Download CIT-651 Introduction To Machine Learning and Statistical Analysis (42 Hours, 14 Lectures) PDF Free - Full Version
Download CIT-651 Introduction To Machine Learning and Statistical Analysis (42 Hours, 14 Lectures) by ['Amgad Alsisi'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About CIT-651 Introduction To Machine Learning and Statistical Analysis (42 Hours, 14 Lectures)
The document outlines the structure and course descriptions for a Big Data & Data Science diploma program. The diploma requires completion of 4 courses over 2 semesters, plus a group project. Courses cover topics like Spark, Hadoop, machine learning, data mining, and data science. One introductory course covers probability, statistics, linear algebra, and machine learning algorithms like decision trees and neural networks. Course descriptions provide learning objectives, textbooks, and weekly topic outlines.
Detailed Information
| Author: | ['Amgad Alsisi'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 4 |
| Language: | English |
| Format: | |
| Price: | FREE |
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