Application machine learning data (25 Ergebnisse)

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Buch. Zustand: Neu. Neuware - Discover why you will be able to understand Python programming language in less than 6 hours if you can read an English sentenceIf you see a code called 'print', what do you think is going to happen a. This line will be copiedb. This line will be printedc. This line will be deletedIf you have the level of a primary school kid, you¿ll most likely answer 'b)' and you are right.Python is known as the easiest programming language in the world.Even if it is so easy that kids can learn the basics, you are able to develop big and complex projects.Google Search and YouTube are just some examples of big products powered by Python.Statistics revealed that 6 out of 10 parents preferred their children to learn Python instead of French.There is a high demand for people to know programming language.Instead of being a language designed for computer nerds, you can use Python in everyday life to design cool automations and build applications like Dropbox and Instagram.Imagine all your ideas can easily be turned into a real product without investing thousands of dollars into web designers or engineers.Just think about all the entrepreneurs and young start ups with big visions, but no programming skills. Even if you don¿t have a creative idea yourself, you can easily turn your Python knowledge into $100 notes.In 'The Best Python Step-By-Step Beginners Guide', you¿ll discover:-Why Python is not as scary as its animal relative and much easier to handle-How Python is the official language of the world's biggest companies-How to control your own R2-D2 Star Wars robot-How to become a visionary and change the world by turning your ideas in applications that allow you to get worldwide exposure-How watching 'Game of Thrones' on Netflix or looking up the Backstreet Boys on Spotify are connected to python-Why robots are more likely to chess mate you than the world chess champion Magnus Carlsen-How Python prevents you from ever making mistakes in your programming again-How to solve problems in less timeAnd much, much moreEven if you have never used any programming language before, you¿ll be able to understand and apply Python and turn the virtual world upside down.Discover all the crazy opportunities you have once you know how to talk the most essential programming language in the world.Scroll up, click 'add to cart' and enjoy clear programming on both small and big scales.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New. In English.

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 112 pages. 9.25x6.10x0.27 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as material, production line, and quality assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework.…

Taschenbuch. Zustand: Neu. Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction | Yannick Lingelbach | Taschenbuch | Englisch | 2024 | Karlsruher Institut für Technologie | EAN 9783731513520 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Paperback. Zustand: Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boosting, Logistic Regression, Random Forest and Support Vector Classifier to trade with several cryptocurrencies. A new method for resampling financial data is presented as alternative to the classical time sampled data commonly used in financial market trading. The new resampling method uses a closing value threshold to resample the data creating a signal better suited for financial trading, thus achieving higher returns without increased risk. The performance of the algorithm with the new resampling method and the classical time sampled data are compared and the advantages of using the system developed in this work are highlighted.…

Taschenbuch. Zustand: Neu. Financial Data Resampling for Machine Learning Based Trading | Application to Cryptocurrency Markets | Tomé Almeida Borges (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xv | Englisch | 2021 | Springer | EAN 9783030683788 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Hardcover. Zustand: Brand New. 228 pages. 9.01x6.01x9.34 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Studienarbeit aus dem Jahr 2018 im Fachbereich BWL - Unternehmensführung, Management, Organisation, Note: 1,3, Universität Regensburg, Sprache: Deutsch, Abstract: Im Rahmen dieser Arbeit zum Thema Big Data Analytics werden verschiedene Anwendungsbereiche des Machine Learnings aufgezeigt. Beginnend mit einer kurzen Darlegung der wesentlichen Konzepte von Big Data und des MachineLearnings werden anschließend Applikationen dessen in den Bereichen Handelsstrategien,Kreditscoring sowie Betrugserkennung vorgestellt. Außerdem erfolgt eine Anwendung der logistischen Regression sowie eines Entscheidungsbaums um ein binäres Model zur Klassifikation betrügerischer Daten zu konstruieren. Es konnte festgestellt werden, dass bei großen Datenmengen Machine Learning Methoden zur Analyse derer essentiell sind und großen Nutzen hinsichtlich der Erkennung von Mustern in den Daten stiften.…