Planning Machine Learning Models for Krill in the Antarctic / Adam Sykulski.

Format:

Video

Author/Creator:

Sykulski, Adam, author.

Contributor:

Sykulski, Adam, academic.

Language:

English

Subjects (All):

Machine learning.

Physical Description:

1 online resource (1 video file (00:24:21)) : sound, colour

Place of Publication:

London : SAGE Publications, Ltd., 2025.

Language Note:

Closed-captioned in English.

System Details:

video file

Summary:

Adam Sykulski, PhD, senior lecturer, Imperial College, discusses planning machine learning models for studying krill in the Antarctic, including data analysis, ethical considerations, and research findings.

Contents:

Chapter 1: Adam Sykulski Discusses Establishing the Research Area and Developing the Research Question to Study Krill in the Antarctic Using Machine-Learning Models

Chapter 2: Adam Sykulski Discusses Team Coordination and Ethical Considerations for Studying Krill in the Antarctic Using Machine-Learning Models

Chapter 3: Adam Sykulski Discusses Accessing Data for Studying Krill in the Antarctic Using Machine-Learning Models

Chapter 4: Adam Sykulski Discusses Data Analysis for Studying Krill in the Antarctic Using Machine-Learning Models

Chapter 5: Adam Sykulski Discusses Research Findings on Krill in the Antarctic Using Machine-Learning Models

Chapter 6: Adam Sykulski Discusses Challenges Faced, Lessons Learned, and Shares Advice for Researchers Using Machine-Learning Models.

Participant:

Academic, Adam Sykulski PhD.

Notes:

Description based on XML content.

ISBN:

1-03-623032-5

9781036230326

OCLC:

1526393044