Can companies use business emails and chats to get insights and identify automation opportunities? Yes, it’s called communications mining and UiPath now offers the perfect solution for this: UiPath Communications Mining. <h2>About the UiPath Communications Mining Overview course </h2>This introductory course is meant to provide technical audiences and business users with an understanding of what UiPath Communications Mining is, what it does, how it works, and how it helps companies to process vast amounts of unstructured communications data, such as emails, instant messages, log notes, and so on. This course will take you through the process of turning unstructured communication data into structured data and processing it using Natural Language Processing (NLP) to generate business intelligence, valuable analytics, and automation opportunities.  The UiPath Communications Mining overview is a beginner level course. It takes 1 hour to complete. At the end, you’ll receive a diploma of completion. <h4>Course prerequisites </h4>This course is designed for people completely new to UiPath Communications Mining. Thus, it doesn&#39;t have any pre-requisites. <h4>Course audience </h4>The UiPath Communications Mining Overview course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business. <h4>The UiPath Communications Mining Overview course agenda </h4>We’ll introduce UiPath Communications Mining at an overview level before looking closely at some of its main capabilities. The full agenda covers:  <ul><li>Getting started with UiPath Communications Mining </li><li>Introduction to UiPath Communications Mining </li><li>How does UiPath Communications Mining Work? </li><li>Why should you use UiPath Communications Mining? </li><li>What does the Communications Mining platform look like? </li></ul><h4>UiPath Communications Mining Overview learning objectives </h4>At the end of the UiPath Communications Mining Overview course, you should be able to: <ul><li>Define the main concepts related to UiPath Communications Mining. </li><li>Recognize the business challenges that are solved with the help of UiPath Communications Mining.  </li><li>Describe what UiPath Communications Mining does and how it works. </li><li>List out the optimal data types for UiPath Communications Mining. </li><li>Identify the tools that are integrated downstream with Communications Mining.  </li><li>List out the benefits of UiPath Communications Mining for you and your business. </li><li>Describe why UiPath Communications Mining is a trusted solution. </li><li>List out some examples and use cases of Communications Mining. </li><li>Describe the main features of the platform.</li></ul>

UiPath Communications Mining Overview

Tired of spending hours sifting through business emails? Let our labels and fields take the hassle out of your inbox!

<h2>About the Fundamentals of Model Training training</h2>This course is meant to provide technical audiences and business users with the knowledge required before training a model on their data in the UiPath Communications Mining platform. This course will go through key concepts, including labels and fields and how they work, as well as an overview of the steps involved in the end-to-end model training process. The Fundamentals of Model Training takes 50 mins to complete. At the end, you’ll receive a diploma of completion. <h3>Learning prerequisites </h3>To make the most of this learning experience, we recommend going through the introductory UiPath Communications Mining Overview course. <h3>Audience </h3>The Fundamentals of Model Training course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business.<h3>Agenda </h3>The full agenda covers: <ul><li>What is model training and what makes a ‘good’ model </li><li>What is Generative Extraction? </li><li>Label, fields, and metadata </li><li>Introduction to model training </li><li>Training with label sentiment analysis </li></ul><h3>Learning objectives </h3>At the end of the Fundamentals of Model Training course, you should be able to: <ul><li>Define what model training is. </li><li>Describe what makes a &#39;good&#39; model. </li><li>Explain labels, fields, metadata, and how to use them. </li><li>Explain what the model learns from during training. </li><li>Explain the overview of model training process. </li><li>List out the labeling best practices for labels and fields. </li><li>Explain how to use &#39;Train&#39; for a guided label training experience. </li><li>Explain the unique elements of training with label sentiment analysis enabled.</li></ul>

Fundamentals of Model Training

 Struggling to keep your business emails organized? This course will teach you how to create and structure labels to prioritize messages, identify urgent tasks, and efficiently manage your inbox.

<h2>About the Taxonomy Design training</h2>This course is meant to provide technical audiences and business users with an understanding of how to build your taxonomy before beginning model training. This includes creating and structuring labels, what they should capture, and how to turn specific objectives into labels. This course also covers defining the field types and configurations you want to train if planning to explore and implement automation. The Taxonomy Design course takes 40 minutes to complete. At the end, you’ll receive a diploma of completion. <h3>Learning prerequisites </h3>To enjoy this learning experience, we recommend you go through the following courses: <ul><li>UiPath Communications Mining Overview </li><li>Fundamentals of Model Training </li></ul><h3>Audience </h3>The Taxonomy Design course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business.<h3>Agenda </h3>The full agenda covers: <ul><li>Taxonomy design: labels </li><li>Building your label taxonomy </li><li>Taxonomy design: fields </li><li>Practice: Draft a Taxonomy of labels and fields</li></ul>

Taxonomy Design

Are you ready to take your data management skills to the next level? Our comprehensive course on data structures, permissions, and setting up datasets is here to help!

