ODSC - Open Data Science

FEBRUARY 20, 2023

He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E. His research interests bridge the computational, statistical, cognitive, biological, and social sciences.

Machine Learning 96

Machine Learning Machine Learning Data Science Python 96

Tableau

MARCH 3, 2023

Tableau Ambassadors serve in one of seven branches: Forums, User Groups, Student, DataDev, Public, Social, and CRM Analytics. Most recently, she analyzed fundraising data in Resource Development, where she finally got to mix user-centered design (including usability testing!) with data analysis.

Tableau 97

Tableau Data Analysis Data Analysis Analytics 97

Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. Adam Selipsky becoming CEO in 2016. Tableau co-founders: Three guys at Stanford with a passion for data.

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Tableau

MARCH 3, 2023

Tableau Ambassadors serve in one of seven branches: Forums, User Groups, Student, DataDev, Public, Social, and CRM Analytics. Most recently, she analyzed fundraising data in Resource Development, where she finally got to mix user-centered design (including usability testing!) with data analysis.

Tableau 87

Tableau Data Analysis Data Analysis Analytics 87

Ocean Protocol

SEPTEMBER 29, 2023

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

Mlearning.ai

APRIL 10, 2023

With the emergence of data science and AI, clustering has allowed us to view data sets that are not easily detectable by the human eye. Thus, this type of task is very important for exploratory data analysis. 1207–1221, May 2016, doi: 10.1109/JSAC.2016.2545384. 2016.2545384. BECOME a WRITER at MLearning.ai

Clustering 52

Clustering Internet of Things Algorithm Machine Learning 52

Ocean Protocol

MAY 24, 2024

Participants demonstrated outstanding abilities in utilizing ML and data analysis to probe and predict movements within the cryptocurrency market. Let’s explore the top three submissions that stood out due to their thorough analytics and insightful conclusions.

EDA 59

EDA Exploratory Data Analysis Data Scientist ML 59

Data Science Blog

FEBRUARY 23, 2023

Presumably due to this fact, Andrew Ng, in his presentation in NeurIPS 2016, gave a rough and abstract predictions of how transfer learning in machine learning would make commercial success like white lines in the figure below. “Shut up and annotate!” ” could be often the best practice in practice.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

AWS Machine Learning Blog

OCTOBER 10, 2023

Federated analytics – Federated analytics provides statistical measurements of distributed datasets without violating privacy requirements. Federated analytics is important not only for data analysis across distributed datasets before training, but also for model monitoring at inference. He received his Ph.D.

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AWS ML ML Algorithm 118

Dataconomy

JUNE 15, 2023

In 2016, Google’s AI AlphaGo defeated Lee Sedol and Fan Hui, the European and world champions in the game of Go. Instead of manually coding rules as in expert systems, the focus shifted to allowing computers to independently discover patterns and correlations through large-scale data analysis.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 103

Pickl AI

MAY 16, 2023

In fact, these industries majorly employ Data Scientists. Python, Data Mining, Analytics and ML are one of the most preferred skills for a Data Scientist. Most Preferred Skills With the right skill sets, you have a better probability of success.

Data Scientist 52

Data Scientist Data Science SQL Python 52

DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. Sitao Min is pursuing his Ph.D. at Rutgers University.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

Dataconomy

APRIL 18, 2023

AI systems use a combination of algorithms, machine learning techniques, and data analytics to simulate human intelligence. AlphaGo , the AI program that defeated the world champion at the game of Go in 2016. They have the ability to learn from historical data and use it to improve their performance over time.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 113

DrivenData Labs

FEBRUARY 3, 2025

Recently, I became interested in machine learning, so I was enrolled in the Yandex School of Data Analysis and Computer Science Center. At Verto, he leads research and development on population health analytics. Before I received my master's degree in mathematics from Novosibirsk State University in Russia.

Machine Learning 130

Machine Learning Machine Learning Data Science Natural Language Processing 130

Dataconomy

MARCH 20, 2025

Its innovative data flow architecture enables users to execute complex statistical analyses and create sophisticated models efficiently. Overview of TensorFlow TensorFlow emerged as a key tool for data scientists and statisticians, facilitating the implementation of machine learning models.

Machine Learning 91

Machine Learning Machine Learning Deep Learning Deep Learning 91

learn data science

APRIL 2, 2025

In this post, well take a quick look back at how the paradigms of data wrangling have evolved since the beginning of Exploratoryand then would like to introduce this latest shift: Data Wrangling with AIPrompt! Note: This new Prompt Interface is currently focused on data wrangling only not for chart creation or advanced analytics (yet).

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