Building Machine Learning Solutions with Java | Path [2021, ENG] torrent

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Building Machine Learning Solutions with Java | Path

Год выпуска: 2021
Производитель: Pluralsight
Сайт производителя://app.pluralsight.com/paths/skills/building-machine-learning-solutions-with-java
Автор: Federico Mestrone / Nicolae Caprarescu / Janani Ravi
Продолжительность: ~8h
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: Machine learning has transformed our world, initiating new approaches to software development and applications. As a Java Developer to stay ahead of the upcoming changes we can start with implementing simple machine learning solutions. TensorFlow, Hadoop, Spark and Kafka provide Java API’s. This path will explore a few useful resources for Java Developers to get started with Machine Learning.

Prerequisites: [Pluralsight] Deep Learning Literacy | Path
[Pluralsight] Deep Learning Literacy — Practical Application | Path
[Pluralsight] Machine Learning Literacy | Path
[Pluralsight] Machine Learning Literacy — Practical Application | Path
[Pluralsight] Feature Engineering | Path
[Pluralsight] Data Analytics Literacy ► Data Science Literacy | Path
[Pluralsight] Java SE 17 | Path
Statistics

Related Topics: [Pluralsight] How to Think About Machine Learning Algorithms
[Pluralsight] Building Machine Learning Solutions with TensorFlow | Path
[Pluralsight] Building Deep Learning Solutions with PyTorch | Path
[Pluralsight] Building Machine Learning Solutions with scikit-learn | Path
[Pluralsight] Building Statistical and Mathematical Models with R | Path
[Pluralsight] Data Science with Microsoft Azure | Path
[Pluralsight] Java Unit Testing | Path
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Beginner
Get started with Machine learning using Java. This section will cover topics like Data import and manipulation. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)

Intermediate
This section will help you choose the appropriate tool for your machine learning solution. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)

Advanced
In the section you will learn to develop your machine learning workflow using Rapid Miner studio and Weka. These data science platforms are popular for data preparation , machine learning and predictive model deployment. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)
Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)
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Файлы примеров: присутствуют
Субтитры: присутствуют
Формат видео: MP4
Видео: H.264/AVC, 1280x720, 16:9, 30fps, 201 kb/s
Аудио: AAC, 48.0 kHz, 96.0 kbit/s, 2 channels
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