N Raghava Rao (90 results)

Condition: New.

Condition: New. In English.

Taschenbuch. Condition: Neu. Data Warehousing and Data Mining Laboratory | DWDM LAB | Raghava Rao N | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206162230 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Diabetes Prediction using Machine Learning | Raghava Rao N | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207640188 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Condition: New.

Taschenbuch. Condition: Neu. DATA STRUCTURES | N. Raghava Rao | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206782155 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Gebunden. Condition: New. K. Himabindu is alumni of NIT- Warangal, JNTU- Hyderabad, and University of Hyderabad. She has a decade of experience in Data Mining and Machine Learning. She is currently working as a Professor in Vishnu Institute of Technology, Bhimavaram and working o.

Condition: New. In English.

Condition: New. In English.

Condition: New. In English.

Condition: New.

Taschenbuch. Condition: Neu. Laboratoire d'entreposage de données et d'exploration de données | Laboratoire DWDM | Raghava Rao N. | Taschenbuch | Französisch | 2023 | Editions Notre Savoir | EAN 9786206648406 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Prédiction du diabète à l'aide de l'apprentissage automatique | Raghava Rao N. | Taschenbuch | Französisch | 2024 | Editions Notre Savoir | EAN 9786207702138 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Condition: New.

Taschenbuch. Condition: Neu. Laboratorio di Data Warehousing e Data Mining | Laboratorio DWDM | Raghava Rao N. | Taschenbuch | Italienisch | 2023 | Edizioni Sapienza | EAN 9786206648437 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Laboratório de Armazenamento de Dados e Extração de Dados | Laboratório DWDM | Raghava Rao N. | Taschenbuch | Portugiesisch | 2023 | Edições Nosso Conhecimento | EAN 9786206648369 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Previsione del diabete con l'apprendimento automatico | Raghava Rao N. | Taschenbuch | Einband - flex.(Paperback) | Italienisch | 2024 | Edizioni Sapienza | EAN 9786207702145 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Previsão da diabetes utilizando a aprendizagem automática | Raghava Rao N. | Taschenbuch | Einband - flex.(Paperback) | Portugiesisch | 2024 | Edições Nosso Conhecimento | EAN 9786207702084 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Diabetes-Vorhersage durch maschinelles Lernen | Raghava Rao N. | Taschenbuch | 76 S. | Deutsch | 2024 | Verlag Unser Wissen | EAN 9786207702114 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Labor für Data Warehousing und Data Mining | DWDM-Labor | Raghava Rao N. | Taschenbuch | 76 S. | Deutsch | 2023 | Verlag Unser Wissen | EAN 9786206648383 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Deutsch | Produktart: Bücher | Die Analyse großer Datenmengen ist eine Notwendigkeit. Sogar populärwissenschaftliche Bücher wie ¿Super Cruncher¿ liefern überzeugende Beispiele, in denen große Datenmengen zu Entdeckungen und Intuitionen führen, die selbst Experten überraschen. Jedes Unternehmen profitiert von der Sammlung und Analyse seiner Daten: Krankenhäuser können Trends und Anomalien in ihren Patientenakten erkennen, Suchmaschinen können bessere Rankings und Anzeigenplatzierungen erzielen und Umwelt- und Gesundheitsbehörden können Muster und Anomalien in ihren Daten erkennen. Die Liste geht weiter mit Cybersicherheit und Erkennung von Computernetzwerkeinbrüchen; Überwachung des Energieverbrauchs von Haushaltsgeräten; Musteranalyse in Bioinformatik und pharmazeutischen Daten; Finanz- und Business-Intelligence-Daten; Erkennen von Trends in Blogs, Twitter und vielem mehr. Speicher ist kostengünstig und wird immer billiger, ebenso wie Datensensoren. Somit ist das Sammeln und Speichern von Daten einfacher als je zuvor.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Print on Demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Analyzing large amounts of data is a necessity. Even popular science books, like 'super crunchers,' give compelling cases where large amounts of data yield discoveries and intuitions that surprise even experts. Every enterprise benefits from collecting and analyzing its data: Hospitals can spot trends and anomalies in their patient records, search engines can do better ranking and ad placement, and environmental and public health agencies can spot patterns and abnormalities in their data. The list continues, with cybersecurity and computer network intrusion detection; monitoring of the energy consumption of household appliances; pattern analysis in bioinformatics and pharmaceutical data; financial and business intelligence data; spotting trends in blogs, Twitter, and many more. Storage is inexpensive and getting even less so, as are data sensors. Thus,collecting and storing data is easier than ever before. 68 pp. Englisch.…

Condition: New. PRINT ON DEMAND.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Diabetes is a chronic disease with the potential to cause a worldwide healthcare crisis. According to International Diabetes Federation 382 million people are living with diabetes across the whole world. By 2035, this will be doubled to 592 million. To facilitate early detection, we are developing a website that employs a machine learning approach. This project responds by developing a machine learning-based website for early detection. Employing a Support Vector Machine Algorithm, it integrates new data with existing datasets, forming a robust predictive framework. Following diabetes prediction, the website offers users personalized diet plans, addressing individual health needs.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Analyzing large amounts of data is a necessity. Even popular science books, like 'super crunchers,' give compelling cases where large amounts of data yield discoveries and intuitions that surprise even experts. Every enterprise benefits from collecting and analyzing its data: Hospitals can spot trends and anomalies in their patient records, search engines can do better ranking and ad placement, and environmental and public health agencies can spot patterns and abnormalities in their data. The list continues, with cybersecurity and computer network intrusion detection; monitoring of the energy consumption of household appliances; pattern analysis in bioinformatics and pharmaceutical data; financial and business intelligence data; spotting trends in blogs, Twitter, and many more. Storage is inexpensive and getting even less so, as are data sensors. Thus,collecting and storing data is easier than ever before.…