Monetizing Machine Learning (Paperback)
Idioma: inglés
Editorial: APress, Berkley, 2018
- Primera edición
- Tapa blanda
- Nuevo
Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Vendedor de IberLibro desde 22 de junio de 2007
Condición: Nuevo
EUR 113,37
Cantidad disponible: 1 disponible
Añadir al carritoDescripción del artículo del vendedor
Paperback. Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this bookAmazon, Microsoft, Google, and PythonAnywhere. You will work through a series of common Python data science problems in an increasing order of complexity. The practical projects presented in this book are simple, clear, and can be used as templates to jump-start many other types of projects. You will learn to create a web application around numerical or categorical predictions, understand the analysis of text, create powerful and interactive presentations, serve restricted access to data, and leverage web plugins to accept credit card payments and donations. You will get your projects into the hands of the world in no time.Each chapter follows three steps: modeling the right way, designing and developing a local web application, and deploying onto a popular and reliable serverless cloud provider. You can easily jump to or skip particular topics in the book. You also will have access to Jupyter notebooks and code repositories for complete versions of the code covered in the book.What Youll LearnExtend your machine learning models using simple techniques to create compelling and interactive web dashboardsLeverage the Flask web framework for rapid prototyping of your Python models and ideasCreate dynamic content powered by regression coefficients, logistic regressions, gradient boosting machines, Bayesian classifications, and moreHarness the power of TensorFlow by exporting saved models into web applicationsCreate rich web dashboards to handle complex real-time user input with JavaScript and Ajax to yield interactive and tailored contentCreate dashboards with paywalls to offer subscription-based accessAccess API data such as Google Maps,OpenWeather, etc.Apply different approaches to make sense of text data and return customized intelligenceBuild an intuitive and useful recommendation site to add value to users and entice them to keep coming backUtilize the freemium offerings of Google Analytics and analyze the resultsTake your ideas all the way to your customer's plate using the top serverless cloud providersWho This Book Is ForThose with some programming experience with Python, code editing, and access to an interpreter in working order. The book is geared toward entrepreneurs who want to get their ideas onto the web without breaking the bank, small companies without an IT staff, students wanting exposure and training, and for all data science professionals ready to take things to the next level. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
N° de ref. del artículo 9781484238721
- Título
- Monetizing Machine Learning (Paperback)
- Autor
- Manuel Amunategui
- Editorial
- APress, Berkley
- Año de publicación
- 2018
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 1484238729
- ISBN 13
- 9781484238721
- Edición
- 1ª Edición
Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book―Amazon, Microsoft, Google, and PythonAnywhere.
You will work through a series of common Python data science problems in an increasing order of complexity. The practical projects presented in this book are simple, clear, and can be used as templates to jump-start many other types of projects. You will learn to create a web application around numerical or categorical predictions, understand the analysis of text, create powerful and interactive presentations, serve restricted access to data, and leverage web plugins to accept credit card payments and donations. You will get your projects into the hands of the world in no time.
Each chapter follows three steps: modeling the right way, designing and developing a local web application, and deploying onto a popular and reliable serverless cloud provider. You can easily jump to or skip particular topics in the book. You also will have access to Jupyter notebooks and code repositories for complete versions of the code covered in the book.
What You’ll Learn
- Extend your machine learning models using simple techniques to create compelling and interactive web dashboards
- Leverage the Flask web framework for rapid prototyping of your Python models and ideas
- Create dynamic content powered by regression coefficients, logistic regressions, gradient boosting machines, Bayesian classifications, and more
- Harness the power of TensorFlow by exporting saved models into web applications
- Create rich web dashboards to handle complex real-time user input with JavaScript and Ajax to yield interactive and tailored content
- Create dashboards with paywalls to offer subscription-based access
- Access API data such as Google Maps, OpenWeather, etc.
- Apply different approaches to make sense of text data and return customized intelligence
- Build an intuitive and useful recommendation site to add value to users and entice them to keep coming back
- Utilize the freemium offerings of Google Analytics and analyze the results
- Take your ideas all the way to your customer's plate using the top serverless cloud providers
Who This Book Is For
Those with some programming experience with Python, code editing, and access to an interpreter in working order. The book is geared toward entrepreneurs who want to get their ideas onto the web without breaking the bank, small companies without an IT staff, students wanting exposure and training, and for all data science professionals ready to take things to the next level.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Manuel Amunategui has decades of professional experience in programming, data science, and creating end-to-end solutions for customers in various industries. He sees informational and educational gaps in the industry. He has been fortunate to work with software at Microsoft, in finance on Wall Street, in research at one of the largest health systems in the US, and now as VP of Data Science at SpringML, a Google Cloud and Salesforce preferred partner. He understands what it takes to start new careers and new businesses.
