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  Python for Data Analytics: A Beginners Guide for Learning Python Data Analytics from A-Z , Hörbuch, Digital, ungekürzt, 376min

  Learn data analysis using Python with this easy to follow beginners guide. It covers all aspects of processing, manipulation, crunching, and cleaning data using the Python programming language. It has been designed to prepare you for: Analyzing dataCreating relevant data visualizationsCarrying out statistical analyses for large dataEstimating the upcoming future trends by using current dataAnd lots more!This book will help you learn the various parts of Python programming language, its libraries, and scientific computation using Python. Learn to practically solve extensive sets of problems related to data analysis.Python is on par with other programming languages like MATLAB, Stata, R, SAS, and others when it comes to data analysis and data visualization. Python’s rich set of libraries (mainly Pandas) has grown rapidly in recent years and is considered one of the best among its competitors for tasks related to data manipulation. When combined with Python’s own internal solidity, as a general-purpose programming language, we can say that it is an excellent choice to build data-centric web applications.You will learn how to use the essential Python libraries required for data analysis like NumPy, Pandas, matplotlib, IPython, and SciPy. Each one of them performs a particular functionality for data analysis and you will be surprised at how easy it is.So what are you waiting for? Now is your chance to learn hands-on Python with ease. Click the buy now button to get started on your Python journey. ungekürzt. Language: English. Narrator: Jim Rising. Audio sample: https://samples.audible.de/bk/acx0/166481/bk_acx0_166481_sample.mp3. Digital audiobook in aax.

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  Machine Learning: The Ultimate Guide to Understanding Machine Learning, Deep Learning and Neural Networks; What You Need to Know About Data Analytics and Big Data , Hörbuch, Digital, ungekürzt, 302min

  Machine Learning is now an essential component of many industrial uses and studies, but this field isn't exclusive to large businesses with extensive research crews.In case you are using Python, whilst a newcomer, this audiobook will educate you on practical methods to assemble your Machine Learning solutions. Considering all the current info available now, Machine Learning software is limited only by your imagination.You will study the steps required to generate a prosperous machine-learning application with Python and the sci-kit-learn library. Author Michael Brenner gives attention to the technical facets of utilizing machine learning algorithms, in place of the mathematics in it.  Understanding of the NumPy and also matplotlib libraries can allow you to get more out of that publication.In this publication, you'll discover:Fundamental theories and applications of Machine LearningBenefits and shortcomings of broadly used Machine Learning algorithmsThe best way to signify data processed by system learning, such as which information components to focus onAdvanced approaches for design analysis and parameter tuningThe Idea of pipelines for chaining versions and encapsulating your work flowTechniques for dealing with text information, such as text-specific processing methodsEmploying a set of recent discoveries, profound learning has fostered the whole area of Machine Learning. Now, even developers who know near nothing about it tech may use efficient, simple tools to execute programs with the capacity of learning from data. This practical AUDIObook shows you how. ungekürzt. Language: English. Narrator: Charles Walter. Audio sample: https://samples.audible.de/bk/acx0/201057/bk_acx0_201057_sample.mp3. Digital audiobook in aax.

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  Python für Ingenieure und Naturwissenschaftler

  Ideal für Einsteiger und UmsteigerSie möchten Python als erste Programmiersprache erlernen oder die grundlegenden mathematisch-naturwissenschaftlichen Python-Bibliotheken kennen lernen? Dieses Buch bietet einen Einstieg in die Programmierung und die mathematischen Anwendungen von Python. Es eignet sich besonders für Studierende im Nebenfach Informatik, z.B. Ingenieure oder Naturwissenschaftler, und setzt keine Vorkenntnisse voraus. Auch Personen mit Programmiererfahrung finden in diesem Buch einen Einstieg in die wichtigsten mathematisch-naturwissenschaftlichen Python-Bibliotheken. Schwerpunkte des Buches sind die mathematischen Anwendungen sowie die Arbeit mit Numpy, Matplotlib, Sympy, Scipy, Scikit-Image und VPython. Mit zahlreichen Aufgaben und ausführlich kommentierten Lösungen.Die vierte Auflage des Buches wurde inhaltlich wie auch optisch komplett überarbeitet. Ein neues Kapitel erklärt, wie man mithilfe der Programmbibliothek Scikit-Image Grafiken und Fotographien bearbeiten kann. Folgende Themen werden dabei im Detail erklärt:- Grafiken und Bilder einlesen, darstellen und ausgeben- Farbbilder in Graustufenbilder wandeln und Bilder skalieren- Graustufenbilder durch Programmanweisungen erzeugen- Ecken ermitteln - Corner Detection- Kanten detektieren - Canny Filter- Kreise erkennen - Hough Transformation- Abgleich von Vorlagen - Template MatchingAuf plus.hanser-fachbuch.de finden Sie zu diesem Titel digitales Zusatzmaterial Form von Beispielen sowie ausführlichen Lösungen zu den Aufgaben.

