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Analyzing the contextual content of hierarchical data by using IBM Watson Explorer
This tutorial demonstrates how to implement a custom crawler plug-in with IBM Watson Explorer to analyze a hierarchical data structure within the context of content analytics. The strategy outlined here permits the retaining of the hierarchical structure or grains of the model being analyzed.
Also available in: Chinese  
Articles 08 Apr 2018
Build cognitive solutions for industries, Part 4: Enhancing the simplicity and quality of human-computer interactions
Cognitive computing is becoming increasingly important within the enterprise. In this fourth tutorial in a series, we discuss the primary methodologies and patterns used to build cognitive solutions for the telecommunications and media and entertainment industries.
Also available in: Chinese  
Articles 21 Feb 2018
Cleansing, processing, and visualizing a data set, Part 3: Visualizing data
In this tutorial, discover some of the more useful applications for visualizing data and a few of the approaches you can use to create that visualization, including the R programming language, gnuplot, and Graphviz.
Also available in: Chinese  
Articles 17 Jan 2018
Create an artificial neural network using the Neuroph Java framework
Build an artificial neural network (ANN) using the Java language and Neuroph open source framework.
Also available in: Chinese   Spanish  
Articles 08 Jan 2018
Think Big with Decision Composer on IBM Cloud
Learn step-by-step how to deploy a Decision Composer application to the Business Rules service and run it within Hadoop. Access IBM Cloud Lite free.
Articles 05 Dec 2017
Sample code: Analyze text with the Watson Personality Insights service
This code shows you how to use the node.js API for the Watson Personality Insights service. Given some text, Watson analyzes the openness, conscientiousness, extraversion, agreeableness, emotional range, and needs of the speaker.
Also available in: Chinese   Japanese  
Articles 18 Aug 2017
Sample code: Translate natural language with the Watson Language Translator service
This code shows you how to use the Java API for the Watson language translator service. Given some text, a source language, and a target language, Watson translates that text and returns one or more translations to you.
Also available in: Chinese   Japanese  
Articles 18 Aug 2017
Sample code: Identify the tone of written text with the Watson Tone Analyzer service
This code shows you how to use the node.js API for the Watson Tone Analyzer service. Given some text, Watson evaluates the tone, looking for qualities such as the speaker's levels of anger, disgust, joy, fear, and sadness.
Also available in: Chinese   Japanese  
Articles 18 Aug 2017
Sample code: Recognize and identify faces in an image with the Watson Visual Recognition service
This code shows you how to use the node.js API for the Watson Visual Recognition service. Given an image, Watson looks for faces in that image and attempts to recognize each of those faces.
Also available in: Chinese   Japanese  
Articles 17 Aug 2017
Visualize and analyze data in proprietary and public datasets, Part 1: An overview of Watson for Real World Evidence
Get an introduction to IBM Watson for Real World Evidence, a cloud-based interactive Watson Health Life Sciences platform for decision makers, analysts, and data scientists to generate and test hypotheses.
Also available in: Chinese   Japanese  
Articles 10 Aug 2017
Visualize and analyze data in proprietary and public datasets, Part 3: Walk-through of a sample notebook
Get an introduction to IBM Watson for Real World Evidence, a cloud-based interactive Watson Health Life Sciences platform for decision makers, analysts, and data scientists to generate and test hypotheses.
Also available in: Chinese   Japanese  
Articles 10 Aug 2017
Visualize and analyze data in proprietary and public datasets, Part 2: A typical workflow
Get an introduction to IBM Watson for Real World Evidence, a cloud-based interactive Watson Health Life Sciences platform for decision makers, analysts, and data scientists to generate and test hypotheses.
Also available in: Chinese   Japanese  
Articles 10 Aug 2017
Sample code: Translate natural language with the Watson Language Translator service
This code shows you how to use the node.js API for the Watson Language Translator service. Given some text, a source language, and a target language, Watson translates that text and returns one or more translations to you.
Also available in: Chinese   Japanese  
Articles 18 Jul 2017
Sample code: Identify the context of natural language with the Watson Natural Language Classifier service
This code shows you how to use the Java API for the Watson natural language classification service. Given some text and a context, Watson analyzes the text and returns a list of categories relevant to that text.
Also available in: Chinese   Japanese  
Articles 18 Jul 2017
Sample code: Identify the context of natural language with the Watson Natural Language Classifier service
This code shows you how to use the node.js API for the Watson natural language classification service. Given some text and a context, Watson analyzes the text and returns a list of categories relevant to that text.
Also available in: Chinese   Japanese  
Articles 18 Jul 2017
Sample code: Analyze text with the Watson Personality Insights service
This code shows you how to use the Java API for the Watson Personality Insights service. Given some text, Watson analyzes the openness, conscientiousness, extraversion, agreeableness, emotional range, and needs of the speaker.
Also available in: Chinese  
Articles 18 Jul 2017
Sample code: Identify the tone of written text with the Watson Tone Analysis service
This code shows you how to use the Java API for the Watson tone analysis service. Given some text, Watson evaluates the tone, looking for qualities such as the speaker's levels of anger, disgust, joy, fear, and sadness.
