Data science describes the activities related to collecting, storing and creating value from data. Creating value from data means using it to do useful things, like making better decisions. By analyzing data we can detect patterns in it and understand the process that generated it. This i
From playlist Data Science Dictionary
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Big Data
Differences between primary data and secondary data in research.
From playlist Experimental Design
Discrete Data and Continuous Data
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Discrete Data and Continuous Data
From playlist Statistics
Data Visualization: Types of Data
Here I introduce different types of data and highlight common ways to visualize them. Bing Brunton's website: www.bingbrunton.com
From playlist Intro to Data Science
Intro to Data Science: The Nature of Data
This lecture discusses the types of data you might encounter, and how it determines which techniques to use. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
Data Science For Absolutely Everyone
A walk through the practice of data science for all audiences. No math, no programming, just plain English. PERMISSIONS: The original video was published on Brandon Rohrer YouTube channel with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: ht
From playlist Data Science
Data Science Tutorial for Beginners - 1 | What is Data Science? | Data Analytics Tools | Edureka
( Data Science Training - https://www.edureka.co/data-science ) Data Science Blog Series: https://goo.gl/1CKTyN http://www.edureka.co/data-science Please write back to us at sales@edureka.co or call us at +91-8880862004 for more information. Data Science is all about extracting knowledge
From playlist Data Science Training Videos
NATS & Turing EPSRC Prosperity Synthetic Data Generation and Assessment - Mihaela van der Schaar
Introduction The Innovation Symposium was established in 2019 as part of the ongoing collaboration between Accenture and The Alan Turing Institute. Our recently launched strategic partnership has the following goals: - Delivering value from AI and data - Enabling safe and robust applicat
From playlist Innovation Symposium 2021
"Is There a Future for Public Use Data?"
2022 Clifford C. Clogg Memorial Lectures November 3, 2022 Dr. Jerry Reiter, Dean of the Natural Sciences and Professor of Statistical Science, Duke University "Is There a Future for Public Use Data?" For decades, research and education in the social sciences have been facilitated by re
From playlist Clifford C. Clogg Memorial Lectures
SetFit and SBERT: ZERO Shot Classification w/ synthetic Data Set added (SBERT 47)
SetFit (trained on SBERT) was designed for few-shot learning, but the method can also be applied in scenarios where no (or not enough) labeled data is available for ZERO-Shot classification w/ synthetic data set added. The main trick is to create synthetic examples that resemble the clas
From playlist SBERT: Python Code Sentence Transformers: a Bi-Encoder /Transformer model #sbert
Leveraging Public Data for Practical Synthetic Data Generation
A Google TechTalk, presented by Jonathan Ullman, 2021/06/18 ABSTRACT: Differential Privacy for ML Series 2021. In many statistical problems, incorporating priors can significantly improve performance. However, the use of prior knowledge in differentially private query release has remained
From playlist Differential Privacy for ML
Fake It Till You Make It (Microsoft) | Paper Explained
❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany 👨👩👧👦 JOIN OUR DISCORD COMMUNITY: Discord ► https://discord.gg/peBrCpheKE 📢 SUBSCRIBE TO MY MONTHLY AI NEWSLETTER: Substack ► https://aiepiphany.substack.com/ In this video I cover Microsoft's "Fake it till
From playlist Computer Vision
Synthetic Intelligence - with Zdenka Kuncic
Can machines be made to think like humans? And how does synthetic intelligence differ from artificial intelligence? Subscribe for regular science videos: http://bit.ly/RiSubscRibe How does the brain think? And more importantly, can we replicate thinking with a man-made device? Zdenka Kunc
From playlist #WomenInSTEM at the Ri
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search (Paper Explained)
Neural Architecture Search is usually prohibitively expensive in both time and resources to be useful. A search strategy has to keep evaluating new models, training them to convergence in an inner loop to find out if they are any good. This paper proposes to abstract the problem and extrac
From playlist Papers Explained
Eytan Ruppin, University of Maryland - Stanford Medicine Big Data | Precision Health 2016
Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.
From playlist Big Data in Biomedicine: Enabling Precision Health Conference 2016
AIUK: Machine learning for finance
From the algorithms responsible for credit decision making to the intuitive technology protecting us from fraud – some of the earliest adoption of AI-driven processes have come from the financial and economic sector. Today, it continues to be a main driver for opportunity in the financial
From playlist AIUK 2021
Statistics (video 1) - Statistics of Datasets
Recordings of the corresponding course on Coursera. If you are interested in exercises and/or a certificate, have a look here: https://www.coursera.org/learn/pca-machine-learning
From playlist Statistics of Datasets
