F-Growth. Gamification, virality and monetization - 7 Angebote vergleichen
Bester Preis: € 6,09 (vom 05.07.2016)1
Reality Softener
EN NW EBISBN: 9781311607058 bzw. 1311607056, in Englisch, Ilya Osipov, neu, E-Book.
Lieferung aus: Niederlande, Direct beschikbaar.
bol.com.
What do you think about the startup able to influence the design the world? A little tweak the many-worlds interpretation of the world, for your benefit? "...Then Edward asked: - Have you tried to press the button? - Sure I have. - So how come you are not the most famous and richest guy in the world? Sergey hesitated slightly. - Well, it’s hard to explain. Actually, I am rich, famous and very successful. But not in this reality. - In which one? - In mine. - And now you are in whose reality?..."Taal: Engels;Formaat: ePub met kopieerbeveiliging (DRM) van Adobe;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;Geschikt voor: Alle e-readers geschikt voor ebooks in ePub formaat. Tablet of smartphone voorzien van een app zoals de bol.com Kobo app.;ISBN10: 1311607056;ISBN13: 9781311607058; Engelstalig | Ebook.
bol.com.
What do you think about the startup able to influence the design the world? A little tweak the many-worlds interpretation of the world, for your benefit? "...Then Edward asked: - Have you tried to press the button? - Sure I have. - So how come you are not the most famous and richest guy in the world? Sergey hesitated slightly. - Well, it’s hard to explain. Actually, I am rich, famous and very successful. But not in this reality. - In which one? - In mine. - And now you are in whose reality?..."Taal: Engels;Formaat: ePub met kopieerbeveiliging (DRM) van Adobe;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;Geschikt voor: Alle e-readers geschikt voor ebooks in ePub formaat. Tablet of smartphone voorzien van een app zoals de bol.com Kobo app.;ISBN10: 1311607056;ISBN13: 9781311607058; Engelstalig | Ebook.
2
F-Growth. Gamification, virality and monetization (2015)
EN NW EB DLISBN: 9781310775796 bzw. 1310775796, in Englisch, Smashwords Edition, Smashwords Edition, Smashwords Edition, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, in-stock.
The book describes gamification, virality and retention in the freemium educational online platform. Relationships between virality and retention parameters as measurable metrics are calculated and discussed using real examples. The F-growth factor, which combines both virality and retention, is proposed as the metrics of the overall freemium system performance in terms of the user base growth. This approach can be tested using a small number of users to assess the system potential performance. If the F-growth factor is less than one, the product needs further development. If the F-growth factor it is greater than one, the system retains existing and attracts new users, thus a large scale market launch can be successful. The book also describes the experiments to attract active online system users to the partner program. The objective is to grow the number of users by involving existing system users in viral mechanics. Several examples of user motivation are given, along with the specific interface implementations and viral mechanics. Viral K-factor was used as the metrics for the resulting system growth assessment. Specific examples show both positive and negative outcomes. Growth of the target system parameters is discussed. The behavior of users as a result of introducing monetization. Monetization resulted in alternative system growth mechanisms, causing viral increase in the number of users. Given several options, the users choose the most advantageous and simple ones for them. Viral growth and monetization can be both competing and complementary mechanisms for the system growth.
The book describes gamification, virality and retention in the freemium educational online platform. Relationships between virality and retention parameters as measurable metrics are calculated and discussed using real examples. The F-growth factor, which combines both virality and retention, is proposed as the metrics of the overall freemium system performance in terms of the user base growth. This approach can be tested using a small number of users to assess the system potential performance. If the F-growth factor is less than one, the product needs further development. If the F-growth factor it is greater than one, the system retains existing and attracts new users, thus a large scale market launch can be successful. The book also describes the experiments to attract active online system users to the partner program. The objective is to grow the number of users by involving existing system users in viral mechanics. Several examples of user motivation are given, along with the specific interface implementations and viral mechanics. Viral K-factor was used as the metrics for the resulting system growth assessment. Specific examples show both positive and negative outcomes. Growth of the target system parameters is discussed. The behavior of users as a result of introducing monetization. Monetization resulted in alternative system growth mechanisms, causing viral increase in the number of users. Given several options, the users choose the most advantageous and simple ones for them. Viral growth and monetization can be both competing and complementary mechanisms for the system growth.
3
Cloud Native Machine Learning: Deploying PyTorch models on AWS Carl Osipov Author
~EN PB NWISBN: 9781617297762 bzw. 1617297763, vermutlich in Englisch, Manning Publications Company, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, plus shipping.
