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Duration 21 hours
Course Outline
Foundations
- Defining the scope of Predictive AI
- The historical development and evolution of predictive analytics
- Core principles underlying machine learning and data mining
Data Acquisition and Preparation
- Methods for gathering relevant datasets
- Techniques for cleaning and structuring data for analysis
- Identifying different data types and their sources
Exploratory Data Analysis (EDA)
- Using data visualization to generate insights
- Applying descriptive statistics for data summarization
- Detecting underlying patterns and correlations within data
Statistical Modeling Techniques
- Introduction to statistical inference
- Conducting regression analysis
- Building classification models
Machine Learning for Predictions
- Survey of supervised learning algorithms
- Implementation of decision trees and random forests
- Fundamentals of neural networks and deep learning
Model Assessment and Selection
- Interpreting model accuracy and key performance metrics
- Utilizing cross-validation methods
- Managing overfitting and optimizing model parameters
Real-World Predictive AI Applications
- Industry-specific case studies and analyses
- Addressing ethical considerations in predictive modeling
- Recognizing the limitations and challenges of Predictive AI
Practical Exercise
- Developing a predictive model using a provided dataset
- Deploying the model to generate forecasts
- Analyzing and interpreting the final outcomes
Requirements
- Fundamental knowledge of basic statistics
- Proficiency in at least one programming language
- Competence in data management and spreadsheet software
- No previous background in AI or data science is necessary
Target Audience
- IT specialists
- Data analysts
- Technical personnel
Testimonials (3)
basics and loved the prepared documents and exercises
Rekha Nallam - GE Medical Systems Polska Sp. z o.o.
Course - Introduction to Predictive AI
Opportunity to use a pre-created models, understand how do they work and tweak them live and see the results. Choice ov VSCode with Jupyter was a perfect option for such way of leading the training.
Krzysztof - GE Medical Systems Polska Sp. z o.o.
Course - Introduction to Predictive AI
Difficult topics presented in simple, user-friendly way
