AWS Machine Learning

DECEMBER 16, 2022

Developing and training successful machine learning (ML) fraud models requires access to large amounts of high-quality data. Sourcing this data is challenging because available datasets are sometimes not large enough or sufficiently unbiased to usefully train the ML model and may require significant cost and time.

Data 71

Data Training Financial Exercises 71

AWS Machine Learning

DECEMBER 20, 2022

The last few years have seen a tremendous paradigm shift in how institutional asset managers source and integrate multiple data sources into their investment process. However, the process of extracting benefits from multiple data sources can be extremely challenging.

Analysis 94

Analysis Financial Effort Score Data 94

AWS Machine Learning

JULY 24, 2023

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. The TensorRT-based model is deployed via SageMaker for performance tests.

Innovation 66

Innovation Comparison User Experience Tools 66

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Government 120

Government Training Data Policies 120

2020 Research

AUGUST 16, 2022

The need for quantitative data answers important questions about your business, such as: Is there a market for your product or service? We’ll cover five major trends happening within the global sample industry, so you know how best to extrapolate the highest-quality data about where you and your customers stand in the marketplace.

Trends 52

Trends Strategy Marketing Policies 52

Grade.us

NOVEMBER 20, 2018

At one time, they were testing a new 10 point scale, but they've decided to scrap this in favor of something else. Mainstream review platforms use a variety of data points to accumulate data on your business. How to identify natural vs. coached vs. synthetic reviews. Google has a mountain of data about your business.

Management 23

Management Guidelines Social Media Brands 23

AWS Machine Learning

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. We explain the metrics and show techniques to deal with data to obtain better model performance. You start by training the model using existing data, and then ask the model to predict the outcome on data that it has not already seen.

Metrics 80

Metrics Analysis Training Data 80