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- In this workshop, we are going to create a customer service Assistant for a bank. We are looking to automate some of the top questions that are reaching our age…
- In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched…
- In this workshop, you can use the tools provided by the Assistant service with skills that will directly help your customers. We will walk you through the proce…
- In this code pattern, we will integrate Instana with a polyglot microservice travel application on OpenShift. Instana is a fully automated Enterprise Observabil…
Journeytocloud
PublicIn this series you will learn how to get started with IBM Cloud platform, deploying your application on IBM Cloud, how to connect database to your application a…- A repository for you to get started with Open Source development, this would be a 1st step in contributing, start simple and then start growing!
Stirling-University-x-IBM-Data-Science-Lifecycle
Public archiveIn this workshop we will talk about the Data Science Lifecycle and what all data scientists do in their day-to-day jobs. We will be also showing you some tools …- AutoAI is a tool that automates machine learning tasks to ease the tasks of data scientists. It automatically prepares your data for modeling, chooses the best …
- Imagine boarding the Titanic in 2021, and you have provided all your details as a passenger to the captain. There is are three people involved, the data scienti…
- Chatbots are everywhere these days, and most businesses aim to use them to increase productivity and provide a better customer experience. In this tutorial, we …
AI-Integrity-Improving-AI-models-with-Cortex-Certifai
Public archiveExplainability of AI models is a difficult task which is made simpler by Cortex Certifai. It evaluates AI models for robustness, fairness, and explainability, a…- In this tutorial, we will use IBM Cloud Pak for Data to build a predictive machine learning model with IBM SPSS Modeler and decide whether a bank customer will …
DeveloperFestival21
Public archiveResources for you from our three-day, virtual conference.- Now a days businesses also use chatbots to increase productivity and provide a better customer experience. This demo aims to automate the banking experience for…
oc-scale-update
PublicThis tutorial shows you how to deploy, scale, update and rollback your application on Red Hat OpenShift. All of these features are essential to make sure that t…Artelligence2021
PublicWithin a bank’s loan department, a customer’s application undergoes a lot of scrutiny before a decision of approval or rejection is made. The evaluation process…AI-Ethics
PublicFairness in data, and machine learning algorithms is critical to building safe and responsible AI systems from the ground up by design. Both technical and busin…JourneyToLowCode-NoCodeApplicationSecurity
Public archiveThis series will focus on how to easily add authentication to web apps with zero code changes and no redeploy, how to secure a Spring boot Application and lastl…Speed-up-your-Data-Cleansing-with-Data-Refinery
Public archiveWe're going to take a quick tour of the Data Refinery tool. Data Refinery can quickly filter and mutate data, create quick visualizations, and do other data cle…- Customer churn is an important aspect for any business, it gives them insights about their prospective customers. In this tutorial we will be predicting custome…
TADHackZA_2021
Public archiveIBM Developer Resources for TADHackZA 2021 virtual event from 24 to 26 September 2021 "Emerging from the Pandemic - Collaboration and Monetisation towards the 4…- In this Workshop, you’ll learn how with App ID, you can easily protect your Node.js front-end web applications. we will have a simple authentication flow up and…
- In this tutorial, learn how to use Watson Knowledge Studio to annotate reviews for auto repair facilities. After annotating the reviews, you can then train a ma…
Logistic-regression-using-TensorFlow
Public archiveIn this tutorial, learn how to create a Jupyter Notebook that contains Python code for defining logistic regression, then use TensorFlow (tf.keras) to implement…oc-devops
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