AI News, Machine Learning as a Service

Machine Learning as a Service

this workshop, one would learn how to build a seamless end-to-end data driven application – Starting from data ingestion, data exploration, creating a simple machine learning model, exposing the output as a RESTful API and deploying the dashboard as a web application – to solve a business problem. Course

“Jack of all trades, master of none, though oft times better than master of one” One of the common pain points that we have come across in organizations is the last-mile delivery of data science applications.

In this workshop, one would learn how to build a seamless end-to-end data driven application – Starting from data ingestion, data exploration, creating a simple machine learning model, exposing the output as a RESTful API and deploying the dashboard as a web application – to solve a business problem.

Ramesh Sampath | Build Data Apps by Deploying ML Models as API Services

PyData SF 2016 Ramesh Sampath | Build Data Apps by Deploying ML Models as API Services As data scientists, we love building models using IPython ...

Model Management and Deployment in Watson Studio

Build models that learn over time with Watson Machine Learning and Watson Studio. ibm.com/cloud/watson-studio We hear from many clients that one of the ...

Data Science & Machine Learning -Creating a Shiny App- DIY- 43 -of-50

Data Science & Machine Learning -Creating a Shiny App- DIY- 43 -of-50 Do it yourself Tutorial by Bharati DW Consultancy cell: +1-562-646-6746 (Cell ...

IBM Watson Machine Learning: Continuous Learning on Watson Data Platform

This video shows you how to build models that learn over time with Watson Machine Learning and Data Science Experience allowing data scientists and ...

IBM Watson Studio: Create and Share a Business Analytics Dashboard

In this video, you'll see how to create and share a business analytics dashboard in Watson Studio. This examples uses a CSV file containing information about ...

Dashboards with R | Interactive Data Visualization including Plots, Data Tables and Pivot Charts

Interactive Dashboards with multiple pages in R. Data File: R Markdown File: Includes, - Interactive plots - Interactive .

useR! International R User 2017 Conference Developing and deploying large scale Shiny applications f

Interactive Visualization of Machine Learning and Computer Vision with Dash by Xing Han

With the rise of advanced Neural Networks, Computer Vision and Machine Learning have become more and more useful, with novel and diverse applications.

Deploy Your R Scripts Using Microsoft R Server

Deploying Your First Web Service Article: Feel free to comment below with any feedback or questions! Thanks for watching

Deploy Keras neural network to Flask web service | Part 4 - Build a front end web application

Here, we'll be building a front end web application with HTML and Javascript to interact with a Flask web service. In the last video, we built the backend of our ...