Machine Learning for Robotics Training Course

Course Code

mlrobot1

Duration

21 hours (usually 3 days including breaks)

Requirements

High School maths, basics knowledge of statistics

Overview

이 과목은 로봇 응용 분야에서의 기계 학습 방법을 소개한다.

그것은 패턴 인식의 맥락에서 기존 방법, 동기 및 주요 아이디어에 대한 폭 넓은 개요입니다.

짧은 이론적 배경 후에 참가자는 오픈 소스 (일반적으로 R) 또는 기타 대중적인 소프트웨어를 사용하여 간단한 운동을 수행합니다.

Machine Translated

Course Outline

  • Regression
  • Probabilistic Graphical Models
  • Boosting
  • Kernel Methods
  • Gaussian Processes
  • Evaluation and Model Selection
  • Sampling Methods
  • Clustering
  • CRFs
  • Random Forests
  • IVMs

회원 평가

★★★★★
★★★★★

Related Categories

고객 회사

is growing fast!

We are looking to expand our presence in South Korea!

As a Business Development Manager you will:

  • expand business in South Korea
  • recruit local talent (sales, agents, trainers, consultants)
  • recruit local trainers and consultants

We offer:

  • Artificial Intelligence and Big Data systems to support your local operation
  • high-tech automation
  • continuously upgraded course catalogue and content
  • good fun in international team

If you are interested in running a high-tech, high-quality training and consulting business.

Apply now!