Also available in: Chinese   Japanese  
Articles 18 Jul 2017
Sample code: Identify objects in an image with the Watson Visual Recognition service
This code shows you how to use the node.js API for the Watson Visual Recognition service. Given an image, Watson attempts to identify objects in that image.
Also available in: Chinese   Japanese  
Articles 18 Jul 2017
Build a home assistant mobile application with Watson and IoT Platform services
The tutorial shows how a mobile application can use the Watson Assistant, Text to Speech, and Speech to Text services to understand user commands, which are then used to control devices through IBM IoT Platform services. It also shows how to integrate a Raspberry Pi as a home gateway that receives commands from and sends events to the mobile app. Finally, it shows how to store images by using Object Storage Service.
Also available in: Chinese   Japanese  
Articles 01 Jun 2017
Creating a sentiment signal for publicly traded firms by using IBM Watson on Bluemix
This tutorial explains how our team used IBM Bluemix, the Watson Natural Language Understanding API, crawled web data, and Twitter data to create a web page to track the aggregated sentiment signal for several publicly traded firms. We also give two possible uses of this data in equity research.
Also available in: Chinese   Japanese  
Articles 09 May 2017
Introducing command line tools for Watson Visual Recognition
The Watson Visual Recognition service enables you to leverage cognitive computer vision to extract information from any image library. You can even go beyond standard object classification and use what are called ‘custom classifiers’ to train the Watson service to recognize specific items or conditions of your choosing. Read how the Watson Visual Recognition command line interface utility is used to interact with the service to train and test your custom classifiers.
Blog 21 Feb 2017
10 Steps to Train a Chatbot and its Machine Learning Models to Maximize Performance
The Watson Conversation Service offers a simple, scalable and science-driven solution for developers to build powerful chat bots to address the needs of various brands and companies. As developers leverage Watson Conversation to build cognitive solutions for various, one recurring question is: “How much time should I plan to train my solution” or “How do I know when my model is trained sufficiently well”? While the answer depends greatly on the problem being solved and the data powering the solution, in this blog we offer a common methodology for training the machine learning (ML) models powering your chat bot solution.
Blog 21 Feb 2017
Is Your Chatbot Ready for Prime-Time?
Despite the exponential growth in chatbots across various applications and messaging platforms, there are still several challenges to overcome when delivering a successful chatbot. One of the key challenges is the ability of the chatbot to understand the wide variety of inputs from the users. In this blog, we focus on computing and evaluating performance metrics for the trained machine learning system powering the chatbot.
Blog 21 Feb 2017
What is blockchain? A Primer on Distributed Ledger Technology
You’ve probably heard of Blockchain. It’s hard to navigate much of the web today without running across some kind of reference to it. After a while I thought, “Could I really explain Blockchain to someone if asked?” and if you’re in the same boat as I was, this post is for you.
Blog 21 Feb 2017
IBM Brings Machine Learning to Private Cloud
IBM has extracted the core machine learning technology from IBM Watson and will initially make it available where much of the world’s enterprise data resides: the z System mainframe, the operational core of global organizations where billions of daily transactions are processed.
Blog 16 Feb 2017
Build cognitive solutions for industries, Part 3: Design patterns for making cognitive data searchable and understandable
Cognitive computing is becoming increasingly important within the enterprise. In this tutorial, the third in a series, look at the design patterns for making cognitive data searchable and understandable.
Also available in: Chinese  
Articles 23 Jan 2017
Create a translation application by using Watson services, Eclipse, and IBM Cloud, Part 1: Set up the environment
In this series, learn how to create a translation application with a speech to text front end. The tutorials in the series cover setting up your environment and then using Java programming to develop the cognitive services.
Also available in: Chinese   Portuguese  
Articles 05 Dec 2016
Build cognitive solutions for industries, Part 2: Use cases for industry cognitive solutions
Cognitive computing is becoming increasingly important within the enterprise. In this tutorial, the second in a series, explore multiple successful cognitive use cases to help you understand what can be accomplished by building a cognitive platform.
Also available in: Chinese   Japanese  
Articles 12 Oct 2016
Build cognitive solutions for industries, Part 1: Cognitive computing in the Telecommunication and Media & Entertainment industries
Cognitive computing is becoming increasingly important within the enterprise. In this tutorial, the first in a series, learn how you can design and implement cognitive solutions in your own environment.
Also available in: Chinese   Japanese  
Articles 28 Sep 2016
Build an SMS monitoring app with Bluemix and Twilio's IBM Watson Add-ons
IBM Watson Message Insights and Sentiment Analysis are now available as Add-ons in the Twilio marketplace. In this tutorial, learn how to harness the power of these services by enriching SMS messages sent to a Twilio service with IBM Watson, and route these enriched messages to a Bluemix web application. In six easy steps, you can deploy a Bluemix application, configure your Twilio account, and visualize the value of IBM Watson for your text message augmentation needs!
