Pearson – Spark Ray and Python for Scalable Data Science

Pearson – Spark Ray and Python for Scalable Data Science-iLLiTERATE
English | Size: 8.57 GB
Category: Tutorial


7.5 Hours of Video Instruction
Conceptual overviews and code-along sessions get you scaling up your data science projects using Spark, Ray, and Python.

Overview
Machine learning is moving from futuristic AI projects to data analysis on your desk. You need to go beyond following along in discussions to coding machine learning tasks. Spark, Ray, and Python for Scalable Data Science LiveLessons show you how to scale machine learning and artificial intelligence projects using Python, Spark, and Ray.

Skill Level

Beginner to Intermediate

Learn How To
Integrate Python and distributed computing
Scale data processing with Spark
Conduct exploratory data analysis with PySpark
Utilize parallel computing with Ray
Scale machine learning and artificial intelligence applications with Ray

Who Should Take This Course
This course is a good fit for anyone who needs to improve their fundamental understanding of scalable data processing integrated with Python for use in machine learning or artificial intelligence applications.

Course Requirements
A basic understanding of programming in Python (variables, basic control flow, simple scripts).
Familiarity with the vocabulary of data processing at scale, machine learning (dataset, training set, test set, model), and AI.

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