<h2>About the Model Training Deep Dive: Setup course </h2>This course is meant to provide technical audiences and business users with an understanding of data structures, permissions, and setting up datasets.  This course covers creating a new dataset, importing your taxonomy, enabling and creating entities, and understanding the status of your dataset. The Model Training Deep Dive: Setup course takes 30 minutes to complete. At the end, you’ll receive a diploma of completion. <h4>Course prerequisites </h4>To enjoy this learning experience, we recommend you going through the following courses: <ul><li>UiPath Communications Mining Overview </li><li>Fundamentals of Model Training </li><li>Taxonomy Design </li></ul><h4>Course audience </h4>The Model Training Deep Dive: Setup course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business. <h4>The Model Training Deep Dive: Setup course agenda </h4>The full agenda covers:  <ul><li>Managing Datasets </li><li>Importing Taxonomy </li><li>Dataset Training status </li><li>Practice: Set Up a Dataset Ready for Training </li></ul><h4>Model Training Deep Dive: Setup course learning objectives </h4>At the end of the Model Training Deep Dive: Setup course, you should be able to: <ul><li>Explain the data structure and permissions in Communications Mining. </li><li>Create a new dataset. </li><li>Enable entities on a dataset. </li><li>Import your taxonomy from a spreadsheet via the &#39;Settings&#39; or &#39;Train&#39; pages. </li><li>Describe how the platform re-trains during model training. </li><li>Explain the status of your dataset.</li></ul>

Model Training Deep Dive: Setup

Are you interested in learning about the &#39;Discover&#39; phase of model training? Our comprehensive course is designed to help you understand the importance of this critical step in the model training process. <h2>About the Model Training Deep Dive: Discover course </h2>This course is meant to provide technical audiences and business users with an understanding of the &#39;Discover&#39; phase of the model training process.  It provides an insight into the importance of clusters, as well as explains in detail how to label clusters and how to label verbatims using search. The Model Training Deep Dive: Discover course takes 45 minutes to complete. At the end, you’ll receive a diploma of completion. <h4>Course prerequisites </h4>To enjoy this learning experience, we recommend you going through the following courses: <ul><li>UiPath Communications Mining Overview </li><li>Fundamentals of Model Training </li><li>Taxonomy Design </li><li>Model Training Deep Dive: Setup </li></ul><h4>Course audience </h4>The Model Training Deep Dive: Discover course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business. <h4>The Model Training Deep Dive: Discover course agenda </h4>The full agenda covers:  <ul><li>What is the &#39;Discover&#39; Phase? </li><li>Understanding Label and Entity Predictions </li><li>How to Train Using ‘Clusters&#39; </li><li>How to Train Using ‘Search’ </li><li>How to Use ‘Train’ During the ‘Discover’ Phase </li><li>Practice: Train Your Model in the &#39;Discover&#39; Phase </li></ul>Model Training Deep Dive: Discover course learning objectives At the end of the Model Training Deep Dive: Discover course, you should be able to: <ul><li>Define what the &#39;Discover&#39; phase of training is, how it works, and why it is important. </li><li>Explain how label and entity predictions work, and how to use them. </li><li>List out the important considerations while labeling in &#39;Discover&#39;. </li><li>Navigate through &#39;Clusters&#39;. </li><li>Train different &#39;Clusters&#39;. </li><li>Train using &#39;Search&#39;. </li><li>Explain why &#39;Search&#39; should be used sparingly. </li><li>Use &#39;train&#39; during the &#39;Discover&#39; phase.</li></ul>

