[PDF] Membangun Aplikasi Web Data Analysis Dengan Framework Django - eBooks Review

Membangun Aplikasi Web Data Analysis Dengan Framework Django


Membangun Aplikasi Web Data Analysis Dengan Framework Django
DOWNLOAD

Download Membangun Aplikasi Web Data Analysis Dengan Framework Django PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Membangun Aplikasi Web Data Analysis Dengan Framework Django book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Membangun Aplikasi Web Data Analysis Dengan Framework Django


Membangun Aplikasi Web Data Analysis Dengan Framework Django
DOWNLOAD
Author : Hary Cahyono
language : id
Publisher: Hary Cahyono
Release Date : 2019-09-16

Membangun Aplikasi Web Data Analysis Dengan Framework Django written by Hary Cahyono and has been published by Hary Cahyono this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-16 with Technology & Engineering categories.


Panduan framework django yang komprehensif disertai studi kasus untuk keperluan data analysis dengan pustaka Matplotlib, Numpy, Pandas, Wordcloud, NetworkX, gmplot, ScikitLearn, dan masih banyak lagi serta integrasinya dengan bahasa R, OpenCV, Gunicorn, dan web service Nginx di Linux.



Deploy Machine Learning Models To Production


Deploy Machine Learning Models To Production
DOWNLOAD
Author : Pramod Singh
language : en
Publisher: Apress
Release Date : 2020-12-15

Deploy Machine Learning Models To Production written by Pramod Singh and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-15 with Computers categories.


Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on the machine learning model deployment process and its related challenges. Next, it covers the process of building and deploying machine learning models using different web frameworks such as Flask and Streamlit. A chapter on Docker follows and covers how to package and containerize machine learning models. The book also illustrates how to build and train machine learning and deep learning models at scale using Kubernetes. The book is a good starting point for people who want to move to the next level of machine learning by taking pre-built models and deploying them into production. It also offers guidance to those who want to move beyond Jupyter notebooks to training models at scale on cloud environments. All the code presented in the book is available in the form of Python scripts for you to try the examples and extend them in interesting ways. What You Will Learn Build, train, and deploy machine learning models at scale using Kubernetes Containerize any kind of machine learning model and run it on any platform using Docker Deploy machine learning and deep learning models using Flask and Streamlit frameworks Who This Book Is For Data engineers, data scientists, analysts, and machine learning and deep learning engineers



Building Chatbots With Python


Building Chatbots With Python
DOWNLOAD
Author : Sumit Raj
language : en
Publisher: Apress
Release Date : 2018-12-12

Building Chatbots With Python written by Sumit Raj and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-12 with Computers categories.


Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you. The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment. The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learnto predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS. What You Will Learn Gain the basics of natural language processing using Python Collect data and train your data for the chatbot Build your chatbot from scratch as a web app Integrate your chatbots with Facebook, Slack, and Telegram Deploy chatbots on your own server Who This Book Is For Intermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.



The Elements Of Uml Tm 2 0 Style


The Elements Of Uml Tm 2 0 Style
DOWNLOAD
Author : Scott W. Ambler
language : en
Publisher: Cambridge University Press
Release Date : 2005-05-09

The Elements Of Uml Tm 2 0 Style written by Scott W. Ambler and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-09 with Computers categories.


Concise and easy-to-understand guidelines and standards for creating UML 2.0 diagrams.



Beginning Cakephp


Beginning Cakephp
DOWNLOAD
Author : David Golding
language : en
Publisher: Apress
Release Date : 2008-09-02

Beginning Cakephp written by David Golding and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-02 with Computers categories.


CakePHP is a leading PHP–based web app development framework. When asking a question on forums or chat rooms, many CakePHP beginners get little help from the experts. Simple questions can get a response like, “Well, just read the online manual and API.” Unfortunately, the online manual is depreciated, and who wants to absorb a programming language or framework from an API? Beginning CakePHP will do the following: Lead you from a basic setup of CakePHP to building a couple applications that will highlight CakePHP’s functionality and capabilities without delving too deeply into the PHP language, but rather what the CakePHP framework can offer the developer. Teach you to use CakePHP by incorporating advanced features into your web development projects. Target beginners of CakePHP or web frameworks in general as well as experienced developers with limited exposure to CakePHP. A secondary audience may include developers undecided on adopting CakePHP or business managers trying to assess the value of incorporating CakePHP into their toolbox.



Virtual Learning Environments


Virtual Learning Environments
DOWNLOAD
Author : Martin Weller
language : en
Publisher: Routledge
Release Date : 2007-05

Virtual Learning Environments written by Martin Weller and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05 with Computers categories.


Full with case studies and advice, this book examines how virtual learning environments can be successfully deployed for effective teaching.



Professional Codeigniter


Professional Codeigniter
DOWNLOAD
Author : Thomas Myer
language : en
Publisher: John Wiley & Sons
Release Date : 2008-07-10

Professional Codeigniter written by Thomas Myer 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 2008-07-10 with Computers categories.


If you’re a PHP developer, you can build Rails-like applications without learning a new language by following the hands-on tutorials in Professional CodeIgniter. In this book, find an overview of MVC and agile technologies, model and schema for products, helpers and libraries, Ajax and Scriptaculous, and explanations of the creation of applications like content management, blogs, and forums. Follow the step-by-step instructions for building and perfecting each application with CodeIgniter, and you will learn how to avoid everyday problems that other reference manuals don’t address.



The Definitive Guide To Symfony


The Definitive Guide To Symfony
DOWNLOAD
Author : Francois Zaninotto
language : en
Publisher: Apress
Release Date : 2007-04-01

The Definitive Guide To Symfony written by Francois Zaninotto and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-01 with Computers categories.


This book, authored by project and documentation leads Fabien Potencier and François Zaninotto, serves as a complete guide to all aspects of Symfony. Readers are guided through fundamental concepts such as installation, configuration, and security, followed by thorough discussion of advanced concepts such as scaffolding, routing, caching, and internationalization. Bundled with numerous tools for helping document, debug, and test your applications, and developed in a manner encouraging agile development principles, Symfony is sparking the imagination of thousands of developers around the globe.



The Climate In Historical Times


The Climate In Historical Times
DOWNLOAD
Author : Hubertus Fischer
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

The Climate In Historical Times written by Hubertus Fischer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Science categories.


An Introduction to the KIHZ Project The description of the climate system and the quantification of its natural variability and dynamics is essential to assess an ongoing anthropogenic cli mate change and to validate climate and biogeochemical models to allow for reliable projections into the future. Because the spatio-temporal coverage of direct meteorological observations is rather limited, high-resolution and ab solutely dated climate archives represent the only key to a quantification of seasonal to millenial climate variations in the past. Furthermore, climate mod els provide insights into the major processes and causes relevant for climate variability on these time scales. Both approaches represent one side of the same medal, however melting both sides down to one combined effort is often hampered by obstacles defined by the different nature of the approaches. For instance, General Circulation Models (GCMs) per se deal with spatially resolved data representing real climate variables in the model world (such as temperature or precipitation) with each model run reflecting one possible realization of climate history under given boundary conditions. In contrast, the records of natural climate archives are influenced by climate variations as they took place in reality, however, are often representative of local climate conditions only. Moreover, the climate information deduced from natural archives is in nearly all cases based on climate proxies, whose relationship to real climate variables, the so called transfer function, has to be established beforehand.



Introduction To Machine Learning With Python


Introduction To Machine Learning With Python
DOWNLOAD
Author : Andreas C. Müller
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-09-26

Introduction To Machine Learning With Python written by Andreas C. Müller 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 2016-09-26 with Computers categories.


Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you’ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills