Predictive Analytics: AI model training: the SP parameter in Finance
$ 1Included lessons: 1
About live lesson
AI modeling is creating, training, and deploying machine learning algorithms that emulate logical decision-making based on available data. AI models provide a foundation to support advanced intelligence methodologies such as real-time analytics, predictive analytics, and augmented analytics.
In this meeting, an expert explains the advantages of using the SP parameter, included in Intuitive AI predictive analytics in the field of finance. In addition, he addresses its use in real-case scenarios available in the bundle Intuitive Code One. Hence, the aim is to educate and train you on using easy-to-use, efficient models and proven principles to help you succeed instead of relying on emotions and inefficient models.
What you'll learn
You will learn how to use the SP parameter with applications in finance
- What's the SP parameter
- The autonomous algorithm and the SP parameter
- Intuitive AI SP parameter vs. competitors
- How to use the SP parameter
- Real-case scenarios on NASDAQ and NYSE listed companies
- SP correlation in Risk Analysis
- Where is it available: Intuitive Code One vs. ClickUp AI Vision