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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Published by O'Reilly Media (edition 2), 2020
ISBN 10: 149207294X ISBN 13: 9781492072942
Language: English
£ 15.41
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Add to basketPaperback. Condition: Very Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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£ 36.08
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Industrial Statistics : A Computer-Based Approach with Python
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 45.61
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Modern Statistics : A Computer-Based Approach with Python
Published by Springer International Publishing, 2022
ISBN 10: 303107565X ISBN 13: 9783031075650
Language: English
£ 51.64
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 464 | Sprache: Englisch | Produktart: Bücher.
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£ 26.49
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Add to basketCondition: New. Idioma/Language: Español. Los métodos estadísticos son una parte fundamental de la ciencia de datos, pero pocos científicos de datos tienen una formación avanzada en estadística. Los cursos y libros sobre estadística básica rara vez tratan el tema desde la perspectiva de la ciencia de datos. La segunda edición de este libro incluye ejemplos detallados de Python, ofrece una orientación práctica sobre la aplicación de los métodos estadísticos a la ciencia de datos, te indica cómo evitar su uso incorrecto y te aconseja sobre lo que es y lo que no es importante. Muchos recursos de la ciencia de datos incorporan métodos estadísticos, pero carecen de una perspectiva estadística más profunda. Si estás familiarizado con los lenguajes de programación R o Python y tienes algún conocimiento de estadística, este libro suple esas carencias de una forma práctica, accesible y clara. Con este libro aprenderás:Por qué el análisis exploratorio de datos es un paso preliminar clave en la ciencia de datosCómo el muestreo aleatorio puede reducir el sesgo y ofrecer un conjunto de datos de mayor calidad, incluso con Big DataCómo los principios del diseño experimental ofrecen respuestas definitivas a preguntasCómo utilizar la regresión para estimar resultados y detectar anomalíasTécnicas de clasificación esenciales para predecir a qué categorías pertenece un registroMétodos estadísticos de aprendizaje automático que «aprenden» a partir de los datosMétodos de aprendizaje no supervisados para extraer significado de datos sin etiquetarPeter Bruce es el fundador del Institute for Statistics Education en Statistics. com. Andrew Bruce es científico investigador jefe en Amazon y tiene más de 30 años de experiencia en estadística y ciencia de datos. Peter Gedeck es científico de datos senior en Collaborative Drug Discovery, desarrolla algoritmos de aprendizaje automático para pronosticar propiedades de posibles futuros fármacos. 10 *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
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£ 62.53
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Paperback. Condition: Brand New. German language. 9.37x6.54x0.98 inches. In Stock.
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£ 76.32
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£ 60.01
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Add to basketHardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.6.
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Industrial Statistics : A Computer-based Approach With Python
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Machine Learning for Business Analytics : Concepts, Techniques and Applications in Python
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£ 82.18
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Add to basketHardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 2.15.
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Published by O'Reilly Media
£ 31.68
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Add to basketpaperback. Condition: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.
