Notes From The Startup Wilderness Discovery Engines Big Data Mining Social Commerce And Other Trends In Today S Startups


Notes From The Startup Wilderness Discovery Engines Big Data Mining Social Commerce And Other Trends In Today S Startups
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Notes From The Startup Wilderness Discovery Engines Big Data Mining Social Commerce And Other Trends In Today S Startups


Notes From The Startup Wilderness Discovery Engines Big Data Mining Social Commerce And Other Trends In Today S Startups
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Author : Semil Shah
language : en
Publisher: Hyperink Inc
Release Date : 2012-07-25

Notes From The Startup Wilderness Discovery Engines Big Data Mining Social Commerce And Other Trends In Today S Startups written by Semil Shah and has been published by Hyperink Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-25 with Business & Economics categories.


Many years ago, after graduating college, I came home before moving to NYC, wondering how I would scrounge together the money for the first month’s rent and security deposit so my friends and I could all live together in the Big Apple. I had one month to get the cash, and instead of going out for traditional, hourly-wage work, I decided to go through all of my old stuff and throw it on eBay. In those days, I got online through dial-up, would have to mail a hard copy of the pictures to interested buyers, and would ship items to auction winners only when their check arrived by mail and cleared into my bank account. In one month, I got rid of winter jackets, sports equipment, and baseball cards to the tune of $7,000, tax free, enough to buffer the move to NYC.



The Startup Owner S Manual


The Startup Owner S Manual
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Author : Steve Blank
language : en
Publisher: John Wiley & Sons
Release Date : 2020-03-17

The Startup Owner S Manual written by Steve Blank and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-17 with Business & Economics categories.


More than 100,000 entrepreneurs rely on this book. The National Science Foundation pays hundreds of startup teams each year to follow the process outlined in the book, and it's taught at Stanford, Berkeley, Columbia and more than 100 other leading universities worldwide. Why? The Startup Owner's Manual guides you, step-by-step, as you put the Customer Development process to work. This method was created by renowned Silicon Valley startup expert Steve Blank, co-creator with Eric Ries of the "Lean Startup" movement and tested and refined by him for more than a decade. This 608-page how-to guide includes over 100 charts, graphs, and diagrams, plus 77 valuable checklists that guide you as you drive your company toward profitability. It will help you: Avoid the 9 deadly sins that destroy startups' chances for success Use the Customer Development method to bring your business idea to life Incorporate the Business Model Canvas as the organizing principle for startup hypotheses Identify your customers and determine how to "get, keep and grow" customers profitably Compute how you'll drive your startup to repeatable, scalable profits. The Startup Owners Manual was originally published by K&S Ranch Publishing Inc. and is now available from Wiley. The cover, design, and content are the same as the prior release and should not be considered a new or updated product.



Digital Entrepreneurship


Digital Entrepreneurship
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Author : Mariusz Soltanifar
language : en
Publisher: Springer Nature
Release Date : 2020-11-13

Digital Entrepreneurship written by Mariusz Soltanifar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with Business & Economics categories.


This open access book explores the global challenges and experiences related to digital entrepreneurial activities, using carefully selected examples from leading companies and economies that shape world business today and tomorrow. Digital entrepreneurship and the companies steering it have an enormous global impact; they promise to transform the business world and change the way we communicate with each other. These companies use digitalization and artificial intelligence to enhance the quality of decisions and augment their business and customer operations. This book demonstrates how cloud services are continuing to evolve; how cryptocurrencies are traded in the banking industry; how platforms are created to commercialize business, and how, taken together, these developments provide new opportunities in the digitalized era. Further, it discusses a wide range of digital factors changing the way businesses operate, including artificial intelligence, chatbots, voice search, augmented and virtual reality, as well as cyber threats and data privacy management. “Digitalization mirrors the Industrial Revolution’s impact. This book provides a complement of perspectives on the opportunities emanating from such a deep seated change in our economy. It is a comprehensive collection of thought leadership mapped into a very useful framework. Scholars, digital entrepreneurs and practitioners will benefit from this timely work.” Gina O’Connor, Professor of Innovation Management at Babson College, USA “This book defines and delineates the requirements for companies to enable their businesses to succeed in a post-COVID19 world. This book deftly examines how to accomplish and achieve digital entrepreneurship by leveraging cloud computing, AI, IoT and other critical technologies. This is truly a unique “must-read” book because it goes beyond theory and provides practical examples.” Charlie Isaacs, CTO of Customer Connection at Salesforce.com, USA "This book provides digital entrepreneurs useful guidance identifying, validating and building their venture. The international authors developed new perspectives on digital entrepreneurship that can support to create impact ventures.” Felix Staeritz, CEO FoundersLane, Member of the World Economic Forum Digital Leaders Board and bestselling author of FightBack, Germany



