Pluralsight – Using Pre Built AI To Solve Business Challenges

Pluralsight – Using Pre Built Ai To Solve Business Challenges-NOLEDGE
English | Size: 222.17 MB
Category: Tutorial


Notes: Microsoft Ignite 2019 | Using Pre built AI to Solve Business Challenges | David Smith As a data-driven company, Tailwind Traders understands the importance of using artificial intelligence to improve business processes and delight customers Before investing in an AI team, their existing developers were able to demonstrate some quick wins using pre built AI technologies. In this session, we show how you can use Azure Cognitive Services to extract insights from retail data and go into the neural networks behind computer vision. Learn how it works and how to augment the pre-built AI with your own images for custom image recognition applications

Pluralsight – Delivering AI In Azure From The Command Line With Azure Cli Microsoft Azure Plus AI 2019

Pluralsight – Delivering Ai In Azure From The Command Line With Azure Cli Microsoft Azure Plus Ai 2019-NOLEDGE
English | Size: 159.93 MB
Category: Tutorial


Notes: Don’t miss the upcoming Microsoft Azure + AI event on December 8-10 2020 in Las Vegas, Nevada.n Join this session with Arun Chandrasekhar to see how development productivity is boosted in the Azure CLI by machine learning generated code. Arun will then showcase how to use the Azure CLI to setup a dev environment to quickly get started with Cognitive Services Finally, the session will demo how to develop AI apps using the Machine Learning CLI

Pluralsight – Tackling Code Issues with Your App: Microsoft Azure + AI 2019-NOLEDGE

Pluralsight – Tackling Code Issues with Your App: Microsoft Azure + AI 2019-NOLEDGE
English | Size: 241.18 MB
Category: Tutorial


Don’t miss the upcoming Microsoft Azure + AI event on December 8-10, 2020 in Las Vegas, Nevada.
Triage live site issues using Change Analysis and Azure Monitor Application Insights. Diagnose performance issues using Profiler to identify which lines of code slowed down a web app. No more no repro as snapshot debugger captures the mini dump that includes local variables and call stack to diagnose exceptions. Take snapshot on-demand using Visual Studio to identify where in code threw the exception.

Coursera – Smart Analytics, Machine Learning, and AI on GCP

Coursera – Smart Analytics, Machine Learning, and AI on GCP
English | Size: 181.14 MB
Category: Tutorial


Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs.

PluralSight – AI Powered Web Search With Bing Search Apis And More

PluralSight – AI Powered Web Search With Bing Search Apis And More-NOLEDGE
English | Size: 168.61 MB
Category: Tutorial


Microsoft Ignite 2019 | AI Powered Web Search with Bing Search APIs, and More | Brian King
In today’s competitive landscape, a business’ success is predicated on its ability to provide its users with the right products and services. In this session, learn how easy it is to create a tailored, end-to-end solution using Bing APIs such as Bing Custom Search, Bing Web Search, Bing Visual Search, Bing Entity Search, Bing Autosuggest, Bing Spell Check, and more. Next, learn how to triangulate multiple data sources to develop more nuanced insights and an improved understanding of customer sentiments using a combination of Cognitive AI API capabilities. Discover how companies around the world are using these APIs to access the powerful Bing knowledge graph and index for scenarios like plagiarism detection, fraud detection, infusing applications with contextual intelligence and reinforcing their existing datasets, and many more. Leverage these APIs to grow your business.