147 Results for : numpy

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    Machine Learning with Python: Comprehensive Guide of Tips and Tricks of using Machine Learning Theories with Python , Hörbuch, Digital, ungekürzt, 472min
    Machine learning is a branch of artificial intelligence that designs algorithms that improve their performance based on empirical data. Machine learning is one of the most active and exciting fields of computer science today, mainly because of its many application options ranging from pattern recognition and in-depth data analysis to robotics, computational vision, bioinformatics, and computational linguistics. Machine learning is above all a discipline that can contribute to many domains and has very challenging applications. This is the area where most publications in academia are concerned with artificial intelligence, and all major companies, such as Google, Facebook or Microsoft, apply machine learning methods in their applications. This book covers the theory, principles, and tricks to machine learning and provides an overview of its applications in Python.In the field of data science, it comes quite natural that you should learn Python. If you're wondering why Python is the answer, the answer is that there are already ready packages (statistical and numerical) for analyzing data such as PyBrain, NumPy, and MySQL. Machine learning integrates computers and statistics that allow computers to learn new tasks. There are Python modules - such as Scikit-learn, Tensorflow, and Theano - that support machine learning so that you can do cool things such as spam detection and fingerprint identification. So these are some of the concepts that you will master listening to this book.At last, the best way to learn data science is to do it, and there is no alternative. We firmly believe that at the end of this book, you will be equipped with all the necessary skills that are required to embed a Python model into a real-life application. We truly believe that you will find this book a significant investment in your data research, which will make your learning experience fun and engaging! ungekürzt. Language: English. Narrator: Dave Wright. Audio sample: https://samples.audible.de/bk/acx0/187012/bk_acx0_187012_sample.mp3. Digital audiobook in aax.
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    Data Science for Beginners: The Ultimate Guide to Developing Step by Step Your Data Science Skills from Scratch, to Make the Best Decisions and Predictions , Hörbuch, Digital, ungekürzt, 301min
    Become a master data analyst with this comprehensive guide on data science!Are you struggling with organizing your company’s data? Perhaps, you’re looking for the best way to organize it, but don’t know where to start? Do the words “data science” and “data analysis” sound complicated and intimidating? If your answer is yes to any of those questions, this comprehensive guide on data science is exactly what you need. You’ll enter the world of data analysis as a beginner, but Matt Foster will make sure you exit as a master. In this book, you’ll find methods and techniques to organize your data, extract the information, and analyze it. There’s a way to make sure your company is going in the right direction, and this audiobook will reveal the secret behind a successful business. Here’s what you get:A detailed introduction on data science, its applications, and fields of studyAn easy to understand guide on data analysisA list of the Python Data typesInstructions on how to use the Python language and codeA step-by-step guide on object-oriented programming (OOP) and mind mappingA detailed list of statistical techniques used in data analysisInstructions on how to start using data science in your company or businessA guide on programming languages used in data sciencePresentation of classification and prediction methods of data miningA guide on data preparation and why it’s importantAn introduction to NumPy mechanism and how to use itAnd so much more! Every company or business, no matter how large or small, generates a crazy amount of data. If that data is not processed properly, your production and profit can suffer. Avoid it by implementing data science methods in your company operations. Don’t be intimidated by big, scientific words. This guide presents its content clearly and understandably.You’ll ungekürzt. Language: English. Narrator: George Johnson. Audio sample: https://samples.audible.de/bk/acx0/196080/bk_acx0_196080_sample.mp3. Digital audiobook in aax.
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    Python for Data Analysis: A Complete Guide for Beginners, Including Python Statistics and Big Data Analysis , Hörbuch, Digital, ungekürzt, 185min
    Are you struggling to figure out which product you should introduce to the market? Or, on how to reach your customers and get them to pay attention to you rather than the competition? Worried about the amount of waste that is going on in your business and how much it is costing you, or many other business problems? Then completing a good data analysis with the help of the Python language may be the right choice for you. Many parts need to come together when working on data analysis. Some of the topics that we need to explore when it comes to working on a Python data analysis will include:What the Python language is all about and how we are able to utilize it to get a lot of coding doneA look at the data analysis and how we can benefit, no matter what industry we areHow Python is able to work well with the data analysis and why it is the number one language to help you handle thisA look at some of the steps that we are able to utilize when it comes to our data analysis so we can get it all done the right wayHow to install and use the NumPy library, one of the best extensions with Python, to help us get our data analysis doneHow to work with the Pandas and IPython extensions so that we are able to get things done with your analysisThe practical uses of the data analysis to help you get it doneA look at the Matplotlib library to help you create some of your own visuals with your data when the analysis is doneHow to work with data visuals and how they are so important to your work  If you want to learn more about Python for data analysis, then buy this audiobook to get started. ungekürzt. Language: English. Narrator: D. Wolf. Audio sample: https://samples.audible.de/bk/acx0/198450/bk_acx0_198450_sample.mp3. Digital audiobook in aax.
