Scalable Machine Learning.pdf - Google Drive

HONOR CODE

CERTIFICATE

Berkeley Ameet Talwalkar

Assistant Professor of Computer Science University of California, Los Angeles Visiting Assistant Professor Department of Electrical Engineering and Computer Science University of California, Berkeley

Prashanth BC successfully completed and received a passing grade in

CS190.1x: Scalable Machine Learning a course of study offered by BerkeleyX, an online learning initiative of The University of California, Berkeley through edX.

HON OR COD E CE RTI F I CATE Issued August 06, 2015

Verify the authenticity of this certificate at https://verify.edx.org/cert/6d41df4ebab7450d8314c3ed064dc827

Technical Advisor Databricks

BerkeleyX: CS190.1x Scalable Machine Learning

Course Progress for Student 'PrashanthBC' ([email protected])

100%

100% A 85% B 70%

Week 0 - Course Software Setup

FAQ and Syllabus Quiz (6/6) 100% Quiz Problem Scores: 1/1

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Setting up the Course Software Environment (Due July 4th, 2015 at 07:00 UTC) (100/100) 100% Setup Problem Scores: 100/100

(Optional) Survey about your Machine and Setup Experience Practice Scores: 0/0

(Optional) Alternate Setup for Databricks Users No problem scores in this section

Week 1 - Course Overview and Machine Learning Basics

Lecture 1: Course Overview and Introduction to Machine Learning (7/7) 100% Quiz Problem Scores: 1/1

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Lab1 - Math and Python Review (Due July 11, 2015 at 7:00 UTC) (100/100) 100% Lab Problem Scores: 100/100

Week 2 Introduction to Apache Spark

Lecture 2a: Big Data, Hardware Trends, and Apache Spark (5/5) 100% Quiz Problem Scores: 1/1

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Lecture 2b: Spark Essentials (6/6) 100% Quiz Problem Scores: 1/1

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Lab2 - Learning Apache Spark (Due July 11, 2015 at 07:00 UTC) (100/100) 100% Lab

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Setup

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Problem Scores: 100/100

Week 3 - Linear Regression and Distributed Machine Learning Principles

Lecture 3: Linear Regression and Distributed ML Principles (7/7) 100% Quiz Problem Scores: 1/1

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Lab3 - Millionsong Regression Pipeline (Due July 18, 2015 at 07:00 UTC) (100/100) 100% Lab Problem Scores: 100/100

Lab3 Quiz (8/8) 100% Quiz Problem Scores: 1/1

Week 4 - Logistic Regression and Click-through Rate Prediction

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Lecture 4: Logistic Regression and Click-through Rate Prediction (11/11) 100% Quiz Problem Scores: 1/1

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Lab4 - Click-through Rate Prediction Pipeline (Due July 25, 2015 at 07:00 UTC) (100/100) 100% Lab Problem Scores: 100/100

Lab4 Quiz (13/13) 100% Quiz Problem Scores: 1/1

Week 5 - Principal Component Analysis and Neuroimaging

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Lecture 5: Principal Component Analysis and Neuroimaging (11/11) 100% Quiz Problem Scores: 1/1

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Lab5 - Neuroimaging Analysis via PCA (Due August 1, 2015 at 07:00 UTC) (100/100) 100% Lab Problem Scores: 100/100

Lab5 Quiz (9/9) 100% Quiz Problem Scores: 1/1

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