Model Training Deep Dive: Discover

Looking to enhance your understanding of the essential steps and training modes in the ‘Explore’ phase of your project? This course will give you a complete overview of the primary steps and label training modes, including Shuffle, Teach, and Low Confidence. Not just that you’ll gain a deep understanding of entity training as well. <h2>About the Model Training Deep Dive: Explore course </h2>This course is meant to provide technical audiences and business users with an understanding of the &#39;Explore&#39; phase of the model training process.  It provides an overview of the primary steps and label training modes in the &#39;Explore&#39; phase — &#39;Shuffle&#39;, &#39;Teach&#39;, and &#39;Low Confidence&#39;. It also covers entity training, as well as pruning and reorganizing a taxonomy as required. The Model Training Deep Dive: Explore course takes 45 minutes to complete. At the end, you’ll receive a diploma of completion. <h4>Course prerequisites </h4>To enjoy this learning experience, we recommend you going through the following courses: <ul><li>UiPath Communications Mining Overview </li><li>Fundamentals of Model Training </li><li>Taxonomy Design </li><li>Model Training Deep Dive: Setup </li><li>Model Training Deep Dive: Discover </li></ul><h4>Course audience </h4>The Model Training Deep Dive: Explore course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business. <h4>The Model Training Deep Dive: Explore course agenda </h4>The full agenda covers:  <ul><li>Introduction to the &#39;Explore&#39; Phase </li><li>How to Train Using ‘Shuffle’, ‘Teach Label&#39;, and ‘Low Confidence’ </li><li>How to Train Entities Using &#39;Teach Entity&#39; </li><li>How to Prune and Reorganize a Taxonomy </li><li>How to Use &#39;Train&#39; During the &#39;Explore&#39; Phase </li><li>Practice: Train Your Own Model in the &#39;Explore&#39; Phase </li></ul><h4>Model Training Deep Dive: Explore course learning objectives </h4>At the end of the Model Training Deep Dive: Explore course, you should be able to: <ul><li>Define what &#39;Explore&#39; is, how it works, and why it&#39;s important. </li><li>List out the important considerations while labeling in &#39;Explore&#39;. </li><li>Navigate around &#39;Explore&#39;. </li><li>Train using &#39;Shuffle&#39; mode. </li><li>Train using &#39;Teach Label&#39; mode. </li><li>Train using &#39;Low Confidence&#39; mode. </li><li>Train entities using &#39;Teach Entity&#39; mode. </li><li>Prune and reorganize your taxonomy. </li><li>Use &#39;Train&#39; during the &#39;Explore&#39; phase.</li></ul>

Model Training Deep Dive: Explore

Are you looking to find out the different performance factors that impact your model rating? Do you want to learn how to refine your model and maintain it in production? This comprehensive course will give you an in-depth insight into the important concepts of how to optimize and refine your model until they meet your specific objectives.  <h2>About the Model Training Deep Dive: Refine and Maintain course </h2>This course is meant to provide technical audiences and business users with an understanding of the &#39;Refine&#39; phase of the model training process, as well as how model maintenance works.  It provides insights into precision vs. recall, the role of &#39;Validation&#39;, the model rating and the different performance factors impacting it, and how you can refine your model until it performs as required to meet your objectives. It will also cover how you can maintain your model in production. The Model Training Deep Dive: Refine and Maintain course takes one-hour thirty minutes to complete. At the end, you’ll receive a diploma of completion. <h4>Course prerequisites </h4>To enjoy this learning experience, we recommend you going through the following courses: <ul><li>UiPath Communications Mining Overview </li><li>Fundamentals of Model Training </li><li>Taxonomy Design </li><li>Model Training Deep Dive: Setup </li><li>Model Training Deep Dive: Discover </li><li>Model Training Deep Dive: Explore </li></ul><h4>Course audience </h4>The Model Training Deep Dive: Refine and Maintain course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business. <h4>The Model Training Deep Dive: Refine and Maintain course agenda </h4>The full agenda covers:  <ul><li>What is the &#39;Refine&#39; Phase? </li><li>Understanding Model Performance </li><li>Improving Label Performance </li><li>Checking and Improving Coverage </li><li>Checking and Improving Balance </li><li>Understanding and Improving Entity Performance </li><li>When to Stop Training Your Labels and Entities </li><li>How to Use &#39;Train&#39; During the &#39;Refine&#39; Phase </li><li>Model Maintenance </li><li>Practice: Refine Your Model in the &#39;Refine&#39; Phase </li></ul><h4>Model Training Deep Dive: Refine and Maintain course learning objectives </h4>At the end of the Model Training Deep Dive: Refine and Maintain course, you should be able to: <ul><li>Define what the &#39;Refine&#39; phase of model training is, how it works, and why it&#39;s important. </li><li>Explain the role of &#39;Validation&#39; when refining a model. </li><li>List out the important considerations while labeling during the &#39;Refine&#39; phase. </li><li>Explain precision and recall, what a model rating is, and how it&#39;s scored. </li><li>Explain the four factors impacting model performance and how to use the platform&#39;s recommended actions. </li><li>Explain how you can improve the performance of individual labels, and when to use &#39;Missed Label&#39;, &#39;Check Label&#39;, and &#39;Teach Label&#39; as part of the model refinement process. </li><li>Explain why coverage is important and how to check and improve your coverage score. </li><li>Explain why balance is important, and how to check and improve your balance score. </li><li>Explain how entity validation works and when to stop training your entities </li><li>Improve the performance of your entities, using the different training modes. </li><li>Explain when to stop training your labels and entities. </li><li>Use &#39;Train&#39; during the &#39;Refine&#39; phase. </li><li>Explain how to maintain a model in production, why it&#39;s important, and how to add new labels to an existing taxonomy. </li><li>Prevent concept drift and complete exception training.</li></ul>

Model Training Deep Dive: Refine and Maintain

Communications Mining Model Trainer Learning Plan - Assessment

UiPath Communications Mining Model Trainer Learning Plan

Möchten Sie sich in Communications Mining weiterbilden und die Leistungsfähigkeit von Modellen nutzen, die die Geschäftskommunikation verstehen?