Deploying a machine learning model into a fully realized production system usually requires painstaking work by an operations team creating and managing custom servers. Cloud Native Machine Learning helps you bridge that gap by using the pre-built services provided by cloud platforms like Azure and AWS to assemble your ML system’s infrastructure.Deploying a machine learning model into a fully realized production system usually requires painstaking work by an operations team creating and managing custom servers. Cloud Native Machine Learning helps you bridge that gap by using the pre-built services provided by cloud platforms like Azure and AWS to assemble your ML system’s infrastructure. Cloud Native Machine Learning is a guide to bringing your experimental machine learning code to production using serverless capabilities from major cloud providers. Following a real-world use case for calculating taxi fares, you’ll learn how to get a serverless ML pipeline up and running using AWS services. Clear and detailed tutorials show you how to develop reliable, flexible, and scalable machine learning systems without time-consuming management tasks or the costly overheads of physical hardware. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Deploying a machine learning model into a fully realized production system usually requires painstaking work by an operations team creating and managing custom servers. Cloud Native Machine Learning helps you bridge that gap by using the pre-built services provided by cloud platforms like Azure and AWS to assemble your ML system’s infrastructure.Deploying a machine learning model into a fully realized production system usually requires painstaking work by an operations team creating and managing custom servers. Cloud Native Machine Learning helps you bridge that gap by using the pre-built services provided by cloud platforms like Azure and AWS to assemble your ML system’s infrastructure. Cloud Native Machine Learning is a guide to bringing your experimental machine learning code to production using serverless capabilities from major cloud providers. Following a real-world use case for calculating taxi fares, you’ll learn how to get a serverless ML pipeline up and running using AWS services. Clear and detailed tutorials show you how to develop reliable, flexible, and scalable machine learning systems without time-consuming management tasks or the costly overheads of physical hardware. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
4
F-Growth. Gamification, virality and monetization
EN NW EBISBN: 9781310775796 bzw. 1310775796, in Englisch, Smashwords Edition, neu, E-Book.
Lieferung aus: Niederlande, Direct beschikbaar.
bol.com.
The book describes gamification, virality and retention in the freemium educational online platform. Relationships between virality and retention parameters as measurable metrics are calculated and discussed using real examples. The F-growth factor, which combines both virality and retention, is proposed as the metrics of the overall freemium system performance in terms of the user base growth. This approach can be tested using a small number of users to assess the system potential performance. ... The book describes gamification, virality and retention in the freemium educational online platform. Relationships between virality and retention parameters as measurable metrics are calculated and discussed using real examples. The F-growth factor, which combines both virality and retention, is proposed as the metrics of the overall freemium system performance in terms of the user base growth. This approach can be tested using a small number of users to assess the system potential performance. If the F-growth factor is less than one, the product needs further development. If the F-growth factor it is greater than one, the system retains existing and attracts new users, thus a large scale market launch can be successful. The book also describes the experiments to attract active online system users to the partner program. The objective is to grow the number of users by involving existing system users in viral mechanics. Several examples of user motivation are given, along with the specific interface implementations and viral mechanics. Viral K-factor was used as the metrics for the resulting system growth assessment. Specific examples show both positive and negative outcomes. Growth of the target system parameters is discussed. The behavior of users as a result of introducing monetization. Monetization resulted in alternative system growth mechanisms, causing viral increase in the number of users. Given several options, the users choose the most advantageous and simple ones for them. Viral growth and monetization can be both competing and complementary mechanisms for the system growth.Taal: Engels;Formaat: Epub zonder kopieerbeveiliging (DRM) ;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;ISBN10: 1310775796;ISBN13: 9781310775796; Engelstalig | Ebook.
bol.com.
