This toolkit for ML and AI researchers covers essential libraries, frameworks, and tools across various domains, including NLP, computer vision, and reinforcement learning. Emphasizing the importance of experiment tracking with platforms like MLflow and Weights & Biases, it highlights ethical considerations through tools like AIF360 and Fairlearn to ensure fairness in models. The chapter concludes with a call for continuous learning and adaptation in a rapidly evolving field, stressing the need for ethical responsibility. Together, researchers can navigate the AI frontier, creating impactful, transparent, and equitable innovations for society.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Print on Demand. Codice articolo I-9798340141743
Quantità: Più di 20 disponibili
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This toolkit for ML and AI researchers covers essential libraries, frameworks, and tools across various domains, including NLP, computer vision, and reinforcement learning. Emphasizing the importance of experiment tracking with platforms like MLflow and Weights & Biases, it highlights ethical considerations through tools like AIF360 and Fairlearn to ensure fairness in models. The chapter concludes with a call for continuous learning and adaptation in a rapidly evolving field, stressing the need for ethical responsibility. Together, researchers can navigate the AI frontier, creating impactful, transparent, and equitable innovations for society. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798340141743
Quantità: 1 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. This toolkit for ML and AI researchers covers essential libraries, frameworks, and tools across various domains, including NLP, computer vision, and reinforcement learning. Emphasizing the importance of experiment tracking with platforms like MLflow and Weights & Biases, it highlights ethical considerations through tools like AIF360 and Fairlearn to ensure fairness in models. The chapter concludes with a call for continuous learning and adaptation in a rapidly evolving field, stressing the need for ethical responsibility. Together, researchers can navigate the AI frontier, creating impactful, transparent, and equitable innovations for society. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798340141743
Quantità: 1 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Neuware - This toolkit for ML and AI researchers covers essential libraries, frameworks, and tools across various domains, including NLP, computer vision, and reinforcement learning. Emphasizing the importance of experiment tracking with platforms like MLflow and Weights & Biases, it highlights ethical considerations through tools like AIF360 and Fairlearn to ensure fairness in models. The chapter concludes with a call for continuous learning and adaptation in a rapidly evolving field, stressing the need for ethical responsibility. Together, researchers can navigate the AI frontier, creating impactful, transparent, and equitable innovations for society. Codice articolo 9798340141743
Quantità: 2 disponibili