O'Reilly Media

SEPTEMBER 19, 2023

” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” And it (wisely) stuck to implementations of industry-standard algorithms.

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Flipboard

DECEMBER 13, 2024

Generative AI , AI, and machine learning (ML) are playing a vital role for capital markets firms to speed up revenue generation, deliver new products, mitigate risk, and innovate on behalf of their customers. About SageMaker JumpStart Amazon SageMaker JumpStart is an ML hub that can help you accelerate your ML journey.

Analytics 129

Analytics Analytics AI AI 129

AWS Machine Learning Blog

JUNE 13, 2023

Sales & Marketing Amazon RedShift What was the total commission for the ticket sales in the year 2008? SELECT SUM(commission) AS total_commission FROM tickit.sales WHERE EXTRACT(YEAR FROM saletime) = 2008 The total commission for ticket sales in the year 2008 was $16,614,814.65.

Database 84

Database SQL AWS AI 84

Towards AI

FEBRUARY 27, 2024

Looking ahead, it has served the ML community a lot while building different Natural Language Understanding tools and models as a high-quality curated corpus of information. Fast forward to 2008, and we see the Github launch, providing developers with a platform to collaborate on their projects online.

Machine Learning 111

Machine Learning Machine Learning Deep Learning Deep Learning 111

AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). ML is often associated with PBAs, so we start this post with an illustrative figure. The ML paradigm is learning followed by inference. The union of advances in hardware and ML has led us to the current day.

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AWS ML ML Clustering 93

DataRobot Blog

APRIL 29, 2022

Prior to the financial crisis of 2008, Model Risk Management within the financial services industry was driven by industry best practices rather than regulatory standards(which brings to mind the saying “a fox guarding the hen house”). The Framework for ML Governance. More on this topic. Download now.

Machine Learning 111

Machine Learning Machine Learning Big Data Big Data 111

AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. In this post, we deep dive into the technical details of this ML model.

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ML ML Machine Learning Machine Learning 76

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. He currently supports Federal Partners.

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AWS Python AI AI 92

AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

ML 76

ML ML Deep Learning Deep Learning 76

AWS Machine Learning Blog

APRIL 3, 2023

JumpStart is the machine learning (ML) hub of Amazon SageMaker that offers a one-click access to over 350 built-in algorithms; pre-trained models from TensorFlow, PyTorch, Hugging Face, and MXNet; and pre-built solution templates. This page lists available end-to-end ML solutions, pre-trained models, and example notebooks.

Natural Language Processing 90

Natural Language Processing Machine Learning Machine Learning Algorithm 90

Mlearning.ai

JUNE 7, 2023

Although it is not an ML Project, it is a very interesting project with lots of functionalities. We have the IPL data from 2008 to 2017. Doctor-Patient Appointment System in Python using Flask Hey guys, in this blog we will see a Doctor-Patient Appointment System for Hospitals built in Python using Flask.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

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

O'Reilly Media

JULY 25, 2023

And if I switch tabs to view a paper from 2008, then a song from 2008 could start up. To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022.

AI 98

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AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

ML 52

ML ML Deep Learning Deep Learning 52

Mlearning.ai

FEBRUARY 16, 2023

To control the risk in a worst-case scenario, such as financial crisis of 2007–2008, FinRL employs the VIX index and turbulence index. Adding risk-control index Risk-aversion reflects whether an investor prefers to protect the capital. It also influences one’s trading strategy when facing different market volatility level.

AI 52

AI AI ML ML 52

Alation

AUGUST 5, 2021

Artificial Intelligence (AI) and Machine Learning (ML) As more companies implement Artificial Intelligence and Machine Learning applications to their business intelligence strategies, data users may find it increasingly difficult to keep up with new surges of Big Data.

Data Quality 52

Data Quality Data Governance Artificial Intelligence Artificial Intelligence 52

Mlearning.ai

JUNE 6, 2023

We have the IPL data from 2008 to 2017. It can also be thought of as the ‘Hello World of ML world. IPL Score Prediction with Flask app In this project, I built an IPL Score Prediction model using Ridge Regression which is just an upgraded form of Linear Regression. We will also be building a beautiful-looking interactive Flask model.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

Mlearning.ai

MAY 23, 2023

We have the IPL data from 2008 to 2017. IPL Score Prediction with Flask app In this project, I built an IPL Score Prediction model using Ridge Regression which is just an upgraded form of Linear Regression. We will also be building a beautiful-looking interactive Flask model. Working Video of our App [link] 12.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

Mlearning.ai

MAY 21, 2023

We have the IPL data from 2008 to 2017. IPL Score Prediction with Flask app In this project, I built an IPL Score Prediction model using Ridge Regression which is just an upgraded form of Linear Regression. We will also be building a beautiful-looking interactive Flask model. Working Video of our App [link] 12.

Machine Learning 52

Machine Learning Machine Learning Python K-nearest Neighbors 52

Mlearning.ai

MAY 15, 2023

This was developed in 2008 by Wes McKinney and was developed for data analysis. Pandas is an open-source, python-based library used in data manipulation applications requiring high performance. The name is derived from “Panel Data” having multidimensional data.

Python 52

Python ML ML Data Analysis 52

O'Reilly Media

NOVEMBER 29, 2022

The financial collapse of 2008 led to tighter regulation of banks and financial institutions. An outcomes-based strategy would look at the impact of an AI or ML solution on specific categories and subgroups of stakeholders. Even when catastrophes don’t kill large numbers of people, they often change how we think and behave.

Artificial Intelligence 125

Artificial Intelligence Artificial Intelligence AI AI 125

ML Review

MARCH 5, 2019

AI Distillery (Part 2): Distilling by Embedding was originally published in ML Review on Medium, where people are continuing the conversation by highlighting and responding to this story. Information Processing & Management, 24(5), 513–523. Maaten, L. D., & Hinton, G. Visualizing data using t-SNE.

AI 40

AI AI Clustering Machine Learning 40

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. August 2008) because Tableau needed to gather sufficient map data to support customers around the world. Release v1.0 IPO in 2013. March 2021).

Tableau 145

Tableau ML ML Database 145

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. August 2008) because Tableau needed to gather sufficient map data to support customers around the world. Release v1.0 IPO in 2013. March 2021).

Tableau 98

Tableau ML ML Database 98

Hacker News

FEBRUARY 9, 2025

Surprisingly, humans are better than ML at spotting these errors. A prescient 2008 report from the Future of Humanities Institute remarked how, even in light of being an as-yet “theoretical technology” rife with open engineering, neuroscience, regulatory, ethical, and social questions, brain emulation was worth roadmapping.

Algorithm 135

Algorithm Artificial Intelligence Artificial Intelligence AI 135

Pickl AI

MARCH 7, 2025

The Power of Machine Learning and AI in Data Science Machine Learning (ML) and AI are integral components of Data Science that enable systems to learn from data without explicit programming. Example: Netflix uses ML to recommend shows based on viewing history. Example: Netflix uses ML to recommend shows based on viewing history.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

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?” Due to file size limitations, each data type in the CMS Linkable 2008–2010 Medicare DE-SynPUF database is released in 20 separate samples. For simplicity, we use only data from Sample 1.

SQL 97

SQL Database AWS AI 97

Hacker News

NOVEMBER 10, 2024

US * Catching Up on a FOSTA Case–ML v. Craigslist * Sex Trafficking Lawsuit Against Craigslist Moves Forward–ML v. Craigslist * Facebook Still Can’t Dismiss Sex Trafficking Victims’ Lawsuit in Texas State Court * Craigslist Denied Section 230 Immunity for Classified Ads from 2008–ML v.

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ML ML 131