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Machine Learning für Zeitreihen

- Konzepte Schritt für Schritt erklärt- Die Eigenarten von Zeitreihendaten verstehen: Zeitfenster zum Anlernen einsetzen; mit latenten, saisonalen und Trend-Komponenten arbeiten- Anleitungen zur Umsetzung in Python mit ausführlichen Code-Kommentaren- Mit TensorFlow2 Deep-Learning-Verfahren zur Prognose aufbauen, anlernen und produktiv einsetzen Daten über Vorgänge werden in der verarbeitenden Industrie, der Logistik oder im Finanzsektor im Sekundentakt aufgezeichnet: der Verlauf eines Aktienkurses, die Verkaufszahlen eines Produkts, die Sensordaten einer Turbine. Solche Daten informieren nicht nur über isolierte Zustände; sie sind wie Filme, die den Verlauf eines Vorgangs mit einer Serie einzelner Bilder nachzeichnen. Intelligente Algorithmen können die Muster dieser Verläufe analysieren, sie anlernen und über das Beobachtungsfenster hinaus fortschreiben: Zustände in der Zukunft werden prognostizierbar.Das Buch bietet eine leicht verständliche Einführung in die Konzepte und die Praxis der Zeitreihenanalyse. Es zeigt, wie bewährte und neuere Lernalgorithmen arbeiten und wie sie sich mit Python anlernen und produktiv einsetzen lassen. An einer Vielzahl von Anwendungsbeispielen werden die Vorbereitung der Daten, der Anlern- und Schätzprozess Schritt für Schritt erklärt.Aus dem Inhalt:- Zeitreihendaten mit pandas aufbereiten, fehlende Daten imputieren, mit Datumsangaben arbeiten- Grundprinzipien maschinellen Lernens: Konzepte und Umsetzung mit Python und Scikit-Learn- Feature-Preprocessing: Standardisierung, Dimensionsreduktion, Verarbeitung kategorialer Daten - ARIMA-Modelle zur Analyse univariater Zeitreihen: Vorbereitung, Anlernen und Prognose mit Python und Statsmodels- Komplexe Zeitreihen mit Deep-Learning-Verfahren analysieren: Rekurrente und konvolutionale Netze verstehen und mit Python und TensorFlow 2 aufbauen und anlernen- Mit Zeifenstern arbeiten Vorkenntnisse in Machine-Learning-Verfahren sind nicht notwendig. Grundlegende Statistik- und Python-Kenntnisse sollten vorhanden sein.Der komplette Code im Buch sowie die Beispieldateien sind über ein GitHub-Repository verfügbar.EXTRA: E-Book inside.

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Price: 41.20 EUR excl. shipping

The Alien Fast-Food War: Visions of Jupiter, Book 1 , Hörbuch, Digital, ungekürzt, 42min

When remote-controlled aircraft begin behaving erratically, even crashing, there is only one logical explanation - well, there are only two: aliens or your own government. The real shock is finding the signals are coming from people who've eaten at fast food restaurants. Of course, we've known all along the stuff is unhealthy. But this?Excerpt: The aliens started small, buying up a few eateries in malls and some coffee shops. And then they expanded, just as the Asians had before them - but neither education nor commerce was the goal this time. They wanted knowledge, but not the kind that came from schools. “We knew your history, but didn’t know shit about what makes you humans tick,” was what Bernie said. It didn't take long for them to recognize that we had no idea what made us tick either, so they set out to blaze new trails in understanding people-kind. Fast food places provided them with two significant tools for this task: First, humans went there in droves. "You can't beat them away with a stick," was how Bernie put it. Once they were there, they could be observed in their natural habitat, as it were. This nicely brought the subjects needed for the aliens’ field studies right to them. Secondly, we ingested, rather indiscriminately a variety of substances passing for food. The aliens developed their protein-based nanosensors and fed them to us. Who knew? The damn things moved into our bloodstreams, analyzing as they went. “We wanted to get to the heart of the matter,” was the way Doreen put it; I think she was unaware of the implied pun, so we forgave her. Hungry for data, they continued buying up fast food places, served nanosensors, and observed us. We ate the food and the sensors, which transmitted back to data collectors that did some elementary preprocessing and relayed compressed data to, as I’ve said, Omaha. Now, I doubt anyone would have objected to this somewhat symbiotic turn of even ungekürzt. Language: English. Narrator: Mike Carnes. Audio sample: https://samples.audible.de/bk/acx0/170235/bk_acx0_170235_sample.mp3. Digital audiobook in aax.