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    Python for Data Science: The Ultimate Guide to Learn Data Analysis, Visualization and Mining with Pandas, NumPy, IPython and Scikit-Learn , Hörbuch, Digital, ungekürzt, 226min
    This audiobook gives you the perfect foray into data analysis. We discuss data analysis in Python in a way that will benefit you irrespective of your expertise level in Python. At the beginner level, you will appreciate the simple but elaborate approach we use to introduce you to basic Python concepts necessary for data analysis. With this knowledge, you can establish your foundation in data analysis, and build on that over time as you become accustomed to more complex subjects.For intermediate and expert users, you can also benefit from this book by using it as a reminder of some of the key points that define data science. When you dwell in a field for a long time, it is easy to take some things for granted. This happens to many programmers and developers. This audiobook reminds you of the basic building principles that have helped you become one of the best data analysts in your field.Python libraries are some of the most important features in Python programming. The libraries help you perform tasks that would have otherwise been impossible to perform, or cumbersome. We discuss the major Python libraries you will use all the time, and highlight the main ones relevant to data analysis so you can get the distinction.Take note that data science is not an isolated subject. Most of the disciplines that involve Python programming depend on data, so you can expect to use the knowledge learned in this audiobook in other fields, too. For example, when you advance into machine learning, your ability to perform exceptional data analysis will be required to help you build and train relevant machine learning models. Therefore, this audiobook will not just get you ready for data analysis, it will prepare you for various fields in Python programming, including artificial intelligence, deep learning, and machine learning.Besides discussing the main Python libraries, we investigate the major data analysis libraries like Pandas and Matplotlib in-depth ungekürzt. Language: English. Narrator: Rick Stevens. Audio sample: https://samples.audible.de/bk/acx0/196950/bk_acx0_196950_sample.mp3. Digital audiobook in aax.
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    Machine Learning - kurz & gut
    Der kompakte Schnelleinstieg in Machine Learning und Deep Learning Die Neuauflage des Bestsellers wurde ergänzt durch die Themen Unsupervised Learning und Reinforcement Learning Anhand konkreter Datensätzen lernen Sie einen typischen Workflow kennen: vom Datenimport über Datenbereinigung, Datenanalyse bis hin zur Datenvisualisierung Nicht nur für zukünftige Data Scientists und ML-Profis geeignet, sondern auch für Interessierte, die nur am Rande mit ML zu tun haben, wie z. B. Softwareentwicklerinnen Machine Learning beeinflusst heute beinahe alle Bereiche der Technik und der Gesellschaft. Dieses Buch bietet Interessierten, die einen technischen Hintergrund haben, die schnellstmögliche Einführung in das umfangreiche Themengebiet des maschinellen Lernens und der statistischen Datenanalyse. Dabei werden folgende Themen behandelt und mit praktischen Beispielen veranschaulicht:Datenimport und -vorbereitung Supervised Learning Feature-Auswahl, Modellvalidierung Neuronale Netze und Deep Learning Unsupervised Learning Reinforcement Learning Anhand konkreter Datensätze lernen Sie einen typischen Workflow kennen: vom Datenimport über Datenbereinigung, Datenanalyse bis hin zur Datenvisualisierung. Die Codebeispiele basieren auf Python und den Bibliotheken Scikit-Learn, Pandas, NumPy, TensorFlow und Keras.Nach der Lektüre dieses Buchs haben Sie einen Überblick über das gesamte Thema und können Ansätze einordnen und bewerten. Das Buch vermittelt Ihnen eine solide Grundlage, um Ihre ersten eigenen Machine-Learning-Modelle zu trainieren und vertiefende Literatur zu verstehen.
