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Machine, Platform, Crowd: Harnessing Our Digital Future

Machine, Platform, Crowd: Harnessing Our Digital Future

Autor: Andrew Mcafee , Erik Brynjolfsson

Número de Páginas: 288

“A clear and crisply written account of machine intelligence, big data and the sharing economy. But McAfee and Brynjolfsson also wisely acknowledge the limitations of their futurology and avoid over-simplification.” —Financial Times In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help readers make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

Summary of Andrew McAfee & Erik Brynjolfsson's Machine, Platform, Crowd

Summary of Andrew McAfee & Erik Brynjolfsson's Machine, Platform, Crowd

Autor: Everest Media,

Número de Páginas: 31

Please note: This is a companion version & not the original book. Sample Book Insights: #1 Go is a strategy game developed in China about 2,500 years ago. It is difficult to play well, and no luck is involved. It is considered a more difficult game than chess. #2 Go players use a group of heuristics to navigate the absurd complexity of the game. They are unable to explain how they know what they know, and it is hard to make such tacit knowledge explicit. #3 A computer was able to win a five-game match against the European Go champion in 2015, and many analysts and commentators called this a breakthrough. However, some argued that the magnitude of the achievement was exaggerated. #4 The games between Sedol and AlphaGo attracted intense interest throughout Korea and other East Asian countries. AlphaGo won the first three games, ensuring itself of victory overall in the best-of-five match. But Sedol came back to win the fourth game.

Machine, Platform, Crowd

Machine, Platform, Crowd

Autor: Andrew Mcafee , Erik Brynjolfsson

Número de Páginas: 432

Digitale Maschinen wie selbstfahrende Autos, Drohnen oder 3D-Drucker sind jetzt schon schlauer, besser und schneller, als man es je für möglich gehalten hätte. Onlineplattformen ändern das Verhältnis von Angebot und Nachfrage und bringen neue Marktführer hervor – in der Musikindustrie, beim Personentransport, bei Computerhardware oder beim Fitnesstraining. Crowds haben bereits Betriebssysteme und Lexika geschaffen, finanzierten unendlich viele Projekte und haben sogar das Geld neu erfunden. Dieses Buch ist voller Science-Fiction-Technologien, die real geworden sind, und voller Start-ups, die Weltkonzerne wurden. Es zeigt die fundamentalen Prinzipien, die sich hinter all der Innovation und Disruption verbergen und die von intelligenten Organisationen rund um die Welt genutzt werden. Ein Wegweiser von heute für den Weg in die Welt von morgen.

Machine, Platform, Crowd

Machine, Platform, Crowd

Autor: Andrew Mcafee , Erik Brynjolfsson

From the authors of the best-selling The Second Machine Age, a leader’s guide to success in a rapidly changing economy. We live in strange times. A machine plays the strategy game Go better than any human; upstarts like Apple and Google destroy industry stalwarts such as Nokia; ideas from the crowd are repeatedly more innovative than corporate research labs. MIT’s Andrew McAfee and Erik Brynjolfsson know what it takes to master this digital-powered shift: we must rethink the integration of minds and machines, of products and platforms, and of the core and the crowd. In all three cases, the balance now favors the second element of the pair, with massive implications for how we run our companies and live our lives. In the tradition of agenda-setting classics like Clay Christensen’s The Innovator’s Dilemma, McAfee and Brynjolfsson deliver both a penetrating analysis of a new world and a toolkit for thriving in it. For startups and established businesses, or for anyone interested in what the future holds, Machine, Platform, Crowd is essential reading.

Creation of an Accessible Platform Independent User Interface for the QT Machine Vision Prototyping Software

Creation of an Accessible Platform Independent User Interface for the QT Machine Vision Prototyping Software

Autor: John Erik Novak

Número de Páginas: 1000
Machine, Platform, Crowd

Machine, Platform, Crowd

Autor: Andrew Mcafee , Erik Brynjolfsson

“A clear and crisply written account of machine intelligence, big data and the sharing economy. But McAfee and Brynjolfsson also wisely acknowledge the limitations of their futurology and avoid over-simplification.” —Financial Times In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help readers make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

The Manchester Municipal Code: Being a Digest of the Local Acts of Parliament, Charters, Commissions, Orders, Bye-laws, Regulations and Public Instructions and Forms in Force Within the City of Manchester

The Manchester Municipal Code: Being a Digest of the Local Acts of Parliament, Charters, Commissions, Orders, Bye-laws, Regulations and Public Instructions and Forms in Force Within the City of Manchester

Autor: Manchester

Gold Coast, Ashanti and Northern Territories Ordinances

Gold Coast, Ashanti and Northern Territories Ordinances

Autor: Gold Coast

Número de Páginas: 334
A Treatise on Machine-tools, Etc

A Treatise on Machine-tools, Etc

Autor: William Sellers & Co. (philadelphia, Pa.)

Número de Páginas: 582
Specifications and Drawings of Patents Issued from the U.S. Patent Office

Specifications and Drawings of Patents Issued from the U.S. Patent Office

Autor: United States. Patent Office

Número de Páginas: 1252
Documents of the Assembly of the State of New York

Documents of the Assembly of the State of New York

Autor: New York (state). Legislature. Assembly

Número de Páginas: 1476
Manufacturing Science and Technology, ICMST2011

Manufacturing Science and Technology, ICMST2011

Autor: Wu Fan

Número de Páginas: 8340

Volume is indexed by Thomson Reuters CPCI-S (WoS). The objective of ICMST 2011 was to provide a platform where researchers, engineers, academics and industrial professionals from all over the world could present their research results and discuss developments in Manufacturing Science and Technology. This conference provided opportunities for delegates to exchange new ideas and applications face-to-face, to establish business or research contacts and to find global partners for future collaboration.

