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  Python Data Science: An Advanced Guide on How to Improve Your Programming, Coding and Data Analytics Skills , Hörbuch, Digital, ungekürzt, 207min

  Are you ready to advance your skills in data science? Then, this is the guidebook for you! We are going to spend some time exploring the basics of data science and how we can go through each of the steps to get the data science process to work for you. From exploring the raw data to data munging, data mining, data preprocessing, and data visualization, you will be able to get started on your own data analysis and make the right business decisions for your needs.Working with a data science project with the help of Python can be complex, and it may take some time, but the effort is really worth it.In this audiobook, we will explore the various steps that you need to take to make this happen, including some of the following topics:How data science and data analysis will change in the futureWhat is the process of data munging and data miningHow to work with logistic and linear regression in PythonHow to manage your files in PythonWhat is the importance of visualizations in data scienceThere is so much that we are able to do when it comes to data science, and when we add in some of the libraries and functionalities that come with the Python language, it is even easier to work with. The future is at your fingertips. Use it wisely! ungekürzt. Language: English. Narrator: George Johnson. Audio sample: https://samples.audible.de/bk/acx0/188391/bk_acx0_188391_sample.mp3. Digital audiobook in aax.

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  Natural Language Processing with Python: Natural Language Processing Using NLTK , Hörbuch, Digital, ungekürzt, 145min

  This audiobook is a perfect beginner's guide to natural language processing. It is offering an easy-to-understand guide to implementing NLP techniques using Python. Natural language processing has been around for more than 50 years, but just recently, with greater amounts of data present and better computational powers, it has gained a greater popularity.Given the importance of data, there is no wonder why natural language processing is on the rise. If you are interested in learning more, this audiobook will serve as your best companion on this journey introducing you to this challenging yet extremely engaging world of automatic manipulation of our human language.It covers all the basics you need to know before you dive deeper into NLP and solving more complex NLP tasks in Python.Here is a preview of what you'll learn here....The main challenges of natural language processingThe history of natural language processingHow natural langauge processing actually worksThe main natural language processing applicationsText preprocessing and noise removal Feature engineering and syntactic parsingPart of speech tagging and named entity extractionTopic modeling and word embedding Text classification problems Working with text data using NLTK Text summarization and sentiment analysis And much, much more....PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. ungekürzt. Language: English. Narrator: Jon Wilkins. Audio sample: https://samples.audible.de/bk/acx0/112216/bk_acx0_112216_sample.mp3. Digital audiobook in aax.

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  • Price: 9.95 EUR excl. shipping
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  Letter-to-Phoneme Conversion

  Letter-to-Phoneme Conversion ab 49 € als Taschenbuch: Morphological Preprocessing Syllabification Word Stress Assignment and Letter-to-Phoneme Conversion with a Focus on German. Aus dem Bereich: Bücher, Wissenschaft, Sprachwissenschaft,

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  • Price: 49.00 EUR excl. shipping
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  Applied Predictive Modeling: An Overview , Hörbuch, Digital, ungekürzt, 113min

  Predictive modeling uses statistics in order to predict outcomes. However, predictive modeling can be applied to events regardless of time of occurrence. When it comes to the applications of predictive modeling, techniques are used in various fields including algorithmic trading, uplift modeling, archaeology, health care, customer relationship management, and many others. This book covers the predictive modeling process with fundamental steps of the process, data preprocessing, data splitting and crucial steps of model tuning and improving model performance. Further, the book will introduce you to the most common classification and regression techniques including logistic regression which is widely used when it comes to the finding the probability of event success or event failure. You will get to know the common predictive modeling techniques as well such as stepwise regression, polynomial regression, and ridge regression which will help you when you are dealing with the data that suffers from very common multicollinearity where independent variables are highly correlated. What you will learn in Applied Predictive Modeling: Most common predictive modeling techniques Types of regression models The overall predictive modeling process Fundamental steps to effective and highly accurate predictive modeling How to build predictive model with logistic regression with code listings How to build predictive model using Python How to enhance your model performance Parameters for increasing the overall predictive power How to handle class imbalance Common causes of poor model performance Listen to this book now and learn more about applied predictive modeling! ungekürzt. Language: English. Narrator: William Bahl. Audio sample: https://samples.audible.de/bk/acx0/097217/bk_acx0_097217_sample.mp3. Digital audiobook in aax.

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  Applied Predictive Modeling

  Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner's reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book's R package.This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.

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  • Price: 66.99 EUR excl. shipping
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  Machine Learning + AI: 2 Books in 1: Machine Learning for Smart Learners and Artificial Intelligence for Smart People , Hörbuch, Digital, ungekürzt, 414min

  Discover how to break into the highly lucrative field of deep learning and artificial intelligence and how to take advantage of the coming AI and neural networks revolution.Are you looking for a practical, hands-on guide to help get started with machine learning and artificial intelligence, but don't want to spend money on boring, dense textbooks or overpriced online video courses? Do you want to learn foolproof ways to use AI to optimize your business operations and improve profits?Then, this bundle is for you.Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by finely tuned algorithms trained with huge datasets. AI is transforming the way business is done; learn the techniques and strategies to apply this cutting-edge tech to your own businesses.Here's a preview of what you're going to discover in Machine Learning for Smart Learners:Everything you need to know about machine learning and how it worksReal-world use cases and application of machine learning in the finance industryWays for using machine learning to deal with data and extract useful insights from large datasetsFoolproof data preprocessing techniques used by data scientists and machine learning expertsThe five-step guide to create a data cleaning process that works effectivelyThe three steps to take if you're a complete beginner and want to learn how to program in Python for machine learningA crash guide to mastering Python programming fundamentals, from Python syntax and arrays to libraries and frameworksSteps to get out of the tutorial limbo and begin to work on your own projectsAnd much more!Among the insights contained in Artificial Intelligence for Smart People, you're going to discover:Everything you need to kno ungekürzt. Language: English. Narrator: Valentina Di Paola. Audio sample: https://samples.audible.de/bk/acx0/199279/bk_acx0_199279_sample.mp3. Digital audiobook in aax.

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  Machine Learning: 2 Manuscripts in 1 Book: Machine Learning for Beginners and Machine Learning with Python , Hörbuch, Digital, ungekürzt, 197min

  A baby learns to crawl, walk and then run. we are in the crawling stage when it comes to applying machine learning.Just about anyone with the slightest bit of interest in modern technology is looking to learn more about machine learning. This innovative, new form of computer programming is the primary tool that makes it possible for a machine to perform a wide range of tasks for you that could range from recommending a good movie to driving you to work every day.This Machine Learning bundle contains everything you need to know about machine learning and has the following guides:Machine Learning for BeginnersMachine Learning with PythonMost of the books on the topic assume that you have at least a fundamental knowledge of the subject. If you’re interested in getting a better grasp at just how this new technology works and what it means for the masses, then this is the book for you.Here you will learn:What machine learning truly is.What are neural networks.How it applies to deep learning.What are algorithms and how are they used.And some of the many applications that machine learning is already using.Are you stuck in getting started with machine learning with python? Machine Learning with Python walks you through steps for getting started with machine learning with Python. You’ll discover the steps required to develop a successful machine learning application using Python and Scikit-learn library. As a discipline, ML tries to design and understand computer programs for purpose of prediction. With Machine Learning with Python, you’ll learn :The important concepts and real-world application of machine learning.Pros and cons of most popular machine learning algorithms.The basics of Python.Learn about data preprocessing, analysis, and visua ungekürzt. Language: English. Narrator: William Bahl. Audio sample: https://samples.audible.de/bk/acx0/149886/bk_acx0_149886_sample.mp3. Digital audiobook in aax.

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  Python Machine Learning: The Crash Course for Beginners to Programming and Deep Learning, Artificial Intelligence, Neural Networks and Data Science. Scikit Learn, Tensorflow, Pandas and Numpy. , Hörbuch, Digital, ungekürzt, 181min

