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Finance 2B
Finance 2B
By: Michael De Gouveia
1) Bond Prices and yields (Chapter 14), 2) Bond market participants, 3) Fitch and Moody article ...21Decks433Flashcards2Learners -
CS/UX: Front-End Software Development
CS/UX: Front-End Software Development
By: Cavatina Elegy
Intro, HTML, CSS ...8Decks318Flashcards2Learners -
Machine Learning
Machine Learning
By: Henry Yeomans
Probability, Basic concepts in Machine Learning, Linear and Logistic Regression ...7Decks126Flashcards3Learners -
INFO3330
INFO3330
By: PaCheryl Ba'ally
CSS/Bootstrap, JavaScript syntax and operators, JavaScript and the DOM ...13Decks83Flashcards1Learner -
TCP/IP
TCP/IP
By: Joshua Shomo
Link Layer, IP Routing, ARP: Address Resolution Protocol ...17Decks109Flashcards48Learners -
Front End
Front End
By: Muhammad Y. Ibrahim
mode 1 XML, mode 2 HTML/CSS/BOOTSTRAP, mode 3 JavaScript ...6Decks100Flashcards2Learners -
COD - General
COD - General
By: Steve Holt
General, Company Spec - Slync, HTML ...17Decks235Flashcards1Learner -
dapr
dapr
By: Trudi Reynolds
Power (pwr), endogeneity, exploratory vs confirmatory analysis ...21Decks208Flashcards1Learner -
Web Info
Web Info
By: Caiti and Commerce of Reynard
Intro, Failure of Web Apps, Potential Exam Questions ...23Decks261Flashcards10Learners -
webfejlesztés
webfejlesztés
By: Rajmund Weimert
HTML, CSS, Python ...5Decks117Flashcards2Learners -
DAPR 2
DAPR 2
By: Emily Etty
1. Introduction to Linear Model, 2. Multiple Regression, 3. Testing and Evaluating Linear Models ...18Decks357Flashcards2Learners -
Udemy Web Dev Course Notes
Udemy Web Dev Course Notes
By: Na’im Muhammad
How the Internet Works, How websites work, Introduction to HTML ...25Decks249Flashcards1Learner -
LFZ
LFZ
By: michael valenzuela
html, CSS, Javascript ...7Decks373Flashcards1Learner -
Startup Financing
Startup Financing
By: Jonas Mayer
Introduction & Theory, Tutorial 1: Digital Business Metrics, Venture Valuation: Introduciton ...9Decks89Flashcards7Learners -
Statistics
Statistics
By: jack totten
Displaying Data, Stats and Errors, Hypothesis testing, The T test ...11Decks146Flashcards5Learners -
Intangible Technologies
Intangible Technologies
By: Charlene Dilig
Prelims - CSS (Syntax&Selectors), Prelims - Inserting CSS, Prelims - CSS colors ...21Decks211Flashcards2Learners -
Programování
Programování
By: Krzysztof Kobus
[Bootstrap Knowledge], CSS, SCSS, Angular ...6Decks55Flashcards1Learner -
Statistik M2
Statistik M2
By: Lisa Gorokhov
Einführung in die Statistik, Einführung in R/RStudio, 3. Univariate deskriptive Statistik Lagemaße ...17Decks207Flashcards1Learner -
DAPR 2 Em
DAPR 2 Em
By: Crystal Z
1. Introduction to Linear Model, 2. Multiple Regression, 3. Testing and Evaluating Linear Models ...18Decks357Flashcards1Learner -
Web Development Essentials
Web Development Essentials
By: Lancelot Du Lac
Github, Bootstrap reminders, Methodology: Agile Scrum ...13Decks237Flashcards1Learner -
Javascript & HTML
Javascript & HTML
By: Huy Dang
Basics, Css, bootstrap ...4Decks129Flashcards1Learner -
HTML, CSS & Javascript
HTML, CSS & Javascript
By: J S
CSS, Javascript 1, Bootstrap 43Decks106Flashcards1Learner -
Statistical learning 2.0
Statistical learning 2.0
By: Camille Ksr
Block 1: Regression and variable selection, Block 2: Distance-based methods, Block 3: Modern Regression ...5Decks83Flashcards2Learners -
PPC & SEO / SEM
PPC & SEO / SEM
By: Andre Silva
DGM Mindset, DGM in Plain English, Free + Paid Social Strats ...4Decks68Flashcards1Learner -
Front-End: CSS
Front-End: CSS
By: R B
Basics, Layouts, Materialize ...20Decks122Flashcards2Learners -
ASP.Net Core
ASP.Net Core
By: Mario Bosak
ASP.Net Basics, Razor Pages, MVC ...8Decks21Flashcards2Learners -
Advanced Applied Statistics
Advanced Applied Statistics
By: Niko Dice
1. Introduction, Frequentist inference, 2. Parametric models, Exponential families, 3. Bayesian inference, Empirical Bayes ...9Decks129Flashcards2Learners -
QCWEEK4
QCWEEK4
By: Nathan Albin
HTML, CSS, and Bootstrap, SQL2Decks103Flashcards1Learner -
MT4113 - Computing in Statistics
MT4113 - Computing in Statistics
By: Miranda McNeill
Lecture 1 - Software for Statistics, Lecture 2 - Algorithms to Functions, Lecture 3 - Functions, Scoping and Software Development ...12Decks162Flashcards2Learners -
DATA 311
DATA 311
By: Ini Oladosu
3 - Assessing Models, 11 - Clustering, 12 - Cross Validation ...14Decks83Flashcards3Learners