Why does language change? Why can we speak to and understand our parents but have trouble reading Shakespeare? Why is Chaucer's English of the fourteenth century so different from Modern English of the late twentieth century that the two are essentially different languages? Why are Americans and English 'one people divided by a common language'? And how can the language of Chaucer and Modern English - or Modern British and American English - still be called the same language? The present book provides answers to questions like these in a straightforward way, aimed at the non-specialist, with ample illustrations from both familiar and more exotic languages. Most chapters in this new edition have been reworked, with some difficult passages removed, other passages thoroughly rewritten, and several new sections added, e.g. on the regularity of sound change and its importance for general historical-comparative linguistics. Further, the chapter notes and bibliography have all been updated. The content is engaging, focusing on topics and issues that spark student interest. Its goals are broadly pedagogical and the level and presentation are appropriate for interested beginners with little or no background in linguistics. The language coverage for examples goes well beyond what is usual for books of this kind, with a considerable amount of data from various languages of India.
If you want to learn about data analytics and data mining then keep reading....This is a collection of two comprehensive books in one. Here are just some of the topics that are discussed in the first part of this audiobook:Overview of data analytics - what data analytics is (and big data analytics)Further pattern discovery in advanced analytics - machine learningAnd much, much moreIn part two of this audiobook, you will learn the following:Model creationHow to prepare your dataHow to clean your dataData miningSimilarity and distances of dataThe effect of data distributionAssociation pattern miningWhat cluster analysis isWhat an outlier in data mining isHow to deal with outliers in data miningMethods of identifying outliers in dataApplications of data mining in the business industrySo if you are serious about becoming an expert in data analytics and data mining, start with this audiobook! 1. Language: English. Narrator: Sam Slydell, Dryw McArthur. Audio sample: http://samples.audible.de/bk/acx0/130610/bk_acx0_130610_sample.mp3. Digital audiobook in aax.
Read this carefully. Give me five days, and I'll give you the secret of mastering data mining techniques!Do you or your company have large volumes of data that you never know what to do with? Do you use this information to make informed decisions for yourself or your company? Do you want to know if there is some way for you to extract the hidden information in your data?Extremely hands-on, incredibly practical, and unbelievably real! This is not one of those books filled with fluff, where everything works out just the way it should, and your data mining journey is smooth sailing. These books throw you into the deep end. In this book, you will experience firsthand all of the pain a data scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it! Your ultimate guide to a comprehensive understanding of data mining. If you answered yes to these questions, then you have come to the right place.Today, the business environment is competitive, and there is a need for every business to extract some meaningful and hidden information from the data it collects. As a business owner, you can use this data to learn more about your customers’ behavior. You can use it to gain a competitive edge over your competitors.This book will thoroughly go over all the skills, people, and steps involved in mastering data mining. Here is a preview of what you'll discover in this step-by-step audiobook:Model creationHow to prepare your dataHow to clean your dataData miningSimilarity and distances of dataThe effect of data distributionAssociation pattern miningWhat cluster analysis isModel creationHow to prepare your dataHow to clean your dataData miningSimilarity and distances of dataThe effect of data distributionThere are tons of data that you can find on the internet 1. Language: English. Narrator: Aidan McKernan. Audio sample: http://samples.audible.de/bk/acx0/207860/bk_acx0_207860_sample.mp3. Digital audiobook in aax.
It doesn’t matter if your business has three employees or 300. You are likely generating far more information that you may realize and, certainly, far more than you are likely tracking effectively. Understanding what this data truly means starts with managing it successfully, which is where the process of data analytics comes into play. If you like the sound of putting your data to good use but aren’t quite sure what the ins and outs of data analytics entails, then Data Analytics: 4 Books in 1- Bible of 4 Manuscipts is your perfect learning guide. On average, there are roughly two quintillion bytes worth of new data created each and every day, which means that knowing what to do with it is easily a full-time job. Luckily, there are a wide variety of options out there when it comes to focusing in on the data that you want to use and using it in the most effective way possible. Inside you will find all the tools you are going to need in order to do just that, regardless if you are part of multinational conglomerate or are running your own startup. Having the right data means being able to make the right decisions about your future because you know what your customers want, often before they do. Making the right decision in the moment means understanding the potential that this bundle of four books is offering and making the choice to go ahead and click buy! Your future, more successful business will thank you. So, what are you waiting for? Grab this powerful four-book bundle that teaches you all about data analytics. 1. Language: English. Narrator: William Bahl. Audio sample: http://samples.audible.de/bk/acx0/117469/bk_acx0_117469_sample.mp3. Digital audiobook in aax.
In today's day and age, it's become essential that Data Analytics must be part of your business model. Having the proper analytics to further enhance your existing or new business is critical for pinpointing problems and achieving successes. Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science, and Predictive Analytics for Beginners is targeted towards business owners or for anyone interested in wanting an in-depth learning experience with data analytics. Furthermore, for those who want to improve the sales and revenue for their business, but needs a guide regarding data analytics, then this book is perfect for you! This book delineates the types of data analytics best for business owners, how to analyze the business, and how to calculate the statistical data. In addition, this book will thoroughly discus the following topics: Why your business should be using data analytics Issues with using big data Effective data management Examples of data management in the real world The different kinds of data analytics and their definitions How data management, data mining, data integration and data warehousing work together A step-by-step guide for conducting data analysis for your business An organizational guide to data analytics Tools for data visualization Using social media analytics I want to make sure this book will provide high value to you and give you new insights. What makes this book different than other data analytics books is that it is a truly comprehensive guide to help your business prosper and find new ways of looking at your business model from a totally different perspective. 1. Language: English. Narrator: Kevin Theis. Audio sample: http://samples.audible.de/bk/acx0/067786/bk_acx0_067786_sample.mp3. Digital audiobook in aax.
This audiobook offers a smart introduction to data analysis using Python and is one of the best books available in the market. It covers basic and advanced data analysis concepts in detail using several Python libraries that are well-known for their data analytical features. The book explains everything in detail and, sometimes, enhances the listeners' knowledge by touching on some advanced topics that need strict adherence and sincerity to master. In this audiobook, we start with an introduction to data analysis using the catering system as an example. We always strive to give Python code for the concepts discussed because it gives a practical understanding of the topic. Below are some the most important topics we have discussed in this book, in no particular order:Data analysis with a universal catering system that helps us understand different data mining models availableIntroduction to Python, Numpy, and Pandas and their installationNumpy and advanced array functions it offersPandas and functions it offersBasic and advanced data analysis skillsPlotting features in data analysisTime series functions in data analysisE-commerce example to understand the real-world application of data analysisSo, what are you waiting for? Go on a drive to conquer data analysis skills by using this audiobook. 1. Language: English. Narrator: Johee Chung. Audio sample: http://samples.audible.de/bk/acx0/177097/bk_acx0_177097_sample.mp3. Digital audiobook in aax.
Two exact books in one about the science of analyzing data for business. Book one: Learn more about how to analyze data now! This elaborate guide will take you on a journey to multiple aspects of this skill. There is a trick, a science, to doing it the right way, and some of the most important secrets will be revealed in the chapters ahead of you. You'll learn, among others: What the big deal with big data is and what to do with them Fundamentals, risks, and strategies to analyze data Social network data analysis Applications to health care, business, and industrial data Tips on analyzing decision trees, regression, and sentiment The most important basics each analytical geek wants to know before takes these practices to the next level. Book two: Explore the field of data science, and the way to analyze big and small data. This technical book goes over the main aspects of analyzing data correctly by using various strategies you need to implement in order to get results that are precise and beneficial. Learn about: Modeling data and visualization The three Vs of big data and what to do with them Software recommendations and applications Machine algorithms and interesting side notes regarding them Rules, infrastructure, adaptation, and other techniques Perception and cognition basics that apply to data Efficient uses of regression, database querying, machine learning, and data warehousing 1. Language: English. Narrator: Judy Rounda. Audio sample: http://samples.audible.de/bk/acx0/094734/bk_acx0_094734_sample.mp3. Digital audiobook in aax.
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 1. Language: English. Narrator: Russell Newton. Audio sample: http://samples.audible.de/bk/acx0/185733/bk_acx0_185733_sample.mp3. Digital audiobook in aax.
If you want to learn more about data science or how to master it with the Python programming language, then keep reading...Data science is one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: What is the next step?Data science includes all the different steps that you take with the data: collecting and cleaning them if they come from more than one source, analyzing them, applying machine learning algorithms and models, and then presenting your findings from the analysis with some good data visualizations. And this is what you will learn in Python Data Science.You will learn about the main steps that are needed to correctly implement data science techniques and the algorithms to help you sort through the data and see some amazing results. Some of the topics that we will discuss inside include:What data science is all about and why so many companies are using it to give them a competitive edgeWhy Python and how to use it to implement data scienceWhat is the intersection between machine learning and data science and how to combine themWhat are the main data structures and object-oriented Python, with practical codes and exercises to use PythonWhat are the functions and modules in PythonWhat are the seven most important algorithms and models in data scienceWhat are data aggregation and group operationsWhat are the nine important data mining techniques in data scienceHow do databases and data interact in the cloudWhere most books only focus on how collecting and cleaning the data,this book goes further, providing guidance on how to perform a proper analysis in order to extract precious information that may be vital for a business. Don't miss the opportunity to learn more about these to 1. Language: English. Narrator: Russell Newton. Audio sample: http://samples.audible.de/bk/acx0/181288/bk_acx0_181288_sample.mp3. Digital audiobook in aax.