Description for Fraud Detection on Financial Transactions with ML on Google Cloud
Features of Course
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
Pricing for Fraud Detection on Financial Transactions with ML on Google Cloud
Use Cases for Fraud Detection on Financial Transactions with ML on Google Cloud
FAQs for Fraud Detection on Financial Transactions with ML on Google Cloud
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
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.
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.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
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.
Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.
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.
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.
Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.
Featured Tools
Learn how to apply prompt engineering methods in generative AI to create input-output pairs, address real-world problems, and implement suitable techniques for everyday applications.
This course teaches aspiring data scientists to train and compare classification models using supervised machine learning techniques, focusing on practical applications and best practices.
Explore LLM potential, address limitations, devise business strategies, and stay updated on LLM trends for effective implementation in business operations.
Develop a machine learning model using PySpark to forecast customer attrition and acquire practical experience in AI-driven business solutions.
Become proficient in the use of algorithmic programming techniques. Enhance your Software Engineering or Data Science career by acquiring an understanding of algorithms through programming and puzzle solving.