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  • Price: 30.90 EUR excl. shipping
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  Python Data Analysis: Comprehensive Guide to Data Science, Analytics and Metrics with Python , Hörbuch, Digital, ungekürzt, 117min

  The term "data science" has gained a lot of popularity recently. The subject is of immense importance to people handling online projects. Data science not only improves business handling skills and easy ways of gaining popularity, but it also improves your skill set in programming. If you want to be a part of data science, then you will require nothing more than some knowledge in mathematics and computing segments like programming languages. Python is a high-level language in the world of computing and programming, which works with data science.We have covered everything you need to know regarding data science, analytics, and metrics with Python. You will find the various aspects of data science covered in this book with the detailed steps on a data science project. You’ll learn the Pandas library, data frames, and series along with practical real-life examples to help you understand data science in a better and easier manner.Topics like data munging, distribution analysis, variable analysis, Anaconda setup, importing dataset, and developing models will help give you insights about python programming. We also included how to use Matplotlib in Python for data metrics. Demos are provided so that you can understand metrics in Python in a practical manner. Special attention has been given to counters, gauges, and histograms for calculating the metrics in Python.Finally, we also have a chapter on building a predictive model in Python, with detailed steps including logistic regression, decision tree, data prediction, and data analysis.So, what are you waiting for? Click the "buy now" button and get the audiobook. ungekürzt. Language: English. Narrator: Ray Myers. Audio sample: https://samples.audible.de/bk/acx0/227792/bk_acx0_227792_sample.mp3. Digital audiobook in aax.

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  Python Machine Learning: Introduction To Machine Learning With Python , Hörbuch, Digital, ungekürzt, 166min

  Python Machine Learning Machine learning is the science of getting machines and computers to act and learn on their own without being programmed explicitly. In just the past decade, this field has given us practical speech recognition, self-driving cars, a greatly improved understanding of the overall human genome, effective web search and much more. Therefore, there is no wondering why machine learning is so pervasive today.  In this audiobook, you will learn more about interpreting machine learning techniques using Python. You will also gain practice as you implement the most popular machine learning techniques on some real-world examples, and you will learn both about the theoretical and practical machine learning implementation using Python's machine learning libraries.  At the end of the audiobook, you will be able to cope with more complex machine learning issues, solving your own problems using Python and its libraries specifically crafted for machine learning.  Here is a preview of hat you'll learn from this audiobook:Basics behind machine learning techniquesDifferent machine learning algorithms Fundamental machine learning applications and their importanceGetting started with machine learning in Python, installing and starting SciPy Loading data and importing different libraries Data summarization and data visualizationEvaluation of machine learning models and making predictionsMost commonly used machine learning algorithms, linear and logistic regression, decision trees support vector machines, k-nearest neighbors, random forestsSolving multi-clasisfication problems Data visualization with Matplotlib and data transformation with Pandas and Scikit-learn Solving multi-label classification problems And much, much morePLEASE NOTE: When you purchase this title, the accompanying PDF will be av ungekürzt. Language: English. Narrator: Jon Wilkins. Audio sample: https://samples.audible.de/bk/acx0/112664/bk_acx0_112664_sample.mp3. Digital audiobook in aax.

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  Learn Python Programming: This Book Will Teach You About the Language, Data Analysis, and Algorithms and Will Level up Your Skills in Computer Programming to Become an Expert Pythonista , Hörbuch, Digital, ungekürzt, 269min

  PythonThe truth is: Python, an advanced third-generation programming language come scripting language, has shown an extraordinary growth in terms of popularity and usage in the last five years.But why Python? Why IT industries are choosing python over anything else? Why one must learn Python keeping in mind the current market situation? Obviously, there are several reasons behind it. Let’s explore....Whether you are already a programmer or a newcomer to the programming world, Python offers you to code with the ultimate simple syntaxes and lets you focus on programming logic. A huge relief from the fear of compilation error!With the increasing popularity and usage of Python in every field of IT, huge requirements have been created and recruiters are looking for experienced Python professionals as well as freshers having knowledge on Python. And, of course, yes, Python professionals are one of the highest paid among all.Python provides programmers with a huge extensive "built-in library" which can reduce programming effort drastically - days’ effort can come down to hours. Thus a significant amount of cost-saving has been accounted and as a result, IT industries, as well as freelancers are tending to be inclined more towards Python. Python is being widely used in every sector of IT.DOWNLOAD: Learn Python ProgrammingPython is being widely used in each and every sector of IT.Product development: From companies like Google, Amazon, Facebook, Instagram to start-ups and service-based MNCs are using Python to develop their software.Software Testing: All the testing tools are being migrated to collaborate with Python from Java, Ruby, and other languages.Data Science: Python provides many libraries and frameworks (e.g PyBrain, NumPy, SymPy, matplotlib, PyMySQL), which can be used effectively in data analysis.Artificial Intell ungekürzt. Language: English. Narrator: Kevin Tromp. Audio sample: https://samples.audible.de/bk/acx0/173101/bk_acx0_173101_sample.mp3. Digital audiobook in aax.

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  Python for Data Analysis: Tutorial for Beginners , Hörbuch, Digital, ungekürzt, 189min

  Do you want to learn Python for data analysis using NumPy, Pandas, and IPython? You don't know how and where to begin? You don't need a boring and expensive textbook. This audiobook is the best one for every listener!There are several reasons why it's ideal. The author has explored everything about Python for data analysis using Pandas, NumPy, Ipython and Matplotlib libraries from the basics. The book employs a simple language throughout. Many examples have been given, both theoretically and practically. The book includes details about program outputs.The book is designed in a step-by-step format ideal for beginners. It will help you:Understand why you should choose Python for data analysis tasksKnow the various data analysis libraries supported by Python and how to use them.Know how to analyze your business data and draw meaningful insights for effective decision making.Equip you with data analysis skills using Python programming language.Know where data analysis is applied today and how to use it in your everyday life.Who is this book suitable for?The target audience for this book are:Anybody who is a complete beginner to data analysis with Python or data analysis in general.Anybody who wants to advance their data analysis skills with Python programming language.Anybody who wants to know how to use data analysis for the benefit of their business or brand. Professionals in data science, computer programming, computer science.Professors, lecturers, or tutors who are looking to find better ways to explain Python for data analysis to their students in the simplest and easiest way.Students and academicians, especially those focusing on python programming, computer science, neural networks, machine learning, and deep learning. What do you need?You are required to have these installe ungekürzt. Language: English. Narrator: Clay Willison. Audio sample: https://samples.audible.de/bk/acx0/170566/bk_acx0_170566_sample.mp3. Digital audiobook in aax.

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  Machine Learning: Guide to Deep Learning, Python, and Neural Networks for Business , Hörbuch, Digital, ungekürzt, 187min

  If you want to unleash the power of data science research, machine learning tools, and learn how to optimize business processes with neural networks, then this is the audiobook for you...Do you want to leverage data science and analytics for good decision making that will give your business a huge boost? Are you looking for cheap ways to implement the practical applications of data science and machine learning to help you stay ahead of your competitors?In this guide, you will learn the processes used by successful companies to turn raw data into powerful insights using open source tools and libraries such as Python, SciKit, and others. You'll also learn how to apply these methods to your own business data to help you make robust decisions.Here's a preview of what you're going to discover in Machine Learning:Everything you need to know about Machine Learning and why it's important for modern businessesStrong deep learning and machine learning tools, languages, and libraries you need to know aboutA crash guide to Python basics - variables, functions, data types, loop processing, and more6 powerful reasons why Python is the perfect language to perform business-related data science and machine learning tasksHow to analyze data with the Python SciKit Learn libraryStep-by-step instructions to set up a Python environment and install the relevant machine learning packagesHow to use matplotlib to visualize your data with beautiful imagesA gentle introduction to working with recurrent neural networks (RNN)And tons more!Whether you're simply intrigued about the business applications of data science or looking for ways to optimize your activity and streamline operations, this guide will show you everything you need to extract value from your business data.Get this audiobook and listen now! ungekürzt. Language: English. Narrator: Mack Allan, Nicholas Vogl. Audio sample: https://samples.audible.de/bk/acx0/178916/bk_acx0_178916_sample.mp3. Digital audiobook in aax.

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  Python for Data Science: A Crash Course for Data Science and Analysis, Python Machine Learning and Big Data , Hörbuch, Digital, ungekürzt, 234min

  If you are looking to master the fundamental concepts of data science driven by the Python programming language to develop a solid understanding of all the latest cutting-edge technologies, then this is just that one comprehensive audiobook you have been waiting for.This audiobook is carefully narrated to help you master the core concepts of Python programming and utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in such volume, even if you have never learned any programming languages before.Python has been designed primarily to emphasize readability of the programming code, and its syntax will enable you to convey ideas using fewer lines of code.Some of the highlights of this audiobook include:The five major stages of the TDSP lifecycleInstallation instructions for PythonPython coding concepts such as data types, classes, objects variables, numbers, constructor functions, Booleans, and much moreThe functioning of various data science libraries like Scikit-LearnDeep-dive into the Matplotlib libraryWays how machine learning allows analysis of large volumes of data and delivers faster and more accurate resultsOverview of four different machine learning algorithmsWays how companies are able to employ a predictive analytics modelEvery concept in this audiobook is explained with examples and exercises so you can learn and test your learning at the same time. There are a variety of real-life examples of the application of machine learning technology that has been provided to help you understand the importance of all the cutting-edge technologies in shaping our world today.If you want to learn more about Python for data science, then simply click the "buy now" button on this page to get started. ungekürzt. Language: English. Narrator: D. Wolf. Audio sample: https://samples.audible.de/bk/acx0/199933/bk_acx0_199933_sample.mp3. Digital audiobook in aax.

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  Einführung in Machine Learning mit Python

  Machine Learning ist zu einem wichtigen Bestandteil vieler kommerzieller Anwendungen und Forschungsprojekte geworden, von der medizinischen Diagnostik bis hin zur Suche nach Freunden in sozialen Netzwerken. Um Machine- Learning-Anwendungen zu entwickeln, braucht es keine großen Expertenteams: Wenn Sie Python-Grundkenntnisse mitbringen, zeigt Ihnen dieses Praxisbuch, wie Sie Ihre eigenen Machine-Learning-Lösungen erstellen.Mit Python und der scikit-learn-Bibliothek erarbeiten Sie sich alle Schritte, die für eine erfolgreiche Machine-Learning- Anwendung notwendig sind. Die Autoren Andreas Müller und Sarah Guido konzentrieren sich bei der Verwendung von Machine-Learning-Algorithmen auf die praktischen Aspekte statt auf die Mathematik dahinter. Wenn Sie zusätzlich mit den Bibliotheken NumPy und matplotlib vertraut sind, hilft Ihnen dies, noch mehr aus diesem Tutorial herauszuholen.Das Buch zeigt Ihnen:- grundlegende Konzepte und Anwendungen von Machine Learning- Vor- und Nachteile weit verbreiteter maschineller Lernalgorithmen- wie sich die von Machine Learning verarbeiteten Daten repräsentieren lassen und auf welche Aspekte der Daten Sie sich konzentrieren sollten- fortgeschrittene Methoden zur Auswertung von Modellen und zum Optimieren von Parametern- das Konzept von Pipelines, mit denen Modelle verkettet und Arbeitsabläufe gekapselt werden- Arbeitsmethoden für Textdaten, insbesondere textspezifische Verarbeitungstechniken- Möglichkeiten zur Verbesserung Ihrer Fähigkeitenin den Bereichen Machine Learning und Data Science

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