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Machine Learning for Managers

The course is intended for all people who want to understand the principles of machine learning and artificial intelligence without diving into technical details.
Level
Designed for participants without knowledge and experience
basic
Course length
1 day
Language
 cz
Course code
PU21110292
Artificial intelligence (AI)
Category:
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Course description

The goal is to introduce possibilities of machine learning applications in industry and information technologies. Another goal is to prepare tech leads and C-level managers to make competent decisions while implementing exponential technologies.

Required knowledge

none

Course content

  • What is machine learning and artificial intelligence
    • Difference between artificial intelligence and machine learning
    • High-level basics of machine learning
    • Most important machine learning tasks
    • What cannot be solved by machine learning
  • Data driven company
    • Importance of data
    • Intuition vs. data
    • Exponential advantage
    • Bridge between managers and developers
  • Machine learning metrics and interpretability
    • Training vs. test data sets
    • Accuracy, precision, recall, RMSE, MAE, R-Square 
    • Data outliers
    • Data imbalance
    • Confidence of ML models
    • Explainability of machine learning decisions
  • A/B testing and understanding its results
    • Traditional A/B testing
    • Multi-armed bandits for optimization
    • Simultaneous A/B testing of multiple features
    • Confidence intervals
  • Ethics, safety and security
  • Machine learning practical use cases
    • Text (classification, sentiment analysis, summarization, reasoning, chat bots)
    • Images and video (classification, segmentation, superresolution, denoising)
    • Recommendation systems and sorting
    • Time series predictions (machine trading, e-commerce)
    • Anomaly detection

Lecturers

Jiří Materna
Jiří Materna

He is a machine learning specialist with experience in its applications in industry since 2007. Between 2008 and 2017, he worked at Seznam.cz, of which the last 7 years as head of the research department. He now works as a freelancer, offers the development of custom machine learning solutions, organizes the Machine Learning Prague conference and writes the ML Guru blog. 

Do you want this tailor-made course for your company?

Contact us

News with the course

Náhledový obrázek novinky
Artificial intelligence (AI) 15. 11. 2024
The Practical Application of AI: HubSpot Increased Lead Conversion Rate

HubSpot is an American software development company. It has 8,000 employees and branches in several countries around the world. Processes related to lead generation and qualification were time-consuming and not always efficient, reducing sales productivity.

Náhledový obrázek novinky
Artificial intelligence (AI) 17. 10. 2024

AI in Practice: DHL Has Accelerated the Delivery of Parcels

DHL is one of the largest logistics companies in the world. It provides transportation and delivery of parcels in  many countries. However, route planning, warehouse management and demand forecasting were difficult and often inefficient.

Náhledový obrázek novinky
Artificial intelligence (AI) 12. 9. 2024
The Practical Application of AI: Microsoft Increases Financial Prediction Accuracy by 20%

Microsoft, a global tech giant, faced challenges with its complex financial processes, which involved extensive financial planning and analysis (FP&A). Traditional methods were time-consuming and sometimes inaccurate, leading to delayed decisions and potential financial risks.

Do you want this tailor-made course for your company?

Contact us

News with the course

Náhledový obrázek novinky
Artificial intelligence (AI) 15. 11. 2024
The Practical Application of AI: HubSpot Increased Lead Conversion Rate

HubSpot is an American software development company. It has 8,000 employees and branches in several countries around the world. Processes related to lead generation and qualification were time-consuming and not always efficient, reducing sales productivity.

Náhledový obrázek novinky
Artificial intelligence (AI) 17. 10. 2024

AI in Practice: DHL Has Accelerated the Delivery of Parcels

DHL is one of the largest logistics companies in the world. It provides transportation and delivery of parcels in  many countries. However, route planning, warehouse management and demand forecasting were difficult and often inefficient.

Náhledový obrázek novinky
Artificial intelligence (AI) 12. 9. 2024
The Practical Application of AI: Microsoft Increases Financial Prediction Accuracy by 20%

Microsoft, a global tech giant, faced challenges with its complex financial processes, which involved extensive financial planning and analysis (FP&A). Traditional methods were time-consuming and sometimes inaccurate, leading to delayed decisions and potential financial risks.

Why with us