Building Machine Learning and Deep Learning Models on Google Cloud Platform

Building Machine Learning and Deep Learning Models on Google Cloud Platform

Autor: Ekaba Bisong

Número de Páginas: 703

Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and...

Official Gazette of the United States Patent Office

Official Gazette of the United States Patent Office

Autor: United States. Patent Office

Número de Páginas: 1250
Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry

Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry

Autor: B.l. Liu , Ming Hai Yuan , Guo Rong Chen , Jun Peng

Número de Páginas: 3094

Collection of selected, peer reviewed papers from the 2013 2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization (MEIEI 2013), September 14-15, 2013, Chongqing, China. The 656 papers are grouped as follows: Chapter 1: Applied Mechanics and Advances in Mechanical Engineering; Chapter 2: Industrial Electronics, Measurements, Automation and Control Technology; Chapter 3: Signal and Data Processing, Data Mining, Applied and Computational Mathematics; Chapter 4: Information Technology Applications in Industry and Engineering.

Up and Running Google AutoML and AI Platform: Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment (English Edition)

Up and Running Google AutoML and AI Platform: Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment (English Edition)

Autor: Navin Sabharwal , Amit Agrawal

Número de Páginas: 178

A step-by-step guide to build machine learning and NLP models using Google AutoML KEY FEATURES •Understand the basic concepts of Machine Learning and Natural Language Processing •Understand the basic concepts of Google AutoML, AI Platform, and Tensorflow •Explore the Google AutoML Natural Language service •Understand how to implement NLP models like Issue Categorization Systems using AutoML •Understand how to release the features of AutoML models as REST APIs for other applications •Understand how to implement the NLP models using the Google AI Platform DESCRIPTION Google AutoML and AI Platform provide an innovative way to build an AI-based system with less effort. In this book, you will learn about the basic concepts of Machine Learning and Natural Language Processing. You will also learn about the Google AI services such as AutoML, AI Platform, and Tensorflow, Google’s deep learning library, along with some practical examples using these services in real-life scenarios. You will also learn how the AutoML Natural Language service and AI Platform can be used to build NLP and Machine Learning models and how their features can be released as REST APIs for other...

Practical Java Machine Learning

Practical Java Machine Learning

Autor: Mark Wickham

Número de Páginas: 410

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your data including JSON, visualization, NoSQL databases, and cloud platforms including Google Cloud Platform and Amazon Web Services. Practical Java Machine Learning includes multiple projects, with particular focus on the Android mobile platform and features such as sensors, camera, and connectivity, each of which produce data that can power unique machine learning solutions. You will learn to build a variety of applications that demonstrate the capabilities of the Google Cloud Platform machine learning API, including data visualization for Java; document classification using the Weka ML environment; audio file classification for Android using ML with spectrogram voice data; and machine learning using device sensor data. After reading this book, you will come away with case study...

Proceedings of the International Machine Tool Design and Research Conference

Proceedings of the International Machine Tool Design and Research Conference

Autor: Stephen Albert Tobias

Número de Páginas: 600
Machine Learning with Dynamics 365 and Power Platform

Machine Learning with Dynamics 365 and Power Platform

Autor: Aurelien Clere , Vinnie Bansal

Número de Páginas: 247

Apply cutting-edge AI techniques to your Dynamics 365 environment to create new solutions to old business problems In Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics, an accomplished team of digital and data analytics experts delivers a practical and comprehensive discussion of how to integrate AI Builder with Dataverse and Dynamics 365 to create real-world business solutions. It also walks you through how to build powerful machine learning models using Azure Data Lake, Databricks, Azure Synapse Analytics. The book is filled with clear explanations, visualizations, and working examples that get you up and running in your development of supervised, unsupervised, and reinforcement learning techniques using Microsoft machine learning tools and technologies. These strategies will transform your business verticals, reducing costs and manual processes in finance and operations, retail, telecommunications, and manufacturing industries. The authors demonstrate: What machine learning is all about and how it can be applied to your organization's Dynamics 365 and Power Platform Projects The creation and management of environments for...

Hands-On Machine Learning on Google Cloud Platform

Hands-On Machine Learning on Google Cloud Platform

Autor: Giuseppe Ciaburro , V Kishore Ayyadevara , Alexis Perrier

Número de Páginas: 500

Unleash Google's Cloud Platform to build, train and optimize machine learning models Key Features Get well versed in GCP pre-existing services to build your own smart models A comprehensive guide covering aspects from data processing, analyzing to building and training ML models A practical approach to produce your trained ML models and port them to your mobile for easy access Book Description Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also host them in the cloud to make predictions. This book is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to create powerful machine learning based applications for a wide variety of problems by leveraging different data services from the Google Cloud Platform. Applications include NLP, Speech to text, Reinforcement learning, Time series, recommender systems, image classification, video content inference and many other. We will implement a wide...

Mastering Enterprise JavaBeans and the Java 2 Platform, Enterprise Edition

Mastering Enterprise JavaBeans and the Java 2 Platform, Enterprise Edition

Autor: Ed Roman

Número de Páginas: 806

A guide to server-side application development showcases the strengths of Enterprise JavaBeans while demonstrating the coding of transactional, scalable, and secure multi-user applications

Scientific Canadian Mechanics' Magazine and Patent Office Record

Scientific Canadian Mechanics' Magazine and Patent Office Record

Autor: Canada. Patent Office

Número de Páginas: 1454
Bulletin [English Ed] [New Series]

Bulletin [English Ed] [New Series]

Autor: International Railway Congress Association

Número de Páginas: 908

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