SIGKDD, representing the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining, hosts an influential annual conference. (Wikipedia).
Data Exploration & Visualization | Introduction to Data Mining part 20
In this Data Mining Fundamentals tutorial, we introduce you to data exploration and visualization and what they are to data mining. Data exploration is visualization and calculation to better understand characteristics of data. We will tell you the key motivations of data exploration as we
From playlist Introduction to Data Mining
The Secret Data Scientists Don't Want You to Know
In this video I tell you the main secret that data scientists are keeping from you. I hope that revealing this will make data science seem less intimidating and will help you on your learning journey. Remember to subscribe! https://www.youtube.com/c/kenjee1?sub_confirmation=1 Fro my exp
From playlist Data Science Beginners
Introduction to Data Science - Video Lecture 01
This module introduces the topic of Data Science and the tools that we use to do our analysis. At the end of the module there is a short example project.
From playlist Data Science @ Stellenbosch University
Intro to Data Science: What is Data Science?
This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e. building models with data). These will be some of the topics discussed in this lecture series.
From playlist Intro to Data Science
SketchySVD - Joel Tropp, California Institute of Technology
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Intro to Data Science: Historical Context
This lecture provides some historical context for data science and data-intensive scientific inquiry. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
Data Science Full Course for Beginner | Data Science Tutorial
In this complete data science course you will learn each and everything you need to know in order to be a data scientist. This #datascience course is beginner friendly. You will know about what data science is and how to do data science and what is required to do data science practically.
From playlist Data Science
🔥Data Analyst 2022 | Data Analytics Full Course | Data Analytics Tutorial For Beginners |Simplilearn
🔥 Enroll for FREE Data Analytics Course & Get your Completion Certificate: https://www.simplilearn.com/learn-data-analytics-for-beginners-skillup?utm_campaign=Skillup-DataAnalyticsFCReupload10Oct22&utm_medium=DescriptionFirstFold&utm_source=youtube Data analytics has been rapidly growing
From playlist Simplilearn Live
France Córdova, NSF - Stanford Big Data 2015
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 Conference 2015
DDPS | Computational Scientific Discovery: Heuristic Search for Communicable Laws and Models
Description: Scientific discovery was long viewed as a uniquely human creative activity, but digital computers have now reproduced many facets of this process. In this talk, I examine previous research on this problem, which posits that discovery involves heuristic search through a space o
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Find a Data Science Project With These 3 Techniques
In this video I will highlight the 3 techniques that I use to discover projects to work on. Many people I talk to struggle to come up with data science projects. To me, identifying problems and digging into them is one of the most important parts of becoming a data scientist to begin wit
From playlist Data Science Projects
Conflict zones and areas of hostility and instability are inherently dangerous and pose significant threat to life, which means conducting scientific research in these places can be challenging, if not impossible. Unfortunately, this means that there are large parts of the Earth that remai
From playlist Latest talks and lectures
D2I - Metadata and Preservation in Geosciences: Issues at Scale with Beth Plale
A recent brown bag presentation with computer scientist Dr. Beth Plale, Director of PTI's Data to Insight Center. Plale explores issues of discovery, process, and preservation in relation to large scale data collections. This talk was sponsored by the Data to Insight Center and the Digita
From playlist Data to Insight Center (D2I)
Data Analytics and Machine Learning for Energy Geoscience and Engineering
Every energy company is interested in growing internal capabilities to add value with data analytics and machine learning. Energy has a long history of working with large, complicated geoscience and engineering datasets and there is a growing toolbox of old and new emerging data-driven met
From playlist Random Talks
Lec 9 | MIT 7.014 Introductory Biology, Spring 2005
Molecular Biology I (Prof. Graham Walker) View the complete course: http://ocw.mit.edu/7-014S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 7.014 Introductory Biology, Spring 2005
Deep dictionary learning approaches for image super-resolution - Pier Luigi Dragotti, Imperial
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning