Built-in Machine Learning in the Wolfram Language

• 0
• 1
• 2
• 3
• 4
• 5

You can apply machine learning to diverse subject areas without expert-level knowledge with the help of Wolfram Language. While you can build complicated models from scratch, you can also use any of the existing, pre-trained models on different inputs like text, numbers, and images. This course provides an introduction to the many machine learning functions available for such wide-ranging tasks as image identification, text recognition, sentiment classification and others. Explore the automated machine learning capabilities of Wolfram Language through examples, and learn to execute simple machine learning tasks on different types of inputs, use both named and custom-trained models to perform classification tasks, and apply machine learning to computer vision, text, and natural language processing tasks.

Homepage

https://www.linkedin.com/learning/built-in-machine-learning-in-the-wolfram-language

---

Related News

Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks, 3rd Edition
Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks,... Machine Learning Modern Computer Vision & Generative Ai
Free Download Machine Learning Modern Computer Vision & Generative Ai Published 10/2023 MP4 |... AWS Machine Learning by Example
Updated: September 24, 2019Duration: 1h 25m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 702... Machine Learning: Modern Computer Vision & Generative Ai
Machine Learning: Modern Computer Vision & Generative Ai Published 10/2023 MP4 | Video: h264,...

System Comment

Facebook Comment