Alation

MAY 12, 2023

To quote TrustRadius, “Top Rated awards help distinguish products in a category that have excellent customer satisfaction ratings.” But you don’t need to take our word for why we are Top Rated in four categories — our customers are spreading the word! Data Catalog It should come as no surprise that Alation wins in this category.

Data Governance 40

Data Governance Tableau Power BI Business Intelligence 40

Smart Data Collective

NOVEMBER 29, 2021

For most financial institutions, the biggest expense category is benefits and compensations—that is, labor costs. Consequently, a client might get a higher interest rate without any logical justification or their loan application might be rejected. Reduced Costs. AI is unbiased—but humans need to train it and humans are biased.

AI 110

AI AI Artificial Intelligence Artificial Intelligence 110

Smart Data Collective

MAY 10, 2022

Credit risk assessment entails estimating the probability of a prospective borrower failing to repay a loan. Many new-age startups have built big businesses selling AI-powered credit checking software to financial institutions, e.g., Upstart, which handles consumer loans. They include; Credit risk assessment. Fraud Detection.

Artificial Intelligence 109

Artificial Intelligence Artificial Intelligence AI AI 109

Precisely

MARCH 15, 2024

In the restaurant industry, for example, competitors might be defined by category (e.g. First, it can identify the mobility characteristics of the population surrounding each branch so that appropriate adjustments can be made to the financial goals set for mortgages, credit cards, or loans for example.

Analytics 64

Analytics Analytics 64

Mlearning.ai

FEBRUARY 10, 2024

The issue of zero-frequency can arise when a category in the test data has not been seen in the training data, resulting in a probability of 0. Tackling Loan Default Prediction with Machine Learning For years, the financial industry has grappled with the issue of predicting loan defaults. Let’s Get our ✋Dirty!!

Algorithm 52

Algorithm Decision Trees Cross Validation Machine Learning 52

IBM Journey to AI blog

OCTOBER 16, 2023

Filtering email ML algorithms in Google’s Gmail automate filtering customers’ email into Primary, Social and Promotions categories while also detecting and rerouting spam to a spam folder. Banks and other lenders use ML classification algorithms and predictive models to determine who they will offer loans to.

Machine Learning 49

Machine Learning Machine Learning ML ML 49

Dataconomy

APRIL 18, 2023

Machine learning techniques can be broadly classified into three categories: supervised learning, unsupervised learning, and reinforcement learning. AI algorithms can be classified into two broad categories: symbolic or rule-based algorithms and numerical or statistical algorithms.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 113

Data Science Dojo

AUGUST 22, 2023

Large language models, which are a prominent category of transformer models, have proven to be exceptionally versatile. For example, an LLM could be used to analyze a borrower’s credit history and financial statements to assess their risk of defaulting on a loan.

Natural Language Processing 195

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Mlearning.ai

MAY 3, 2023

Bias: Decision trees can be biased towards variables with more levels or categories, resulting in an uneven data split. Credit risk assessment: Decision trees can be used to assess the creditworthiness of loan applicants based on their income, credit history BECOME a WRITER at MLearning.ai

Decision Trees 52

Decision Trees Clustering Machine Learning Machine Learning 52

DataRobot Blog

FEBRUARY 14, 2022

Model explainability is typically grouped into the categories of Global Explainability and Local Explainability. For example, why it denied someone a loan. From the Feature Details plot, we see that the scoring data has a higher amount of missing data and more of the “other” category than the training data.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Hacker News

DECEMBER 4, 2023

We will make a fundamental category error. You used to need a personal relationship with a banker to get a loan. And when we do that, we are making a category error. Both language and the laws make this an easy category error to make. We are about to make the same category error with AI. And we do it all the time.

