Course Outline
Introduction
- Defining Predictive AI.
- Historical context and the evolution of predictive analytics.
- Basic principles of machine learning and data mining.
Data Collection and Preprocessing
- Gathering relevant data.
- Cleaning and preparing data for analysis.
- Understanding data types and sources.
Exploratory Data Analysis (EDA)
- Visualizing data to gain insights.
- Descriptive statistics and data summarization.
- Identifying patterns and relationships within the data.
Statistical Modeling
- Fundamentals of statistical inference.
- Regression analysis.
- Classification models.
Machine Learning Algorithms for Prediction
- Overview of supervised learning algorithms.
- Decision trees and random forests.
- Basics of neural networks and deep learning.
Model Evaluation and Selection
- Understanding model accuracy and performance metrics.
- Cross-validation techniques.
- Overfitting and model tuning.
Practical Applications of Predictive AI
- Case studies across various industries.
- Ethical considerations in predictive modeling.
- Limitations and challenges of Predictive AI.
Hands-On Project
- Working with a dataset to create a predictive model.
- Applying the model to generate predictions.
- Evaluating and interpreting the results.
Summary and Next Steps
Requirements
- A foundational understanding of basic statistics.
- Experience working with at least one programming language.
- Familiarity with data handling and spreadsheet tools.
- No previous experience in AI or data science is required.
Target Audience
- IT professionals.
- Data analysts.
- Technical staff members.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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