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    Python Machine Learning: Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order to Build Intelligent Systems , Hörbuch, Digital, ungekürzt, 214min
    Do you want to learn how to apply efficiently your Python knowledge to implement learning models? Do you want to understand which ones are the best libraries to use and why Python is considered the best language for machine learning? What do you need to learn to move from being a complete beginner to someone with advanced knowledge of machine learning?Tech is slowly moving towards high-level automation, robotics, machine learning, artificial intelligence, big data, and other high level computing concepts. That’s why self-driving cars, customized product recommendations, real time pricing, facial recognition, retargeting ads, geo-targeting, using bots for customer service, and much more is a thing these days. So if you ever want to leverage the full power of any of these advanced computing concepts, now is the right time to get in!So where do you even start?Well, my recommendation is to start by learning machine learning, as that will effectively help you to understand the ins and outs of how to build intelligent systems.In this audiobook, you will learn:The basics of machine learningHow machine learning is beneficial in today’s worldThe basics about machine learning, including what it is, how it developed, the place of big data in machine learning as well as how machine learning worksHow machine learning works in seven simple stepsWhich ones are the best libraries and how to import themMultiple ways to access computing power in machine learningAnd much more!Even if this is your first encounter with machine learning and you want to dip your feet into the world of high level computing concepts like machine learning, deep learning, artificial intelligence, and more, this book will break everything down using easy-to-follow language to help you to apply what you learn right away!Would you like to know more?Scroll to the top of the page and select ungekürzt. Language: English. Narrator: Russell Newton. Audio sample: https://samples.audible.de/bk/acx0/190574/bk_acx0_190574_sample.mp3. Digital audiobook in aax.
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    Neuronale Netze und Deep Learning kapieren
    Von den Grundlagen Neuronaler Netze über Machine Learning bis hin zu Deep-Learning-Algorithmen Anschauliche Diagramme, Anwendungsbeispiele in Python und der Einsatz von NumPy Keine Vorkenntnisse in Machine Learning oder höherer Mathematik erforderlich Deep Learning muss nicht kompliziert sein. Mit diesem Buch lernst du anhand vieler Beispiele alle Grundlagen, die du brauchst, um Deep-Learning-Algorithmen zu verstehen und anzuwenden. Dafür brauchst du nichts weiter als Schulmathematik und Kenntnisse der Programmiersprache Python. Alle Codebeispiele werden ausführlich erläutert und mathematische Hintergründe anhand von Analogien veranschaulicht.Der Autor erklärt leicht verständlich, wie Neuronale Netze lernen und wie sie mit Machine-Learning-Verfahren trainiert werden können. Du erfährst, wie du dein erstesNeuronales Netz erstellst und wie es mit Deep-Learning-Algorithmen Bilder erkennen sowie natürliche Sprache verarbeiten und modellieren kann. Hierbei kommen Netze mit mehreren Schichten wie CNNs und RNNs zum Einsatz.Fokus des Buches ist es, Neuronale Netze zu trainieren, ohne auf vorgefertigte Python-Frameworks zurückzugreifen. So verstehst du Deep Learning von Grund auf und kannst in Zukunft auch komplexe Frameworks erfolgreich für deine Projekte einsetzen.Aus dem Inhalt:Parametrische und nichtparametrische ModelleÜberwachtes und unüberwachtes LernenVorhersagen mit mehreren Ein- und AusgabenFehler messen und verringernHot und Cold LearningBatch- und stochastischer GradientenabstiegÜberanpassung vermeidenGeneralisierungDropout-VerfahrenBackpropagation und Forward PropagationBilderkennungVerarbeitung natürlicher Sprache (NLP)SprachmodellierungAktivierungsfunktionenSigmoid-FunktionTangens hyperbolicusSoftmaxConvolutional Neural Networks (CNNs)Recurrent Neural Networks (RNNs)Long Short-Term Memory (LSTM)Deep-Learning-Framework erstellen
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    Python 3 Crashkurs (eBook, PDF)
    Ihr Weg zum Python-Profi! US-Bestseller Lernen Sie Python programmieren wie die Profis Komplett aktualisiert auf Python 3 "Python Crashkurs" ist eine kompakte und gründliche Einführung, die es Ihnen nach kurzer Zeit ermöglicht, Python-Programme zu schreiben, die für Sie Probleme lösen oder Ihnen erlauben, Aufgaben mit dem Computer zu erledigen. In der ersten Hälfte des Buches werden Sie mit grundlegenden Programmierkonzepten wie Listen, Wörterbücher, Klassen und Schleifen vertraut gemacht. Sie erlernen das Schreiben von sauberem und lesbarem Code mit Übungen zu jedem Thema. Sie erfahren auch, wie Sie Ihre Programme interaktiv machen und Ihren Code testen, bevor Sie ihn einem Projekt hinzufügen. Danach werden Sie Ihr neues Wissen in drei komplexen Projekten in die Praxis umsetzen: ein durch "Space Invaders" inspiriertes Arcade-Spiel, eine Datenvisualisierung mit Pythons superpraktischen Bibliotheken und eine einfache Web-App, die Sie online bereitstellen können. Während der Arbeit mit dem "Python Crashkurs" lernen Sie, wie Sie: - leistungsstarke Python-Bibliotheken und Tools richtig einsetzen - einschließlich matplotlib, NumPy und Pygal - 2D-Spiele programmieren, die auf Tastendrücke und Mausklicks reagieren, und die schwieriger werden, je weiter das Spiel fortschreitet - mit Daten arbeiten, um interaktive Visualisierungen zu generieren - Web-Apps erstellen und anpassen können, um diese sicher online zu deployen - mit Fehlern umgehen, die häufig beim Programmieren auftreten Dieses Buch wird Ihnen effektiv helfen, Python zu erlernen und eigene Programme damit zu entwickeln. Warum länger warten? Fangen Sie an!
