Remove 2009 Remove 2022 Remove Consumers Remove Metrics
article thumbnail

Retail Consumer Trends and Real-Time Feedback: Monitoring How Price Hikes Impact Market Sentiment

Lumoa

According to Deloitte’s Global State of the Consumer Tracker survey, 77% of retail consumers are concerned by the increasing prices of everyday products. Now, each retailer is tasked with determining the impact of price hikes on its own target audience and how this change compares to general retail consumer trends.

Retail 208
article thumbnail

Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?

AWS Machine Learning

His 2009 strike against Leverkusen at a speed of 125 km/h is one that is vividly remembered because the sheer velocity of Hitzlsperger’s free-kick was enough to leave Germany’s number one goalkeeper, René Adler, seemingly petrified. We analyzed around 215 matches from the Bundesliga 2022–2023 season. fast shots.

Sports 93
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Will the economic downturn spark a new and better era of SaaS?

Gainsight

And while the economic and geopolitical uncertainty doesn’t look like it’s going away anytime soon, I’m making a bold prediction about the future of SaaS: 2022 will not be a repeat of 2008. As a consumer, Peloton remains one of my favorite brands, even though the company has seen better days. The Fed’s ever-increasing interest rates.

B2B 52
article thumbnail

Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning

Although these SEC filings are publicly available to anyone, downloading parsed filings and constructing a clean dataset with added features is a time-consuming exercise. We select Amazon’s SEC filing reports for years 2021–2022 as the training data to fine-tune the GPT-J 6B model. per diluted share, compared to $5,716,000, or $0.33

article thumbnail

Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning

Although these SEC filings are publicly available to anyone, downloading parsed filings and constructing a clean dataset with added features is a time-consuming exercise. We select Amazon’s SEC filing reports for years 2021–2022 as the training data to fine-tune the GPT-J 6B model. per diluted share, compared to $5,716,000, or $0.33

article thumbnail

Amazon SageMaker built-in LightGBM now offers distributed training using Dask

AWS Machine Learning

As datasets continue to grow in size and complexity, traditional training methods can become increasingly time-consuming and resource-intensive. Because each model is trained with one fixed set of hyperparameter values, the evaluation metric numbers on the hold-out test data can be further improved with hyperparameter optimization.