Torrent details for "[UDACITY] Machine Learning Engineer Nanodegree + Version 1.0.0 [2 In 1] [FCO] TGx Exclusive"    Log in to bookmark

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25-11-2018 02:00
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Torrent Contains: 20 Files, 2 Folders
Total Size: 17.7 GB (19,021,664,256 bytes)
Course Source: https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t

Folders Info:

1. Machine Learning Engineer Nanodegree - Size: 12.7 GB
Contains: 1,444 Files, 71 Folders
Description: Machine learning represents a key evolution in the fields of computer science, data analysis, software engineering, and artificial intelligence.
This program will teach you how to become a machine learning engineer, and apply predictive models to massive data sets in fields like finance, healthcare, education, and more.

Projects:

- P0: Titanic Survival Exploration
- P1: Predicting Boston Housing Prices
- P2: Build a Student Intervention System
- P3: Creating Customer Segments
- P4: Train a Smartcab to Drive
- P5: Capstone Project
- Resume Review:

2. Machine Learning Engineer Nanodegree V1.0.0 - Size: 5.37 GB
Contains: 4,260 Files, 145 Folders
Description: Become a machine learning engineer and apply predictive models to massive data sets in fields like education, finance, healthcare or robotics.

- Course Info .txt + Course Index Added Into Folder.

Why Take This Nanodegree Program?

This program will equip you with key skills that will prepare you to fill roles with companies seeking machine learning experts (or to introduce machine learning techniques to their organizations). Machine learning is literally everywhere, and is often at work even when we don’t realize it. Google Translate, Siri, and Facebook News Feeds are just a few popular examples of machine learning’s omnipresence. The ability to develop machines and systems that automatically improve, puts machine learning at the absolute forefront of virtually any field that relies on data.

For More Udemy Free Courses >>> http://www.freetutorials.eu
For more Lynda and other Courses >>> https://www.freecoursesonline.me/
Our Forum for discussion >>> https://discuss.freetutorials.eu/


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