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Causal AI
Jezik
Engleski
Engleski
Knjiga
Meki uvez
How do you know what might have happened, had you done things differently? Causal machine learning...
Cijeli opis
Libristo kod: 46056807
?
162 b
162 b
66.71
€
Vanjske zalihe
Šaljemo za 3-5 dana
Do 30 dana za povrat
Kupci su kupili i
How do you know what might have happened, had you done things differently? Causal machine learning gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions.
In Causal AI you will learn how to:
Causal AI is a practical introduction to building AI models that can reason about causality. Author Robert Ness, a leading researcher in causal AI at Microsoft Research, brings his unique expertise to this cutting-edge guide. His clear, code-first approach explains essential details of causal machine learning that are hidden in academic papers. Everything you learn can be easily and effectively applied to industry challenges, from building explainable causal models to predicting counterfactual outcomes.
In Causal AI you will learn how to:
- Build causal reinforcement learning algorithms
- Implement causal inference with modern probabilistic machine tools such as PyTorch and Pyro
- Compare and contrast statistical and econometric methods for causal inference
- Set up algorithms for attribution, credit assignment, and explanation
- Convert domain expertise into explainable causal models
Causal AI is a practical introduction to building AI models that can reason about causality. Author Robert Ness, a leading researcher in causal AI at Microsoft Research, brings his unique expertise to this cutting-edge guide. His clear, code-first approach explains essential details of causal machine learning that are hidden in academic papers. Everything you learn can be easily and effectively applied to industry challenges, from building explainable causal models to predicting counterfactual outcomes.
About the technology:
Causal machine learning is a major milestone in machine learning, allowing AI models to make accurate predictions based on causes rather than just correlations. Causal techniques help you make models that are more robust, explainable, and fair, and have a wide range of applications, from improving recommendation engines to perfecting self-driving cars.
Glumica
&
Poliglotkinja
EWA KASP
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Informacije o knjizi
Puni naziv
Causal AI
Autor
Ness, Robert Osazuwa
Jezik
Engleski
Engleski
Uvez
Knjiga - Meki uvez
Datum izdanja
2024
Broj stranica
453
EAN
9781633439917
ISBN
1633439917
Libristo kod
46056807
Nakladnici
Manning Publications
Težina
540
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