This document discusses Bayesian probability and its application to text classification. It explains how to calculate the probability P(C|D) that a document D belongs to a class C using Bayes' theorem. Key terms like bag-of-words, term frequency, and maximum likelihood estimation are also introduced. Several examples are provided to illustrate how to classify documents into different topics based on word probabilities.
This document discusses Bayesian probability and its application to text classification. It explains how to calculate the probability P(C|D) that a document D belongs to a class C using Bayes' theorem. Key terms like bag-of-words, term frequency, and maximum likelihood estimation are also introduced. Several examples are provided to illustrate how to classify documents into different topics based on word probabilities.
Understanding Traditional AI with Custom Vision & MuleSoft.pptxshyamraj55
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Understanding Traditional AI with Custom Vision & MuleSoft.pptx | ### 際際滷 Deck Description:
This presentation features Atul, a Senior Solution Architect at NTT DATA, sharing his journey into traditional AI using Azure's Custom Vision tool. He discusses how AI mimics human thinking and reasoning, differentiates between predictive and generative AI, and demonstrates a real-world use case. The session covers the step-by-step process of creating and training an AI model for image classification and object detection！specifically, an ad display that adapts based on the viewer's gender. Atulavan highlights the ease of implementation without deep software or programming expertise. The presentation concludes with a Q&A session addressing technical and privacy concerns.
Many MSPs overlook endpoint backup, missing out on additional profit and leaving a gap that puts client data at risk.
Join our webinar as we break down the top challenges of endpoint backup！and how to overcome them.
FinTech - US Annual Funding Report - 2024.pptxTracxn
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US FinTech 2024, offering a comprehensive analysis of key trends, funding activities, and top-performing sectors that shaped the FinTech ecosystem in the US 2024. The report delivers detailed data and insights into the region's funding landscape and other developments. We believe this report will provide you with valuable insights to understand the evolving market dynamics.
A Framework for Model-Driven Digital Twin EngineeringDaniel Lehner
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際際滷s from my PhD Defense at Johannes Kepler University, held on Janurary 10, 2025.
The full thesis is available here: https://epub.jku.at/urn/urn:nbn:at:at-ubl:1-83896
DAO UTokyo 2025 DLT mass adoption case studies IBM Tsuyoshi Hirayama (峠表吼)Tsuyoshi Hirayama
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DAO UTokyo 2025
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https://utbciii.com/2024/12/12/announcing-dao-utokyo-2025-conference/
Session 1 :DLT mass adoption
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Unlock AI Creativity: Image Generation with DALL，EExpeed Software
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Discover the power of AI image generation with DALL，E, an advanced AI model that transforms text prompts into stunning, high-quality visuals. This presentation explores how artificial intelligence is revolutionizing digital creativity, from graphic design to content creation and marketing. Learn about the technology behind DALL，E, its real-world applications, and how businesses can leverage AI-generated art for innovation. Whether you're a designer, developer, or marketer, this guide will help you unlock new creative possibilities with AI-driven image synthesis.
What Makes "Deep Research"? A Dive into AI AgentsZilliz
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About this webinar:
Unless you live under a rock, you will have heard about OpenAI¨s release of Deep Research on Feb 2, 2025. This new product promises to revolutionize how we answer questions requiring the synthesis of large amounts of diverse information. But how does this technology work, and why is Deep Research a noticeable improvement over previous attempts? In this webinar, we will examine the concepts underpinning modern agents using our basic clone, Deep Searcher, as an example.
Topics covered:
Tool use
Structured output
Reflection
Reasoning models
Planning
Types of agentic memory
UiPath Automation Developer Associate Training Series 2025 - Session 2DianaGray10
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In session 2, we will introduce you to Data manipulation in UiPath Studio.
Topics covered:
Data Manipulation
What is Data Manipulation
Strings
Lists
Dictionaries
RegEx Builder
Date and Time
Required Self-Paced Learning for this session:
Data Manipulation with Strings in UiPath Studio (v2022.10) 2 modules - 1h 30m - https://academy.uipath.com/courses/data-manipulation-with-strings-in-studio
Data Manipulation with Lists and Dictionaries in UiPath Studio (v2022.10) 2 modules - 1h - https:/academy.uipath.com/courses/data-manipulation-with-lists-and-dictionaries-in-studio
Data Manipulation with Data Tables in UiPath Studio (v2022.10) 2 modules - 1h 30m - https:/academy.uipath.com/courses/data-manipulation-with-data-tables-in-studio
?? For any questions you may have, please use the dedicated Forum thread. You can tag the hosts and mentors directly and they will reply as soon as possible.
