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Data Mining Techniques, Third Edition
- For Marketing, Sales, and Customer Relationship Management
- Narrado por: Steve Menasche
- Duración: 38 h y 33 m
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Resumen del Editor
The leading introductory book on data mining, fully updated and revised!
When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition - more than 50 percent new and revised - is a significant update from the previous one and reveals how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics, such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.
- Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems.
- Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately.
- Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more.
- Provides best practices for performing data mining using simple tools such as Excel.
Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Harvard Business Review called data science “the sexiest job of the 21st century,” so it's no surprise that data science jobs have grown up to 20x in the last 3 years. With demand outpacing supply, companies are willing to pay top dollar for talented data professionals. However…To stand out in one of these positions, having foundational knowledge of interpreting data is essential.
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Make a Successful Career out of data Analytics
- De Kristin Reavis en 12-10-22
De: Elizabeth Clarke
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Everything Data Analytics A Beginner's Guide to Data Literacy
- Understanding the Processes That Turn Data Into Insights
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 3 h y 22 m
- Versión completa
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General
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Historia
With the world going remote, and data science following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information. Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.
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Great material for starters
- De Amazon Customer en 08-01-22
De: Elizabeth Clarke
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Information Architecture
- For the Web and Beyond
- De: Louis Rosenfeld, Peter Morville, Jorge Arango
- Narrado por: Theodore O'Brien
- Duración: 11 h
- Versión completa
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General
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Narración:
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Historia
Information architecture (IA) is far more challenging - and necessary - than ever. To guide you through this broad ecosystem, this popular guide - now in its fourth edition - provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.
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Well organized and right to the points
- De Jessica en 06-08-23
De: Louis Rosenfeld, y otros
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Data Science for Business
- What You Need to Know About Data Mining and Data-Analytic Thinking
- De: Foster Provost, Tom Fawcett
- Narrado por: Benjamin Lange
- Duración: 12 h y 46 m
- Versión completa
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Historia
Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.
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What I Was Looking For
- De Sean en 05-20-22
De: Foster Provost, y otros
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Data Science
- De: John D. Kelleher, Brendan Tierney
- Narrado por: Chris Sorensen
- Duración: 5 h y 51 m
- Versión completa
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Historia
It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.
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performance is borderline unlistenable
- De jlouviere en 01-14-19
De: John D. Kelleher, y otros
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Building Microservices
- Designing Fine-Grained Systems
- De: Sam Newman
- Narrado por: Theodore O'Brien
- Duración: 21 h y 12 m
- Versión completa
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General
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Narración:
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Historia
As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
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Easy to Understand
- De Anonymous User en 04-27-22
De: Sam Newman
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Data Analytics, Data Visualization & Communicating Data: 3 books in 1
- Learn the Processes of Data Analytics and Data Science, Create Engaging Data Visualizations, and Present Data Effectively
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 11 h y 2 m
- Versión completa
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General
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Narración:
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Historia
Harvard Business Review called data science “the sexiest job of the 21st century,” so it's no surprise that data science jobs have grown up to 20x in the last 3 years. With demand outpacing supply, companies are willing to pay top dollar for talented data professionals. However…To stand out in one of these positions, having foundational knowledge of interpreting data is essential.
-
-
Make a Successful Career out of data Analytics
- De Kristin Reavis en 12-10-22
De: Elizabeth Clarke
-
Everything Data Analytics A Beginner's Guide to Data Literacy
- Understanding the Processes That Turn Data Into Insights
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 3 h y 22 m
- Versión completa
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General
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Narración:
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Historia
With the world going remote, and data science following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information. Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.
-
-
Great material for starters
- De Amazon Customer en 08-01-22
De: Elizabeth Clarke
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Information Architecture
- For the Web and Beyond
- De: Louis Rosenfeld, Peter Morville, Jorge Arango
- Narrado por: Theodore O'Brien
- Duración: 11 h
- Versión completa
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General
-
Narración:
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Historia
Information architecture (IA) is far more challenging - and necessary - than ever. To guide you through this broad ecosystem, this popular guide - now in its fourth edition - provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.
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-
Well organized and right to the points
- De Jessica en 06-08-23
De: Louis Rosenfeld, y otros
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Deep Learning
- MIT Press Essential Knowledge Series
- De: John D. Kelleher
- Narrado por: Joel Richards
- Duración: 5 h y 49 m
- Versión completa
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General
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Narración:
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Historia
In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.
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Yikes
- De Elliot Blanford en 10-27-19
De: John D. Kelleher
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Fundamentals of Software Architecture
- An Engineering Approach
- De: Mark Richards, Neal Ford
- Narrado por: Benjamin Lange
- Duración: 13 h y 10 m
- Versión completa
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General
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Historia
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
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Helpful but business-centric
- De A.N. en 03-25-21
De: Mark Richards, y otros
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Artificial Intelligence in Practice
- How 50 Successful Companies Used AI and Machine Learning to Solve Problems
- De: Bernard Marr, Matt Ward - contributor
- Narrado por: Mike Chamberlain
- Duración: 7 h y 2 m
- Versión completa
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General
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Historia
Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
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Nice Consistent Format
- De Steve Hunt en 06-19-19
De: Bernard Marr, y otros
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A Random Walk Down Wall Street, 12th Edition
- The Time Tested Strategy for Successful Investing
- De: Burton G. Malkiel
- Narrado por: George Guidall
- Duración: 11 h y 42 m
- Versión completa
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General
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Historia
At a time of frightening volatility, what is the average investor to do? The answer: Turn to Burton G. Malkiel's advice in his reassuring, authoritative, gimmick-free, and perennially best-selling guide to investing. Long established as the first book to purchase before starting a portfolio or 401(k), A Random Walk Down Wall Street now features new material on "tax-loss harvesting", the crown jewel of tax management; the current bitcoin bubble; and automated investment advisers; as well as a brand-new chapter on factor investing and risk parity.
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Why no pdf of charts???
- De P. Kastenholz en 06-27-19
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Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- De: Martin Kleppmann
- Narrado por: Benjamin Lange
- Duración: 20 h y 56 m
- Versión completa
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General
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Historia
Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
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Must read for senior+ software engineers
- De Navid v en 05-29-21
De: Martin Kleppmann
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Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
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General
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Historia
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
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Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
Lo que los oyentes dicen sobre Data Mining Techniques, Third Edition
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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- Z
- 10-25-22
Barry’s Reading is Everything
This voice actor is such an excellent voice for education. He reminds me of LeVar Burton: he turns this textbook into an engaging story. Own this book twice, but had to get the audio version: having Barry read it is so much easier.
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- Tom
- 12-15-19
Wow. Very long, very good, and great value!
35 hours long- that’s not a typo. This could have been 5 audio books, and some authors do it that way. All of them would have been worth listening to. This covered so many topics from intro to crazy advanced. Consider this book equivalent to a graduate class. I just bought a used hard copy of this book because I missed all the “in the diagram/chart below” etc. Also, unlike most audiobooks, the chapters actually have titles so you can use that to skip to just the parts you need (or listen to the just the lessons learned, which are the chapter summaries). In such a long book this was great to have. I’ll need to go through this a second time for sure along with the hard copy once my brain heals a bit.
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