Oct
18
2:00pm
Your Path to AI: Fraud Prediction using AutoAI
By IBM Developer
Your Path to AI is a series of workshops to get you started on your path to become proficient in AI. Each session consists of important topics in the Data & AI methodology so that you can learn its concepts and what tools IBM provide along with open-source to make Your Path to AI easier.
Wouldn't it be convenient and stress free to watch your ML pipeline workloads be completely automated? With all this growth in the fields of data science and AI, what if I tell you IBM's offering, AutoAI can easily perform automated data preparation, apply ML algorithms and build model pipelines best suited for your datasets. In this session, which is Part 4 of Your Path to AI series, We will talk about how easily Machine Learning models can be using AutoAI and can be easily integrated with IBM CloudPak for Data. Followed by a use case of Fraud Prediction using AutoAI.
๐ Session outcomes
- Learn about Machine Learning
- Supervised Learning
- Build predictive models with AutoAi
๐ Agenda
- Machine Learning Models
- IBM SPSS Modeler
- Overview of AutoAi - build ML models without code
- Fraud Prediction using AutoAi
- Deployment of ML models
- Q&A
๐ฉโ๐ป Who should attend
- Students who are interested in AI, Data Science but dont know where to start
- Data Science & AI enthusiasts who want to learn what IBM is doing
- Professional Developers who want to know more about the world of Data & AI
- Who want to learn about and build predictive models without code and use IBM SPSS and AutoAI for free.
๐ช How to attend
- Register on crowdcast: https://www.crowdcast.io/e/path-to-ai4
- Open the crowdcast event link on your browser and enjoy!
- Sign up for IBM Cloud account: http://ibm.biz/pathto-ai
๐๏ธ Speaker
- Anam Mahmood: https://www.linkedin.com/in/anam-mahmood-sheikh/
- Sidra Ahmed: https://www.linkedin.com/in/sidra-fatima/
_____________________________________________________________________________
By registering for this event, you acknowledge this video will be recorded and consent for it to be featured on IBM media platforms and pages.
hosted by

IBM Developer
share