amps
Rail-to-Rail Op Amps
dma2008 Download Centre

Recommended Content

Circuit

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