The book describes gamification, virality and retention in the freemium educational online platform. Relationships between virality and retention parameters as measurable metrics are calculated and discussed using real examples. The F-growth factor, which combines both virality and retention, is proposed as the metrics of the overall freemium system performance in terms of the user base growth. This approach can be tested using a small number of users to assess the system potential performance. ... The book describes gamification, virality and retention in the freemium educational online platform. Relationships between virality and retention parameters as measurable metrics are calculated and discussed using real examples. The F-growth factor, which combines both virality and retention, is proposed as the metrics of the overall freemium system performance in terms of the user base growth. This approach can be tested using a small number of users to assess the system potential performance. If the F-growth factor is less than one, the product needs further development. If the F-growth factor it is greater than one, the system retains existing and attracts new users, thus a large scale market launch can be successful. The book also describes the experiments to attract active online system users to the partner program. The objective is to grow the number of users by involving existing system users in viral mechanics. Several examples of user motivation are given, along with the specific interface implementations and viral mechanics. Viral K-factor was used as the metrics for the resulting system growth assessment. Specific examples show both positive and negative outcomes. Growth of the target system parameters is discussed. The behavior of users as a result of introducing monetization. Monetization resulted in alternative system growth mechanisms, causing viral increase in the number of users. Given several options, the users choose the most advantageous and simple ones for them. Viral growth and monetization can be both competing and complementary mechanisms for the system growth.Taal: Engels;Formaat: Epub zonder kopieerbeveiliging (DRM) ;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;ISBN10: 1310775796;ISBN13: 9781310775796; Engelstalig | Ebook.
5
F-Growth. Gamification, virality and monetization (2015)
EN NW EBISBN: 9781310775796 bzw. 1310775796, in Englisch, Smashwords Edition, neu, E-Book.
Lieferung aus: Niederlande, Direct beschikbaar.
bol.com.
The book describes gamification, virality and retention in the freemium educational online platform. Relationships between virality and retention parameters as measurable metrics are calculated and discussed using real examples. The F-growth factor, which combines both virality and retention, is proposed as the metrics of the overall freemium system performance in terms of the user base growth. This approach can be tested using a small number of users to assess the system potential performance. ... The book describes gamification, virality and retention in the freemium educational online platform. Relationships between virality and retention parameters as measurable metrics are calculated and discussed using real examples. The F-growth factor, which combines both virality and retention, is proposed as the metrics of the overall freemium system performance in terms of the user base growth. This approach can be tested using a small number of users to assess the system potential performance. If the F-growth factor is less than one, the product needs further development. If the F-growth factor it is greater than one, the system retains existing and attracts new users, thus a large scale market launch can be successful. The book also describes the experiments to attract active online system users to the partner program. The objective is to grow the number of users by involving existing system users in viral mechanics. Several examples of user motivation are given, along with the specific interface implementations and viral mechanics. Viral K-factor was used as the metrics for the resulting system growth assessment. Specific examples show both positive and negative outcomes. Growth of the target system parameters is discussed. The behavior of users as a result of introducing monetization. Monetization resulted in alternative system growth mechanisms, causing viral increase in the number of users. Given several options, the users choose the most advantageous and simple ones for them. Viral growth and monetization can be both competing and complementary mechanisms for the system growth. Productinformatie:Taal: Engels;Formaat: Epub zonder kopieerbeveiliging (DRM) ;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;ISBN10: 1310775796;ISBN13: 9781310775796; Engels | Ebook | 2015.
bol.com.
The book describes gamification, virality and retention in the freemium educational online platform. Relationships between virality and retention parameters as measurable metrics are calculated and discussed using real examples. The F-growth factor, which combines both virality and retention, is proposed as the metrics of the overall freemium system performance in terms of the user base growth. This approach can be tested using a small number of users to assess the system potential performance. ... The book describes gamification, virality and retention in the freemium educational online platform. Relationships between virality and retention parameters as measurable metrics are calculated and discussed using real examples. The F-growth factor, which combines both virality and retention, is proposed as the metrics of the overall freemium system performance in terms of the user base growth. This approach can be tested using a small number of users to assess the system potential performance. If the F-growth factor is less than one, the product needs further development. If the F-growth factor it is greater than one, the system retains existing and attracts new users, thus a large scale market launch can be successful. The book also describes the experiments to attract active online system users to the partner program. The objective is to grow the number of users by involving existing system users in viral mechanics. Several examples of user motivation are given, along with the specific interface implementations and viral mechanics. Viral K-factor was used as the metrics for the resulting system growth assessment. Specific examples show both positive and negative outcomes. Growth of the target system parameters is discussed. The behavior of users as a result of introducing monetization. Monetization resulted in alternative system growth mechanisms, causing viral increase in the number of users. Given several options, the users choose the most advantageous and simple ones for them. Viral growth and monetization can be both competing and complementary mechanisms for the system growth. Productinformatie:Taal: Engels;Formaat: Epub zonder kopieerbeveiliging (DRM) ;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;ISBN10: 1310775796;ISBN13: 9781310775796; Engels | Ebook | 2015.
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