Qu'est-ce que Intelligence artificielle et apprentissage machine?
The theory and practice of computer systems that perform tasks that typically require human intelligence, including visual perception, speech recognition, and decision-making. This includes exposure and practical experience in developing and using algorithms to independently learn from and make predictions or decisions based on data.
Compétences et pratiques
1. Definition
| What is AI, ML, neural networks, etc.
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2. Ethics
| GC ethical considerations, bias, transparency, etc.
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3. Use Cases
| Business need, predictive analysis, cognitive automation, etc.
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4. Processes & Tools
| Data collection, cleaning, visualizations, etc.
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5. Data Management
| Data warehousing, consolidation, storage, etc.
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6. Data Analysis
| Natural language processing, programming languages, Excel, etc.
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