UiPath Automation Developer Associate Training Series 2025 - Session 1DianaGray10
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Welcome to UiPath Automation Developer Associate Training Series 2025 - Session 1.
In this session, we will cover the following topics:
Introduction to RPA & UiPath Studio
Overview of RPA and its applications
Introduction to UiPath Studio
Variables & Data Types
Control Flows
You are requested to finish the following self-paced training for this session:
Variables, Constants and Arguments in Studio 2 modules - 1h 30m - https://academy.uipath.com/courses/variables-constants-and-arguments-in-studio
Control Flow in Studio 2 modules - 2h 15m - https:/academy.uipath.com/courses/control-flow-in-studio
?? For any questions you may have, please use the dedicated Forum thread. You can tag the hosts and mentors directly and they will reply as soon as possible.
TrustArc Webinar - Building your DPIA/PIA Program: Best Practices & TipsTrustArc
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Understanding DPIA/PIAs and how to implement them can be the key to embedding privacy in the heart of your organization as well as achieving compliance with multiple data protection / privacy laws, such as GDPR and CCPA. Indeed, the GDPR mandates Privacy by Design and requires documented Data Protection Impact Assessments (DPIAs) for high risk processing and the EU AI Act requires an assessment of fundamental rights.
How can you build this into a sustainable program across your business? What are the similarities and differences between PIAs and DPIAs? What are the best practices for integrating PIAs/DPIAs into your data privacy processes?
Whether you're refining your compliance framework or looking to enhance your PIA/DPIA execution, this session will provide actionable insights and strategies to ensure your organization meets the highest standards of data protection.
Join our panel of privacy experts as we explore:
- DPIA & PIA best practices
- Key regulatory requirements for conducting PIAs and DPIAs
- How to identify and mitigate data privacy risks through comprehensive assessments
- Strategies for ensuring documentation and compliance are robust and defensible
- Real-world case studies that highlight common pitfalls and practical solutions
EaseUS Partition Master Crack 2025 + Serial Keykherorpacca127
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https://ncracked.com/7961-2/
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EASEUS Partition Master Crack is a professional hard disk partition management tool and system partition optimization software. It is an all-in-one PC and server disk management toolkit for IT professionals, system administrators, technicians, and consultants to provide technical services to customers with unlimited use.
EASEUS Partition Master 18.0 Technician Edition Crack interface is clean and tidy, so all options are at your fingertips. Whether you want to resize, move, copy, merge, browse, check, convert partitions, or change their labels, you can do everything with a few clicks. The defragmentation tool is also designed to merge fragmented files and folders and store them in contiguous locations on the hard drive.
Field Device Management Market Report 2030 - TechSci ResearchVipin Mishra
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The Global Field Device Management (FDM) Market is expected to experience significant growth in the forecast period from 2026 to 2030, driven by the integration of advanced technologies aimed at improving industrial operations.
? According to TechSci Research, the Global Field Device Management Market was valued at USD 1,506.34 million in 2023 and is anticipated to grow at a CAGR of 6.72% through 2030. FDM plays a vital role in the centralized oversight and optimization of industrial field devices, including sensors, actuators, and controllers.
Key tasks managed under FDM include:
Configuration
Monitoring
Diagnostics
Maintenance
Performance optimization
FDM solutions offer a comprehensive platform for real-time data collection, analysis, and decision-making, enabling:
Proactive maintenance
Predictive analytics
Remote monitoring
By streamlining operations and ensuring compliance, FDM enhances operational efficiency, reduces downtime, and improves asset reliability, ultimately leading to greater performance in industrial processes. FDM¨s emphasis on predictive maintenance is particularly important in ensuring the long-term sustainability and success of industrial operations.
For more information, explore the full report: https://shorturl.at/EJnzR
Major companies operating in Global?Field Device Management Market are:
General Electric Co
Siemens AG
ABB Ltd
Emerson Electric Co
Aveva Group Ltd
Schneider Electric SE
STMicroelectronics Inc
Techno Systems Inc
Semiconductor Components Industries LLC
International Business Machines Corporation (IBM)
#FieldDeviceManagement #IndustrialAutomation #PredictiveMaintenance #TechInnovation #IndustrialEfficiency #RemoteMonitoring #TechAdvancements #MarketGrowth #OperationalExcellence #SensorsAndActuators
Inside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar PatturajScyllaDB
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Freshworks migrated from Cassandra to ScyllaDB to handle growing audit log data efficiently. Cassandra required frequent scaling, complex repairs, and had non-linear scaling. ScyllaDB reduced costs with fewer machines and improved operations. Using Zero Downtime Migration (ZDM), they bulk-migrated data, performed dual writes, and validated consistency.
