2016, Data Analysis and ML - Data Science Current

Data Analysis at Warp Speed: Explore the World of Polars

Mlearning.ai

JULY 9, 2023

Empowering Data Scientists and Engineers with Lightning-Fast Data Analysis and Transformation Capabilities Photo by Hans-Jurgen Mager on Unsplash ?Goal ⏱️Performance benchmarking Let’s try it on Kaggle competition dataset based on the 2016 NYC Yellow Cab trip record data and see the numbers using different libraries.

Data Analysis

Data Analysis Data Analysis Python Data Scientist

Reinventing a cloud-native federated learning architecture on AWS

AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Customers often need to train a model with data from different regions, organizations, or AWS accounts. Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets.

AWS

AWS ML ML Algorithm

Insights from the game of Go: Discussing ML prediction

Dataconomy

FEBRUARY 22, 2023

The decisive victory comes seven years after the AI system AlphaGo, devised by Google-owned research company DeepMind, defeated the world Go champion Lee Sedol by four games to one in 2016. Sedol attributed his retirement from Go three years later to the rise of AI, saying that it was “an entity that cannot be defeated.”

ML

ML ML Machine Learning Machine Learning

Webinars

How to Achieve High-Accuracy Results When Using LLMs

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Michael I. Jordan of Berkeley on Learning-Aware Mechanism Design

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

Machine Learning Machine Learning Data Science Python

Bundesliga Match Fact Keeper Efficiency: Comparing keepers’ performances objectively using machine learning on AWS

AWS Machine Learning Blog

MARCH 30, 2023

While being the well-deserved Switzerland’s #1 since 2016, time will tell whether he pushes Manuel Neuer off the throne in Munich. Therefore, it’s no surprise that determining the proficiency of goalkeepers in preventing the ball from entering the net is considered one of the most difficult tasks in football data analysis.

Machine Learning

Machine Learning Machine Learning AWS ML

Unveiling Market Dynamics: Winners of the Google Trends Analysis and Predictive Modeling

Ocean Protocol

MAY 24, 2024

Podium Introduction Participants in the “Google Trends” Data Challenge analyzed the influence of public search interest on cryptocurrency market prices. The challenge required a detailed analysis of Google Trends data, integration of additional data sources, and the application of advanced ML methods to predict market behaviors.

EDA

EDA Exploratory Data Analysis Data Scientist ML

Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

SEPTEMBER 29, 2023

This data challenge took NFL player performance data and fantasy points from the last 6 seasons to calculate forecasted points to be scored in the 2024 NFL season that began Sept. AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics.

Cross Validation

Cross Validation Predictive Analytics Exploratory Data Analysis EDA

The effectiveness of clustering in IIoT

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

Clustering Internet of Things Algorithm Machine Learning

How to optimize your LinkedIn as a Data Scientist?

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

Data Scientist Data Science SQL Python

Multivariate Time Series Forecasting

Mlearning.ai

JULY 2, 2023

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

Exploratory Data Analysis

Exploratory Data Analysis Data Analysis Data Analysis Data Visualization

AI 101: A beginner’s guide to the basics of artificial intelligence

Dataconomy

APRIL 18, 2023

Undetectable backdoors can be implemented in any ML algorithm Machine learning Machine learning is a subfield of artificial intelligence that focuses on the development of algorithms and models that can learn from data and make predictions or decisions.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning

Meet the Final Winners of the U.S. PETs Prize Challenge

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

Machine Learning Machine Learning Data Science Algorithm

Amazon Textract’s new Layout feature introduces efficiencies in general purpose and generative AI document processing tasks

AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Layout is a new feature that allows customers to automatically extract layout elements such as paragraphs, titles, subtitles, headers, footers, and more from documents.

AI

AI AI Database AWS

Text Classification in NLP using Cross Validation and BERT

Mlearning.ai

FEBRUARY 15, 2023

The accuracy of the ML model indicates how many times it was correct overall. While the amount of data available was limited, we have tried to solve the problem of generalization by using methods such as stopwords removal, tokenization, lemmatization, dropout and early stopping. Manning C. and Schutze H., Cambridge: MIT Press.

Cross Validation

Cross Validation Decision Trees Algorithm Natural Language Processing

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Prompt 2: Were there any major world events in 2016 affecting the sale of Vegetables?

AWS

AWS AI AI SQL

Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

Adam Selipsky becoming CEO in 2016. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Chris and Christian stepped out of operational roles when Adam Selipsky became CEO in 2016. VizQL: A domain-specific language for visual, self-service analysis. Visual encoding is key to explaining ML models to humans.

Tableau

Tableau ML ML Database

Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

Adam Selipsky becoming CEO in 2016. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Chris and Christian stepped out of operational roles when Adam Selipsky became CEO in 2016. VizQL: A domain-specific language for visual, self-service analysis. Visual encoding is key to explaining ML models to humans.

Tableau

Tableau ML ML Database

Data Science Current

Data Analysis at Warp Speed: Explore the World of Polars

Reinventing a cloud-native federated learning architecture on AWS

Webinars

Trending Sources

Insights from the game of Go: Discussing ML prediction

Webinars

Michael I. Jordan of Berkeley on Learning-Aware Mechanism Design

Bundesliga Match Fact Keeper Efficiency: Comparing keepers’ performances objectively using machine learning on AWS

Unveiling Market Dynamics: Winners of the Google Trends Analysis and Predictive Modeling

Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

The effectiveness of clustering in IIoT

How to optimize your LinkedIn as a Data Scientist?

Multivariate Time Series Forecasting

AI 101: A beginner’s guide to the basics of artificial intelligence

Meet the Final Winners of the U.S. PETs Prize Challenge

Amazon Textract’s new Layout feature introduces efficiencies in general purpose and generative AI document processing tasks

Text Classification in NLP using Cross Validation and BERT

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

Analyzing the history of Tableau innovation

Analyzing the history of Tableau innovation

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