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AI AI Artificial Intelligence Artificial Intelligence 181

phData

JANUARY 2, 2024

daily, monthly) or grouping by relevant categories helps users analyze trends and make comparisons more effectively. Normalization and Aggregation Normalize financial data by standardizing units, currencies, and formats. Aggregating data to different time intervals (e.g.,

Data Analyst 52

Data Analyst Business Intelligence Business Intelligence Analytics 52

AWS Machine Learning Blog

DECEMBER 1, 2023

In this post, we demonstrate the power of building an end-to-end ML model with no code using SageMaker Canvas by showing you how to build a classification model for predicting if a customer will default on a loan. We use the cleaned dataset to create a classification model for predicting loan defaults.

Machine Learning 80

Machine Learning Machine Learning Data Preparation ML 80

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Storing responses and returning it to the user: The response from the LLM is stored in Amazon DynamoDB along with the user’s query, the timestamp, a unique identifier, and other arbitrary identifiers for the item such as question category. These data points are used to inform a decision based on the company’s internal loan policies.

AWS 89

AWS AI AI Data Silos 89

Data Science 101

OCTOBER 31, 2019

Banks use classification to predict if a client is going to default loan payment or not based on the client’s activities. For example, clustering is used to group a large set of documents into categories based on the content. Regression. It assists in finding out structures in data that can group similar data points together.

Data Mining 77

Data Mining Data Mining Data Mining Data Science 77

AWS Machine Learning Blog

MAY 10, 2023

Download the datasets Let’s download the datasets that we use to train the model and make the predictions: Training data Test data Build a model and run predictions In this section, we cover how we can build a model and run predictions on the loan dataset. Single-label image prediction and multi-category text prediction models are excluded.

ML 74

ML ML AWS Data Analysis 74

Dataconomy

MARCH 3, 2023

Some real-life examples of this include: LendingClub uses machine learning algorithms to assess credit risk and make lending decisions, resulting in a 40% improvement in loan approval rates. ZestFinance uses machine learning algorithms to assess credit risk for lenders, resulting in more accurate and fair lending decisions.

Machine Learning 70

Machine Learning Machine Learning Algorithm Supervised Learning 70

Pickl AI

MAY 10, 2023

ML algorithms fall into various categories which can be generally characterised as Regression, Clustering, and Classification. Applications Detecting unsolicited email Recognition of the face Determining whether a client is likely to leave or not Approval of Bank Loan What is Clustering?

Clustering 52

Clustering Decision Trees Machine Learning Machine Learning 52

Smart Data Collective

MAY 11, 2023

The banking sector, in particular, can use big data technology to improve the actuarial analysis of the loan underwriting and approval process. This data is useful in segmenting customer bases into useful categories, allowing banks to tailor their services to meet the unique needs of each client group.

Data Mining 98

Data Mining Data Mining Data Mining Big Data 98

AWS Machine Learning Blog

FEBRUARY 27, 2023

Fairness in Credit Risk prediction The credit lending industry relies heavily on credit scores for processing loan applications. Data can include financial and employment history of the applicant, their demographics, and the new credit/loan context. The code for this example is available on GitHub.

ML 77

ML ML AWS Machine Learning 77

Dataconomy

MARCH 7, 2023

For example, there are concerns about AI being used to make decisions that could negatively impact people’s lives, such as determining who receives healthcare, loans, or jobs. AI can be divided into two categories: task-specific AI and general AI.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence AI AI 70

Mlearning.ai

MAY 23, 2023

There are majorly two categories of sampling techniques based on the usage of statistics, they are: Probability Sampling techniques: Clustered sampling, Simple random sampling, and Stratified sampling. Data is said to be highly imbalanced if it is distributed unequally across different categories.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

AWS Machine Learning Blog

MARCH 29, 2023

Getting started with Canvas is quick; we offer sample datasets for multiple use cases, including predicting customer churn, estimating loan default probabilities, forecasting demand, and predicting supply chain delivery times.

Machine Learning 75

Machine Learning Machine Learning ML ML 75

The MLOps Blog

JUNE 5, 2023

One category to think about is if we don’t need to train models anymore for some set of things, What activities are we taking part in? If you build an incredible credit scoring model that will make you a better insurance provider, or that will make you a better loan provider, etc. What are we doing, and what tools do we need?

ML 52

ML ML Machine Learning Machine Learning 52