Applications & Use Cases Professional

AI, machine learning and data science can become a competitive advantage and so everyone is interested to see if they can be applied on their problems. Identifying good problems and mapping them to machine learning types is the key step here and since that also requires some general understanding of the frequent terms used, we cover and introduce those basics as well.

• Welcome

• Data Science Introduction and Types of Machine Learning
• From Descriptive to Predictive and Prescriptive

• Validations - What it is and why it is important

• Finding the right Model

• Perception, Visualizations & Plot Settings

• Example Solutions

• Conclusion

• Applications & Use Cases Professional