Dataconomy

MAY 3, 2016

Regulations have been strict since 2008, and many US banks have been hit with huge. FinTech is disrupting the banking world—and bringing consumers along for the ride. Of course, such a major shift in policies and the way companies do business is bound to have equally powerful effects on legislature.

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Data Science 124

Towards AI

NOVEMBER 11, 2023

When Apple introduced its App Store on July 10, 2008, it sparked a transformation in how people interact with technology, affecting everything from work to leisure activities [1]. This moment was a turning point in the way software was consumed and distributed, leading to profound cultural, social, and economic changes.

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AI AI Data Science Machine Learning 116

Towards AI

AUGUST 25, 2023

MIT Overview of AI and ML Source: Toward Data Science Project Definition The first step in AI projects is to define the problem. LeGro, “ Interpreting Confusing Multiple Linear Regression Results,” Towards Data Science, Sep. 2008 (2nd edition). Kilic, “ Data Science Terminology — AI / ML / DL,” Medium, Dec.

Machine Learning 98

Machine Learning Machine Learning AI AI 98

NYU Center for Data Science

SEPTEMBER 11, 2024

I’m excited to be part of CDS because it provides a unique environment where cutting-edge data science methods can be developed and applied to push the boundaries of science,” said Ho. “I I look forward to collaborating with fellow researchers and students to explore new frontiers in foundation models for science.”

Deep Learning 75

Deep Learning Deep Learning Computer Science Computer Science 75

Data Science 101

AUGUST 31, 2023

That’s right, I was building ugly animated sites with Flash & PHP for small clients since around 2008. Can you explain how that happened and what preparation you did? Hi @ryan.swanstrom , thanks for having me! I’d became interested in animation as a kid. Used to build silly animations on PowerPoint for fun.

AI 111

AI AI 111

AWS Machine Learning Blog

JANUARY 13, 2023

Divya Bhargavi is a Data Scientist and Media and Entertainment Vertical Lead at the Amazon ML Solutions Lab, where she solves high-value business problems for AWS customers using Machine Learning. in Electrical Engineering and Computer Sciences from UC Berkeley in 2008. He is also the co-founder and CEO of FedML.

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AWS Analytics Analytics Machine Learning 106

AWS Machine Learning Blog

SEPTEMBER 23, 2024

This dataset contains 10 years (1999–2008) of clinical care data at 130 US hospitals and integrated delivery networks. To start our ML project predicting the probability of readmission for diabetes patients, you need to download the Diabetes 130-US hospitals dataset.

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ML ML AWS Data Scientist 95

Mlearning.ai

JUNE 7, 2023

We have the IPL data from 2008 to 2017. Working Video of our App [link] Conclusion End-to-end machine learning projects are a vital component of the data science journey. The duration varies depending on the complexity of the project, the size of the dataset, and the experience of the data science team.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

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.

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Mlearning.ai

APRIL 25, 2023

Further Analysis From the first plot, we can see the frequency of content added by Netflix from 2008 to 2021. From the second plot, we can see the top 20 genres that have been added by Netflix from 2008 to 2021. plt.figure(figsize=(12,6)) df[df["type"]=="TV Show"]["release_year"].value_counts()[:20].plot(kind="bar",color="Blue")

Data Analysis 52

Data Analysis Data Analysis Python Exploratory Data Analysis 52

Data Science 101

OCTOBER 22, 2023

but they were using campus suites — a no-code, what seemed like early 2008, meant for academic… institutions only, web builder. absolutely, it started about three years ago as a request for web development, supposed to be a simple contract over the summer. all under the ask of a new “website”. it had ZERO security.

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AWS Machine Learning Blog

APRIL 18, 2023

On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended September 30, 2008. Dr. Sanjiv Das is an Amazon Scholar and the Terry Professor of Finance and Data Science at Santa Clara University.

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ML ML Deep Learning Deep Learning 97

AWS Machine Learning Blog

FEBRUARY 10, 2023

Visualizing data using t-SNE.” Thompson Bliss is a Manager, Football Operations, Data Scientist at the National Football League. He started at the NFL in February 2020 as a Data Scientist and was promoted to his current role in December 2021. ” Advances in neural information processing systems 32 (2019).

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ML ML Machine Learning Machine Learning 100

Pickl AI

MARCH 7, 2025

There are several Data Science facts that are still not known to all, and this makes it more interesting. Before we dig deeper into this topic and understand some of the key data facts, it is important to know that the technology is a broader spectrum, there are several other technologies that fall under its umbrella.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Pickl AI

SEPTEMBER 20, 2024

Apache Cassandra is an open-source distributed NoSQL database management system designed to handle large amounts of structured, semi-structured, and unstructured data across many commodity servers. It was initially developed at Facebook to address the challenges of managing massive data volumes for their inbox search feature.

Database 52

Database Clustering Data Modeling Data Models 52

AWS Machine Learning Blog

APRIL 18, 2023

On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended September 30, 2008. Dr. Sanjiv Das is an Amazon Scholar and the Terry Professor of Finance and Data Science at Santa Clara University.

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ML ML Deep Learning Deep Learning 52

Mlearning.ai

JUNE 6, 2023

We have the IPL data from 2008 to 2017. Immortal Snake game in Python using OpenCV I have done plenty of projects to date in almost every domain of Data Science, from ML, DL, and Computer Vision to NLP, but this immortal snake game in Python is still one of my favorite projects because of its simplicity and user interaction.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

Smart Data Collective

OCTOBER 23, 2021

Satoshi Nakamoto introduced the world to bitcoin in 2008. Richmond Alake, an author with Towards Data Science, talked about some of the benefits of applying machine learning in cryptocurrency mining. Many people speculated that the virtual currency would never gain traction and become extinct.

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Machine Learning Machine Learning Algorithm Data Science 143

AWS Machine Learning Blog

SEPTEMBER 30, 2024

Today's economic landscape is completely different from the 2008 financial crisis when the consumer was extraordinarily overleveraged, as was the financial system as a whole — from banks and investment banks to shadow banks, hedge funds, private equity, Fannie Mae and many other entities.

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AWS Python AI AI 99

Dataconomy

MARCH 5, 2025

As the demand for data expertise continues to grow, understanding the multifaceted role of a data scientist becomes increasingly relevant. What is a data scientist? A data scientist integrates data science techniques with analytical rigor to derive insights that drive action.

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Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

Dataconomy

APRIL 18, 2025

They are fundamental tools in the realm of scientific programming, allowing users to manage large quantities of data and perform intricate analyses with relative ease. Pandas Overview: Introduced in 2008 by Wes McKinney, Pandas is designed for efficient data manipulation.

Python 91

Python Data Scientist Data Analysis Data Analysis 91

AWS Machine Learning Blog

NOVEMBER 18, 2024

For example, instead of writing complex SQL queries, an analyst could simply ask, “How many female patients have been admitted to a hospital in 2008?” This dataset is commonly used for research and development purposes, because it provides a realistic representation of healthcare data without compromising patient privacy.

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SQL Database AWS AI 103