Since 2013, he has been advocating for data science through blogs, vlogs, and educational material. He has grown and curated various highly focused and niche social media channels, including a YouTube channel with 60 videos and 350k views and a very popular applied data science blog. His teaching perspective is about welcoming any new comer with a desire to learn, creating material to quickly overcome learning curves, and demonstrating through clear narrative and practical examples that it is never as hard as most people think.Mehdi Roopaei, PhD, is a postdoctoral fellow at Open Cloud Institute of University of Texas at San Antonio, with a research focus on data-driven decision-making systems. He has 12 years of experience in teaching at the university level, more than 980 citations for peer-reviewed publications, and two published books. His focus is on cloud machine learning, data analytics, and the AI-Thinking platform (proposed at HICSS51).
“Acerca de” puede pertenecer a otra edición de este título.
AussieBookSeller
Truganina, VIC, Australia
Vendedor de IberLibro desde 22 de junio de 2007
Tarifas de envío de Australia a Estados Unidos de America
| Artículo | De 25 a 45 días hábiles | De 8 a 14 días hábiles |
|---|---|---|
| Primer artículo | EUR 33,19 | EUR 39,47 |
Métodos de pago
Información empresarial del vendedor
The Nile Group Pty Ltd
42 Apex Drive
Truganina, VIC Australia 3029
Condiciones de venta
We guarantee the condition of every book as it's described on the Abebooks web sites. If you're dissatisfied with your purchase (Incorrect Book/Not as Described/Damaged) or if the order hasn't arrived, you're eligible for a refund within 30 days of the estimated delivery date. If you've changed your mind about a book that you've ordered, please use the Ask bookseller a question link to contact us and we'll respond within 2 business days.
Derecho al desistimiento
Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona física que actúe con fines ajenos a su actividad comercial, empresarial, oficio o profesión.
Información sobre el derecho de desistimiento
Derecho legal de desistimiento
Tiene derecho a rescindir este contrato en un plazo de 14 días sin dar ningún motivo.
El periodo de desistimiento vencerá a los 14 días desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesión física del último bien o del último lote o pieza.
Para ejercer el derecho de desistimiento, complete de forma electrónica y envíe una declaración clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a través de un soporte duradero (por ejemplo, por correo electrónico).
Para cumplir con el plazo de desistimiento, basta con que envíe su comunicación relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.
Efectos del desistimiento
Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de envío (excepto los gastos adicionales que surjan si elige un tipo de envío que no sea el tipo de envío estándar más económico que ofrecemos).
Podemos hacer una deducción del reembolso por la pérdida de valor de cualquier bien suministrado, si la pérdida es el resultado de una manipulación innecesaria por su parte.
Efectuaremos el reembolso sin demoras indebidas y, a más tardar, 14 días después de que se nos informe de su decisión de rescindir este contrato.
Efectuaremos el reembolso utilizando el mismo medio de pago que utilizó para la transacción inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrirá en ningún cargo como resultado de dicho reembolso.
Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.
Deberá devolver los bienes o entregarlos a AussieBookSeller, Truganina, Victoria, Australia, sin demoras indebidas y, en cualquier caso, en un plazo máximo de 14 días a partir del día en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercancía antes de que venza el periodo de 14 días. Tendrá que asumir los gastos directos de devolución de los bienes. Usted solo es responsable de la disminución del valor de los bienes como resultado de una manipulación distinta a la necesaria para establecer la naturaleza, las características y el funcionamiento de los bienes.
Excepciones al derecho de desistimiento
El derecho de desistimiento no se aplica a lo siguiente:
- La entrega de periódicos, diarios o revistas, con la excepción de los contratos de suscripción; y
- El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, aceptó que podíamos empezar a entregarlo y que no podría desistir una vez iniciada la entrega.
Condiciones de envío
Please note that titles are dispatched from our UK and NZ warehouse. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 8-15 days.