Bulletin Of The Atomic Scientists


Bulletin Of The Atomic Scientists
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Author :
language : en
Publisher:
Release Date : 1970-06

Bulletin Of The Atomic Scientists written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970-06 with categories.


The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.



Entrepreneurial Finance


Entrepreneurial Finance
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Author : Francesco Ferrati
language : en
Publisher:
Release Date : 2021-04-19

Entrepreneurial Finance written by Francesco Ferrati and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-19 with categories.


Entrepreneurial Finance: Emerging Approaches Using Machine Learning and Big Data presents a comprehensive overview of the applications of machine learning algorithms to the Crunchbase database. The authors highlight the main research goals that can be addressed and review all the variables and algorithms used for each goal. For each machine learning algorithm, the authors analyze the respective performance metrics to identify a baseline model. This study aims to be a reference for researchers and practitioners on the use of machine learning as an effective tool to support decision-making processes in equity investments. Section 2 provides an introduction to machine learning and outlines the main differences from a traditional statistical approach. Section 3 provides an overview of the venture capital firms that have already applied a data-driven approach to their investment decision-making. Section 4 is an introduction to Crunchbase, one of the most relevant databases on startup companies and investors. Section 5 describes the scope of this study, focusing on research contributions that have applied machine learning techniques to Crunchbase data. Section 6 classifies the studies' research goals and describes the various machine learning approaches. Section 7 describes an example of how the models proposed by previous studies could be integrated synergistically into investor decision-making. Section 8 synthesizes all the features or variables used, which are obtained either directly from Crunchbase or through a features engineering process. Section 9 analyses the algorithms used. Section 10 discusses the results obtained in previous research in order to establish a baseline for future research in this field. Finally, section 11 presents a final discussion of the applicability of machine learning as a tool for data-driven investments, while conclusions and future developments are presented in section 12.



Mining The Social Web


Mining The Social Web
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Author : Matthew Russell
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-01-21

Mining The Social Web written by Matthew Russell and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-21 with Computers categories.


Provides information on data analysis from a vareity of social networking sites, including Facebook, Twitter, and LinkedIn.



Big Data In Practice


Big Data In Practice
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Author : Bernard Marr
language : en
Publisher: John Wiley & Sons
Release Date : 2016-03-22

Big Data In Practice written by Bernard Marr and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-22 with Business & Economics categories.


The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter



Weapons Of Math Destruction


Weapons Of Math Destruction
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Author : Cathy O'Neil
language : en
Publisher: Crown Publishing Group (NY)
Release Date : 2016

Weapons Of Math Destruction written by Cathy O'Neil and has been published by Crown Publishing Group (NY) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Business & Economics categories.


"A former Wall Street quantitative analyst sounds an alarm on mathematical modeling, a pervasive new force in society that threatens to undermine democracy and widen inequality,"--NoveList.



The Data Science Design Manual


The Data Science Design Manual
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Author : Steven S. Skiena
language : en
Publisher: Springer
Release Date : 2017-07-01

The Data Science Design Manual written by Steven S. Skiena and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-01 with Computers categories.


This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)



Tech Mining


Tech Mining
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Author : Alan L. Porter
language : en
Publisher: John Wiley & Sons
Release Date : 2004-11-26

Tech Mining written by Alan L. Porter and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-26 with Technology & Engineering categories.


Tech Mining makes exploitation of text databases meaningful tothose who can gain from derived knowledge about emergingtechnologies. It begins with the premise that we have theinformation, the tools to exploit it, and the need for theresulting knowledge. The information provided puts new capabilities at the hands oftechnology managers. Using the material present, these managers canidentify and access the most valuable technology informationresources (publications, patents, etc.); search, retrieve, andclean the information on topics of interest; and lower the costsand enhance the benefits of competitive technological intelligenceoperations.