2008, Data Analysis and Machine Learning

Applications of Machine Learning and AI in Banking and Finance in 2023

Analytics Vidhya

MARCH 27, 2023

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question.

Machine Learning

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence

Pandas 2.0

Analytics Vidhya

APRIL 28, 2023

Introduction If you work with programming languages and are familiar with Python, you must have had a brush with Pandas, a robust yet flexible data manipulation and analysis library. It was founded by Wes McKinney in 2008. appeared first on Analytics Vidhya.

Data Analysis

Data Analysis Data Analysis Python Analytics

Fundamentals of Python Programming for Beginners

Analytics Vidhya

JULY 17, 2024

Introduction If you’ve been in the data field for quite some time, you’ve probably noticed that some technical skills are becoming more dominant, and the data backs this up. Until the release of NumPy in 2005, Python was considered slow for numeric analysis. But Numpy changed that.

Python

Python Analytics Analytics Data Analysis

Pascal VOC

Dataconomy

APRIL 3, 2025

Pascal VOC is a cornerstone in the realm of machine learning and computer vision. Pascal VOC, or the Visual Object Classes Challenge, is a dataset that has played an integral role in advancing research within the fields of computer vision and machine learning. What is Pascal VOC?

Machine Learning

Machine Learning Machine Learning Algorithm Data Analysis

t-SNE (t-distributed stochastic neighbor embedding)

Dataconomy

APRIL 3, 2025

t-SNE (t-distributed stochastic neighbor embedding) has become an essential tool in the realm of data analytics, standing out for its ability to unravel the complexities inherent in high-dimensional data. t-SNE was developed by Laurens van der Maaten and Geoffrey Hinton in 2008 to visualize high-dimensional data.

Clustering

Clustering Exploratory Data Analysis Data Analysis Data Analysis

Data scientist

Dataconomy

MARCH 5, 2025

Data scientists play a crucial role in today’s data-driven world, where extracting meaningful insights from vast amounts of information is key to organizational success. Their work blends statistical analysis, machine learning, and domain expertise to guide strategic decisions across various industries.

Data Scientist

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning

ICML 2021 Invited Speakers — ML for Science

Machine Learning (Theory)

JULY 19, 2021

A general theme of the invited talks this year is “ machine learning for science.” The Program Chairs (Marina Meila and Tong Zhang) have invited world-renowned scientists from various disciplines to discuss their problems and the corresponding machine learning challenges.

ML

ML ML Machine Learning Machine Learning

Getting Started with AI

Towards AI

AUGUST 25, 2023

DL Artificial intelligence (AI) is the study of ways to build intelligent programs and machines that can creatively solve problems, which has always been considered a human prerogative. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system.

Machine Learning

Machine Learning Machine Learning AI AI

Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. The first Tableau customer conference was in 2008. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Computers and humans have asymmetric and synergistic data skills. Release v1.0

Tableau

Tableau ML ML Database

Structural Evolutions in Data

O'Reilly Media

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hadoop

Hadoop Algorithm ML ML

Quan Sun on finishing in second place in Predict Grant Applications

Kaggle

APRIL 20, 2020

I’m a PhD student of the Machine Learning Group in the University of Waikato, Hamilton, New Zealand. My PhD research focuses on meta-learning and the full model selection problem. In 2009 and 2010, I participated the UCSD/FICO data mining contests. I’m also a part-time software developer for 11ants analytics.

Algorithm

Algorithm Data Mining Data Mining Data Mining

My GPT-4 Prompting Methods: The Why And How For Data Visualization

Towards AI

FEBRUARY 9, 2024

The original dataset looks like this: My original CSV file showing the GPI for each country from 2008–2020 What is missing from… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. As a recent example, I was working with a UN dataset called the Global Peace Index (GPI).

Data Visualization

Data Visualization Data Preparation AI AI

Knowledge Graph QA using Gemini and NebulaGraph Lite

Towards AI

MARCH 20, 2024

Knowledge graphs extend the capabilities of graph databases by incorporating mechanisms to infer and derive new knowledge from the existing graph data. This added expressiveness allows for more advanced data analysis and extraction of insights across the interconnected data points within the graph.

Database

Database Data Analysis Data Analysis Data Modeling

Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. The first Tableau customer conference was in 2008. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Computers and humans have asymmetric and synergistic data skills. Release v1.0

Tableau

Tableau ML ML Database

Pioneer of Google’s Data Centers Dies at 58

Hacker News

NOVEMBER 21, 2023

In 2009 Barroso co-authored The Data Center as a Computer: An Introduction to the Design of Warehouse-Scale Machines , a seminal textbook. He also led the team that designed Google’s AI chips, known as tensor processing units or TPUs, which accelerated machine-learning workloads. He retired in 2008.

Computer Science

Computer Science Computer Science Machine Learning Machine Learning

How MSD uses Amazon Bedrock to translate natural language into SQL for complex healthcare databases

AWS Machine Learning Blog

NOVEMBER 18, 2024

Large language models (LLMs) can help uncover insights from structured data such as a relational database management system (RDBMS) by generating complex SQL queries from natural language questions, making data analysis accessible to users of all skill levels and empowering organizations to make data-driven decisions faster than ever before.

SQL

SQL Database AWS AI

Ask HN: What Are You Working On? (June 2025)

Hacker News

JUNE 29, 2025

A dynamic runtime on top of the eBPF virtual machine / SQL workbench that lets you create real time visualizations of system performance data. reply wtf242 18 hours ago | prev | next [–] Still working on my books site https://thegreatestbooks.org that I started in 2008. Is there something to distinguish it?

AI

AI AI Database Python

Data Science Current

Applications of Machine Learning and AI in Banking and Finance in 2023

Pandas 2.0

Trending Sources

Fundamentals of Python Programming for Beginners

Pascal VOC

t-SNE (t-distributed stochastic neighbor embedding)

Data scientist

ICML 2021 Invited Speakers — ML for Science

Getting Started with AI

Analyzing the history of Tableau innovation

Structural Evolutions in Data

Quan Sun on finishing in second place in Predict Grant Applications

My GPT-4 Prompting Methods: The Why And How For Data Visualization

Knowledge Graph QA using Gemini and NebulaGraph Lite

Analyzing the history of Tableau innovation

Pioneer of Google’s Data Centers Dies at 58

How MSD uses Amazon Bedrock to translate natural language into SQL for complex healthcare databases

Ask HN: What Are You Working On? (June 2025)

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