Dann ist unser Lernplan für UiPath Communications Mining-Modelltrainer genau das Richtige für Sie.

UiPath Communications Mining-Modelltrainer-Lernplan

Looking to upskill in Communications Mining and unlock the power of models that understand business communications?

Look no further than our UiPath Communications Mining Model Trainer Learning plan.

🏆 Once you complete this learning plan, you will unlock the credential. You can access it from <a href="https://academy.uipath.com/activity-dashboard">My Dashboard</a> under the Achievements tab.<h4>About the UiPath Communications Mining Model Trainer</h4>The UiPath Communications Mining Model Trainer is a learning plan that is designed to help enterprises optimize their communication strategies through enhanced analytics, monitoring, and intelligent automation.With courses covering topics from the fundamentals of model training to model maintenance, this comprehensive learning plan is tailored to equip you with the necessary skills and knowledge to train and maintain successful models in the Communications Mining platform.Whether you&#39;re a seasoned professional or just starting out, this learning plan will guide you through every step of the process, ensuring that you gain a deep understanding of how to build, train and maintain models that deliver results. With Communications Mining Model Trainer, you&#39;ll be able to take your communications management strategy to the next level and achieve your business goals with ease.The UiPath Communications Mining Model Trainer training is made up of 07 individual courses. You’ll begin with an overview of Communications Mining.Once you’re familiar with this, you can expand your knowledge and learn how to create datasets, import a taxonomy of labels, understand the various phases of model training, and learn how to maintain your model in production.The full list of courses that make up the UiPath Communications Mining Model Trainer learning plan can be found in the ‘Learning Plan Curriculum’ tab. You can click on specific courses to view their agendas and learning objectives.The courses in the Communications Mining Model Trainer training take between thirty minutes and two hours each. In total, the full Communications Mining Model Trainer learning plan takes 05 hours 30 minutes to complete.<h4>Course audience for UiPath Communications Mining Model Trainer Learning Plan</h4>The UiPath Communications Mining Model Trainer training starts at a beginner level and progresses through to intermediate. You don’t need previous coding experience, but technical know-how can be beneficial. This course is targeted at both business users and technical audiences.

¿Quiere mejorar sus habilidades en Communications Mining y desbloquear el poder de los modelos que entienden las comunicaciones empresariales?

No busque más allá de nuestro plan de aprendizaje del Entrenador del modelo de UiPath Communications Mining.

Plan de aprendizaje del Entrenador del modelo de UiPath Communications Mining

¿Busca mejorar sus habilidades en minería de comunicaciones y desbloquear el poder de los modelos que comprenden las comunicaciones comerciales?

No busque más, nuestro plan de aprendizaje para capacitadores del modelo de minería de comunicaciones UiPath.

Plan de aprendizaje del entrenador del modelo minero de comunicaciones UiPath

Communications Mining のスキルアップを図り、ビジネス コミュニケーションを理解するモデルの力を引き出したいとお考えですか。UiPath Communications Mining モデル トレーナーの学習プランがお勧めです。

UiPath Communications Mining モデル トレーナーの学習プラン

Communications Mining에서 기술을 향상하고 비즈니스 커뮤니케이션을 이해하는 모델의 기능을 활용하고 싶습니까?

UiPath Communications Mining Model Trainer Learning 플랜만 있으면 됩니다.

UiPath Communications 마이닝 모델 트레이너 학습 플랜

Quer se aprimorar em Communications Mining e desbloquear o poder de modelos que entendem as comunicações de negócios?

Pode parar de procurar além do nosso plano de aprendizado de treinador de modelo do UiPath Communications Mining.

Plano de Aprendizado do Instrutor do Modelo do UiPath Communications Mining

Pretende melhorar as suas competências em Communications Mining e desbloquear o poder de modelos que compreenderam as comunicações empresariais?

Não hesite em procurar o nosso Plano de Aprendizagem para Formador de Modelos do UiPath Communications Mining.

Plano de Aprendizagem do Formador de Modelos do UiPath Communications Mining

Communications Mining'de becerilerinizi geliştirmek ve iş iletişimini anlayan modellerin gücünden yararlanmak mı istiyorsunuz?

UiPath Communications Mining Model Trainer Öğrenim planımızdan başkasını aramanıza gerek yoktur.

UiPath Communications Mining Modeli Eğitmen Öğrenim Planı

想要提升 Communications Mining 技能并释放了解业务通信的模型的强大功能？

我们的 UiPath Communications Mining 模型训练器学习计划就是您的最佳选择。