Home AI Courses Fraud Detection on Financial Transactions with ML on Google Cloud

Fraud Detection on Financial Transactions with ML on Google Cloud

(0 reviews)

Learn to load data, create features, and build and evaluate both supervised and unsupervised models in BigQuery for fraud and anomaly detection.

Key AI Functions:Bigquery,Machine Learning,Feature Engineering

Description

Reviews

Alternative Tools

Description for Fraud Detection on Financial Transactions with ML on Google Cloud

Features of Course

Load data into BigQuery and investigate and develop new features within the platform.

Build an unsupervised model for the purpose of detecting anomalies.

Develop supervised models for the purpose of detecting fraud, utilizing logistic regression and boosted trees.

Evaluate and compare the models, select the champion, and employ the selected model to forecast the probability of fraud on a test dataset.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Google Cloud Training

Duration: 1.5 hours

Schedule: Flexible

Reviews for Fraud Detection on Financial Transactions with ML on Google Cloud

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Google Cloud Big Data and Machine Learning Fundamentals

Gen AI for Legal Services Primer

Alternative Tools for Fraud Detection on Financial Transactions with ML on Google Cloud

The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

#research #marketing

Gen AI for Data Scientists

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science

Intro to Gen AI

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming

ML on Google Cloud

Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

#Tensorflow #Machine Learning

Gen AI in Marketing Specialization

Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

#Generative AI #Large Language Models

Intro to Gen AI - Art of the Possible

Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

#Generative AI #Amazon Web Services

Intro to Retrieval Augmented Generation (RAG)

Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

#Python Programming #Machine Learning

Intro to Vertex AI

The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.

#Critical Thinking #MLOps (Machine Learning Operations)

AI and ML Essentials with Python Specialization

Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.

#Artificial Intelligence #Python (Programming Language)

Machine Learning with Python

Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.

#Machine Learning #regression