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Zbirna točka GLS 4.49 €
Zbirna točka DPD 2.99 €
Kurirska služba GLS 5.49 €
Kurir DPD 3.49 €
Kurirska služba Express One 3.49 €
Zbirno mesto Express One 3.49 €
Zbirno mesto Pošte Slovenije 3.49 €
Dostava preko Pošte Slovenije 3.49 €
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Brezplačna dostava za naročila nad 69.99 € na paketomatih Pošte Slovenije.
Causal AI
Jezik
Angleščina
Angleščina
Knjiga
Mehka
How do you know what might have happened, had you done things differently? Causal machine learning...
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Koda Libristo: 46056807
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153 b
153 b
62.96
€
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Do 30 dni za vračilo
Drugi so kupili tudi
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.
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O knjigi
Polni naslov
Causal AI
Avtor
Ness, Robert Osazuwa
Jezik
Angleščina
Angleščina
Vezava
Knjiga - Mehka
Datum izida
2024
Število strani
453
EAN
9781633439917
ISBN
1633439917
Koda Libristo
46056807
Založba
Manning Publications
Teža
540
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1 Dodajte knjigo v košarico in izberite dostavo kot darilo 2 V zameno vam bomo poslali kupon 3 Knjiga bo dostavljena na naslov obdarovancaMorda bi vas zanimalo tudi
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Mehka
50.54
€
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