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    • Price: 22.99 EUR excl. shipping
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    Learning Python: The Ultimate Guide to Learning How to Develop Applications for Beginners with Python Programming Language Using Numpy, Matplotlib, Scipy and Scikit-Learn , Hörbuch, Digital, ungekürzt, 182min
    Are you looking to learn more about the world of coding and programming but you are worried that it is going to be too hard and too complicated to get started?Have you been interested in learning how to code but worry that it is too hard and that you won't be able to learn all of the different parts that come together to make a program work?Do you have a great idea for an app or a program that you want to create but you don't know how to make it all work and how to put it together?There are a lot of reasons to learn a new coding language but no matter what reason is behind your motivation, the Python coding language is going to be the platform that you need to make it all happen. This guidebook is going to spend some time looking into the Python coding language, and all of the different things that you are able to do with it.In this guidebook, we are going to explore a lot of the different parts of the Python code and how you can put it all together while learning how to code!Some of the topics that we will discuss inside include:What is Python and why would I want to learn how to work with it?The basics of the Python code and how to get started writing some of our ownWhat it means that Python is an OOP language and how that is going to make a difference in my codingHow to write some loops and conditional statements in the Python languageWhat is an exception and how to handle the automatic exceptions in this code while writing some of your ownHow to work with an inheritance to save some room and make code writing a bit easierHow to write some of your own regular expressions and why they are so important to your goals in code writing with PythonA look at some of the best Python libraries including Matplotlib and Scikit-Learn and what you are able to do with them when you are working on your codesThere is just so much that you will be ab ungekürzt. Language: English. Narrator: Sean Antony. Audio sample: https://samples.audible.de/bk/acx0/165151/bk_acx0_165151_sample.mp3. Digital audiobook in aax.
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    Python for Data Analysis: A Step by Step Guide to Master the Basics of Data Analysis in Python Using Pandas, Numpy and Ipython (Data Science) , Hörbuch, Digital, ungekürzt, 181min
    If you want to learn more about data analysis or how to master it with the Python programming language, then keep reading.Everyone talks about data today. You have probably come across the term “data” more times than you can remember in one day. Data, as a concept, is so wide. One thing that is true about data is that it can be used to tell a story.Many tools can be used for data analysis. For this reason, the ultimate choice often becomes a challenge for most people. To set you on the right path, the first step is to decide which language you want to learn, then build from there. With Python for Data Analysis, you will learn about the main steps that are needed to correctly implement data analysis and the procedures to help you extract the right insights from the right data. Some of the topics that we will discuss inside include:What data analysis is all about and why businesses are investing in this sectorThe five steps of a data analysisThe seven Python libraries that make Python one of the best choices for data analysisHow data visualization and Matplotlib can help you to understand the data you are working with.Some of the main industries that are using data to improve their business with 14 real-world applicationsWhile most books focus on how to implement advanced predictive models, this book takes the time to explain the basic concepts and all the necessary steps to correctly implement data analysis, including data visualization and providing simple coding scripts. Even if you never used data analysis, learning it is easier than it looks. This practical guide provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the steps of data analysis, how to implement them in Python, and the most important real-world applications.If you want to know more about data analysis and how to implemen ungekürzt. Language: English. Narrator: Russell Newton. Audio sample: https://samples.audible.de/bk/acx0/185733/bk_acx0_185733_sample.mp3. Digital audiobook in aax.
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