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Price: 9.95 EUR excl. shipping

Mastering C++ Programming Language (eBook, ePUB)

C++ was created as a superset of C, retaining C's efficiency and notational ease but adding type checking, data abstraction, operator overloading, and object-oriented programming capabilities. C++ is still a popular programming language because of its versatility. Unlike most other programming languages, C++ has been able to adapt as its demands have changed, allowing it to remain relevant, contemporary, and essential. C++, unlike other languages, is flexible and has evolved quickly to meet the demands of programmers and software. It is now one of the most excellent options for rapid applications, with alternatives such as Rust or Perl severely missing ecosystem support for many use cases. More important, C++ is a programming language with varied uses. Knowing how to write code in C++ can help you understand how software and hardware interact. This is valuable information to have regardless of which path you take in technology. If you want to work in technology, C++ is an excellent language to learn. In this book, you will discover a brief introduction to C++, memory management, C++ functions, preprocessing and compilation, coroutines, and lazy generators. Mastering C++ Programming Language: A Beginner's Guide sets the standard for C++ learning while solving the problems given in a typical C++ scenario. This book explores the design, portability, and efficiency of C++ applications in the real world. Mastering C++ Programming Language offers an outstanding supply of tested, usable, and documented C++ code by providing complete, functional solutions to each problem and paying close attention to efficiency and portability. As a beginner's guide, Mastering C++ Programming Language contains several examples and substantial code to aid all programmers who wish to expand their C++ language skills. As a result, Mastering C++ Programming Language offers at-length reading for students and professionals interested in the most recent advances in C++. It includes models that are particularly useful for individuals studying the language on their own. Plus, it also discusses the recent updates to the C++ language by comparing different versions and the various standards that are currently in use. Mastering C++ Programming Language is an ideal beginner's companion for learning the fantastic programming language that is C++. If you are looking to quickly and efficiently learn C++ coding, this is the ultimate book for you! Learn more about our other Mastering titles at: https://www.routledge.com/Mastering-Computer-Science/book-series/MCS

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Price: 19.95 EUR excl. shipping

Mastering C++ Programming Language (eBook, PDF)

C++ was created as a superset of C, retaining C's efficiency and notational ease but adding type checking, data abstraction, operator overloading, and object-oriented programming capabilities. C++ is still a popular programming language because of its versatility. Unlike most other programming languages, C++ has been able to adapt as its demands have changed, allowing it to remain relevant, contemporary, and essential. C++, unlike other languages, is flexible and has evolved quickly to meet the demands of programmers and software. It is now one of the most excellent options for rapid applications, with alternatives such as Rust or Perl severely missing ecosystem support for many use cases. More important, C++ is a programming language with varied uses. Knowing how to write code in C++ can help you understand how software and hardware interact. This is valuable information to have regardless of which path you take in technology. If you want to work in technology, C++ is an excellent language to learn. In this book, you will discover a brief introduction to C++, memory management, C++ functions, preprocessing and compilation, coroutines, and lazy generators. Mastering C++ Programming Language: A Beginner's Guide sets the standard for C++ learning while solving the problems given in a typical C++ scenario. This book explores the design, portability, and efficiency of C++ applications in the real world. Mastering C++ Programming Language offers an outstanding supply of tested, usable, and documented C++ code by providing complete, functional solutions to each problem and paying close attention to efficiency and portability. As a beginner's guide, Mastering C++ Programming Language contains several examples and substantial code to aid all programmers who wish to expand their C++ language skills. As a result, Mastering C++ Programming Language offers at-length reading for students and professionals interested in the most recent advances in C++. It includes models that are particularly useful for individuals studying the language on their own. Plus, it also discusses the recent updates to the C++ language by comparing different versions and the various standards that are currently in use. Mastering C++ Programming Language is an ideal beginner's companion for learning the fantastic programming language that is C++. If you are looking to quickly and efficiently learn C++ coding, this is the ultimate book for you! Learn more about our other Mastering titles at: https://www.routledge.com/Mastering-Computer-Science/book-series/MCS

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Price: 19.95 EUR excl. shipping

Python Data Analysis - Third Edition

Understand data analysis pipelines using machine learning algorithms and techniques with this practical guide Key Features:Prepare and clean your data to use it for exploratory analysis, data manipulation, and data wrangling Discover supervised, unsupervised, probabilistic, and Bayesian machine learning methods Get to grips with graph processing and sentiment analysis Book Description: Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data. With this book, you'll get up and running using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines. Starting with the essential statistical and data analysis fundamentals using Python, you'll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using easy-to-follow examples. You'll then understand how to conduct time series analysis and signal processing using ARMA models. As you advance, you'll get to grips with smart processing and data analytics using machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering. In the concluding chapters, you'll work on real-world examples to analyze textual and image data using natural language processing (NLP) and image analytics techniques, respectively. Finally, the book will demonstrate parallel computing using Dask. By the end of this data analysis book, you'll be equipped with the skills you need to prepare data for analysis and create meaningful data visualizations for forecasting values from data. What You Will Learn:Explore data science and its various process models Perform data manipulation using NumPy and pandas for aggregating, cleaning, and handling missing values Create interactive visualizations using Matplotlib, Seaborn, and Bokeh Retrieve, process, and store data in a wide range of formats Understand data preprocessing and feature engineering using pandas and scikit-learn Perform time series analysis and signal processing using sunspot cycle data Analyze textual data and image data to perform advanced analysis Get up to speed with parallel computing using Dask Who this book is for: This book is for data analysts, business analysts, statisticians, and data scientists looking to learn how to use Python for data analysis. Students and academic faculties will also find this book useful for learning and teaching Python data analysis using a hands-on approach. A basic understanding of math and working knowledge of the Python programming language will help you get started with this book.

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Price: 41.99 EUR excl. shipping