Machine learning projects with Java / Tomasz Lelek.

Format:

Video

Author/Creator:

Lelek, Tomasz, author, speaker.

Contributor:

Packt Publishing, production company.

Series:

Academic Video Online

Language:

English

Subjects (All):

Machine learning.

Java (Computer program language).

Genre:

Instructional films.

Physical Description:

1 online resource (133 minutes)

Place of Publication:

Birmingham, England : PACKT Publishing, 2019.

Language Note:

In English.

System Details:

video file

Summary:

Perform classification using the Weka Library. Implement Pattern Recognition of non-labeled data. Build Regression models for data with multiple features. Save trained models for further reusability. Learn how to perform cross-validation. Leverage Deep Learning in ML problems. Implement Natural Language Processing with Deep Learning. About: Developers are worried about using various algorithms to solve different problems. This course is a perfect guide to identifying the best solution to efficiently build machine learning projects for different use cases to solve real-world problems. In this course, you will learn how to build a model that takes complex feature vector form sensor data and classifies data points into classes with similar characteristics. Then you will predict the price of a house based on historical data. Finally, you will build a Deep Learning model that can guess personality traits using labeled data. By the end of this course, you will have mastered each machine learning domain and will be able to build your own powerful projects at work.

Participant:

Presenter, Tomasz Lelek.

Notes:

Title from resource description page (viewed March 30, 2020).

OCLC:

1099564750