Also available in: Japanese  
Articles 15 Aug 2016
Improve the customer experience with cognitive computing and IBM Watson
Discover how a hypothetical bank uses IBM Watson services to enhance their loyalty program. By focusing on a few key services, they can gain insights into their customers' personalities and predict their behavior and preferences, allowing them to personalize rewards. Using Tone Analyzer in a live chat also helps customer representatives more accurately read the customers' tone and so the customer reps can adjust their own tone while typing.
Also available in: Japanese  
Articles 01 Aug 2016
Ask Watson what Twitter is telling you, Part 2: Analyze the tweet text for emotions
Quickly build an app to get data from Twitter and then use the data for cognitive insights by using IBM Watson services such as Tone Analyzer, Visual Recognition, and Alchemy. You can drill down on the sentiments by analyzing the text right down to the sentence level. You then share your findings through a bar graph of emotions.
Also available in: Chinese   Japanese  
Articles 28 Jun 2016
Ask Watson what Twitter is telling you, Part 1: Getting your Twitter credentials
Quickly build an app to get data from Twitter and then use the data for cognitive insights by using IBM Watson services such as Tone Analyzer, Visual Recognition, and Alchemy.
Also available in: Chinese   Japanese  
Articles 20 Jun 2016
Create a browser-based PDF storage and search application with Bluemix services, Part 2: Use the Object Storage service to store your files
Create a powerful, browser-based, PDF storage and search application that makes it faster and easier to search for relevant content in your document collection. It uses the Slim PHP micro-framework, together with Document Conversion and Keyword Extraction services from IBM Watson. IBM Bluemix provides object storage services and hosting infrastructure. Part 2 shows how to use upload and store your converted files.
Also available in: Japanese   Portuguese   Spanish  
Articles 13 Jun 2016
The latest and greatest Cognitive computing tutorials (May 2016)
Take a look at three of the latest and greatest tutorials from the various IBM Watson teams.
Also available in: Chinese  
Articles 03 May 2016
Measure cognitive service performance
Learn how you can use IBM Watson Annotation Assist, an open source web application that provides near-zero touch evaluation of cognitive system responses, to iteratively train and evaluate cognitive system performance.
Also available in: Chinese   Portuguese   Spanish  
Articles 25 Apr 2016
Making Watson a rockstar: Test your Spanish language knowledge with translated song lyrics
Build a Node.js application to connect to and authenticate with your Spotify account, fetch song lyrics from Genius.com, and then use Watson APIs on Bluemix to do fun things with those lyrics. This tutorial, demo, and sample app will show you how to build an app which quizzes you on your foreign language skills by presenting the lyrics of your favorite songs in Spanish in a quiz-like format.
Also available in: Chinese   Japanese  
Articles 29 Jan 2016
Accelerate the development of cognitive computing in your IoT app
Learn about the newly announced cognitive capabilities for IBM Watson IoT Platform. Then, explore a real customer example that illustrates what you can do with these new capabilities.
Also available in: Chinese   Russian   Japanese  
Articles 16 Dec 2015
Top cognitive computing tutorials (November 2015)
Three of our most popular articles on cognitive computing are highlighted in this article for your convenience.
Also available in: Chinese  
Articles 24 Nov 2015
Building smarter wearables for healthcare, Part 3: Building smarter wearables for healthcare, part 3: Implementing Watson Services in Wearable Apps
In this third and final article in our series that explores cognitive computing and the role that Watson plays in it, we use the IBM Watson Tradeoff Analytics Service to set up an example fitness application. We selected this service because it helps users make decisions based on multiple criteria and then explores the trade-offs between various options. In our sample application, we strike a balance between a user's endurance training, strength training, and weight loss. We also get recommendations based on both exercise and diet data by using the IBM Watson Tradeoff Analytics Service to visually show these recommendations.
Also available in: Chinese   Russian   Japanese  
Articles 17 Sep 2015
Bluemix demo at the Cloud World Forum 2015
Ed Shee, Cloud Software Specialist for IBM Bluemix, walks through a quick 3-minute demo on creating an application in the cloud with IBM Bluemix utilizing Watson Personality Insights. He shows how easy it is to provision a boilerplate -- a runtime, a service, and some starter code all bundled together.
Videos 04 Aug 2015
Discover and use real-world terminology with IBM Watson Content Analytics
Use linguistic analysis in IBM Watson Content Analytics (WCA) to explore domain-specific terminology, and build domain dictionaries that reflect users' "real-life" vocabulary preferences. Use these dictionaries in WCA Studio to build concept annotators.
Also available in: Chinese   Russian   Japanese   Portuguese  
Articles 04 Dec 2014
Analytics for Hadoop on Bluemix, Part 2: Analytics for Hadoop on Bluemix: Navigate the BigInsights web console
Use the IBM InfoSphere BigInsights web console to check the status of services, view the health of your system, and monitor the status of your big data environment.
Also available in: Chinese   Russian   Portuguese  
Articles 02 Oct 2014
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