What's new

Welcome to NullScriptz - NulledScriptz

Join us now to get access to all our features. Once registered and logged in, you will be able to create topics, post replies to existing threads, give reputation to your fellow members, get your own private messenger, and so, so much more. It's also quick and totally free, so what are you waiting for?

Latest Thread

Share your content here:

Don't want to upload to our server on NullScriptz, Then share it now on our partner shareupld.com! Upload for free or take a subscription to be sure your files are save !

Knowledge Base

We are building our knowledge-base, find your answers! Or get directly in contact with us by creating a ticket. (In progress..)


  • We are looking for new team members ! Do you think you have it in you, to be a part of an amazing and big community, apply then below on your desired position!
    Become a Uploader! - Become a Moderator

T&M Coursera - Introduction to Data Science (University of Washington)

WinSys32

Founder
Staff member
Global Uploader
Global Moderator
Registered+
Developer
LV
1
 
Joined
Mar 30, 2016
Messages
50,250
Reaction score
3,657
Points
113
Awards
8
Website
www.nullscriptz.nl
Developer Skills
Xenforo: Expert
Country flag

You must be registered for see images

Coursera - Introduction to Data Science (University of Washington)
WEBRip | English | MP4 + PDF Slides | 960 x 540 | AVC ~69.9 kbps | 30 fps
AAC | 117 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | ~17 hours | 1.36 GB
Genre: eLearning Video / Computer Science, Programming

Part 0: Introduction

Part 1: Data Manipulation at Scale

Parallel databases, parallel query processing, in-database analytics

Key-value stores and NoSQL; tradeoffs of SQL and NoSQL

Part 0: Introduction
Examples, data science articulated, history and context, technology landscape
Part 1: Data Manipulation at Scale
Databases and the relational algebra
Parallel databases, parallel query processing, in-database analytics
MapReduce, Hadoop, relationship to databases, algorithms, extensions, languages
Key-value stores and NoSQL; tradeoffs of SQL and NoSQL
Part 2: Analytics
Topics in statistical modeling: basic concepts, experiment design, pitfalls
Topics in machine learning: supervised learning (rules, trees, forests, nearest neighbor, regression), optimization (gradient descent and variants), unsupervised learning
Part 3: Communicating Results
Visualization, data products, visual data analytics
Provenance, privacy, ethics, governance
Part 4: Special Topics
Graph Analytics: structure, traversals, analytics, PageRank, community detection, recursive queries, semantic web
Guest Lectures
Taught by Bill Howe

DOWNLOAD
uploadgig











rapidgator











nitroflare










 

Birthdays

Latest resources

Top Bottom