  Start programming python.What if you could make your own program, one that is able to learn by trial and error, or based on the information that you show it?What if you could get a program that could adapt and change based on the input of the user?And what if you were able to make all of this happen with the Python coding language, helping even beginner’s work with more complicated codes? This is all possible with Python machine learning.This guidebook is going to take some time to look at Python machine learning and all of the neat things that you are able to do with it. Machine learning is a growing field, one that a lot of programmers want to spend their time on.But even though this sounds like a complicated part of technology to work with, you will find that with the help of the Python coding language, anyone can start writing their own codes in machine learning.This guidebook is going to take a look at all of the different topics that you need to know in order to get started with Python machine learning. Some of the topics that we will explore inside include:The basics of machine learningThe difference between supervised and unsupervised machine learning.Setting up your new environment in the Python language.Data preprocessing with the help of machine learning.How to use Python coding to help with linear regression.Decision trees and random forests.How to work with support vector regression problems.Can machine learning really help with Naïve Bayes problems?Accelerated data analysis using the Python code.And so much more! If you have been interested in learning more about machine learning, and you want to be able to learn a few of the codes that can make it happen for you, make sure to check out this guidebook to help you get started!If all of this sounds like your ideal audiobook, the ungekürzt. Language: English. Narrator: Jason Belvill. Audio sample: https://samples.audible.de/bk/acx0/175333/bk_acx0_175333_sample.mp3. Digital audiobook in aax.

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  Python for Data Science: The Ultimate Guide for Beginners. Machine Learning Tools, Concepts and Introduction. Python Programming Crash Course. , Hörbuch, Digital, ungekürzt, 181min

  Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately?If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook!You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science. In each section you will learn a great deal of theory backed up by practical examples that contain well-explained Python code. Once you have the fundamentals down, you will get to the core of data science learning algorithms and techniques that are industry-standard in this field.Studying data science and working with supervised and unsupervised algorithms, as well as neural networks, doesn’t have to be as complicated as it sounds. Explore the world of data science using clear, simple, real-world examples and enjoy the power and versatility of Python and machine learning algorithms!You will explore:How to install Python and setup a scientific distribution.The most popular Python packages and library used in data science and machine learning, such as Scikit-learn, Numpy, Matplotlib, and Pandas.Data munging with pandas and how to import and prepare your dataset for preprocessing and exploration.How to further prepare your data for the data science pipeline by fully understanding concepts such as data exploration, dimensionality reduction, and outlier detection.How to implement supervised and unsupervised machine learning algorithms such as regression algorithms, the Naïve Bayes classifier, K-nearest neighbors, support vector machines, decision trees, and K-means clustering.Neural networks and how to work with feedforward and recurrent networ ungekürzt. Language: English. Narrator: Russell Newton. Audio sample: https://samples.audible.de/bk/acx0/185209/bk_acx0_185209_sample.mp3. Digital audiobook in aax.

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  Python Programming: The Ultimate Intermediate Guide to Learn Python Step by Step , Hörbuch, Digital, ungekürzt, 107min

  If you're looking to learn about Python, machine learning, and putting it to good use, then keep reading! Here's the thing: you've tried to make things easier for you in your job, home, or wherever just using classic programming, but there are things you can't do with it. These typically have only a linear structure - it can't learn anything new as any human would. Unfortunately, this is what you need: a program that learns on its own according to the data you feed it - no need to keep reprogramming it to update it every time there's new data! Does this sound like a familiar situation to you?If it is, then this book has all the answers! It will show you everything you need to know about Python, machine learning, and everything in between. This information allows you to become skilled much faster. Imagine cutting months off of your learning curve and getting a strong base of knowledge in no time at all. Imagine getting your project done yourself for a fraction of the cost. This is what this book can do for you.This audiobook does not contain some phony information written by amateurs. This isn't just a brief insight into python giving you basic knowledge. This audiobook provides detailed, scientific information compiled together by experts in an easy-to-listen-to fashion.In this Python guide, you will discover: The importance of machine learningThe basics of working with Python How to set up your Python environmentData preprocessing with machine learningWorking with linear regression in machine learning The benefits of a decision tree Working on the random forest algorithmThe advantages of the Naive Bayes AlgorithmHow can you use the KNN AlgorithmAnd so much moreSo, if this interests you at all, follow these instructions: buy this audiobook now and start learning Python Machine Learning today!  ungekürzt. Language: English. Narrator: Russell Newton. Audio sample: https://samples.audible.de/bk/acx0/132701/bk_acx0_132701_sample.mp3. Digital audiobook in aax.

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