A Model of Opinion Mining to Compute Score from Curriculum Vitae - WBSSTC 2015Sohom Ghosh
Opinion Mining has become a major field of study of late. Curriculum vitae or resume reveals the potential of an interviewee. It creates his first impression. A recent study revealed that more than 90% of resumes are rejected at the very first glance. Thus, it is extremely important to prepare a resume which is both impressive and informative. In this paper, I will be discussing about the innovative model which I have built to compute score from resume. Based, on this score a user will have an idea about where his CV stands. This model can work with any kind of CV format. The best part of it is that it can suggest the areas of improvement after analyzing the content of the CV. This original model uses natural language processing tasks like tokenization, stop word removal, POS tagger for preprocessing. Concepts of text mining have been used for examining the corpus. Finally, I have used a mapping function to compute the grade from score. The main advantage of this time savvy model is it can do away with the manual process of evaluating resume. It is useful for both recruiters and job seekers.
Intro of Key Features of Auto eCAAT Ent Softwarerafeq
This presentation provides a brief overview of Auto eCAAT Ent with use cases. Auto eCAAT Ent is a Data Analytics/BI software specially designed for automating analytics in the assignments of Assurance, Compliance and Fraud Investigations.
A Model of Opinion Mining to Compute Score from Curriculum Vitae - WBSSTC 2015Sohom Ghosh
Opinion Mining has become a major field of study of late. Curriculum vitae or resume reveals the potential of an interviewee. It creates his first impression. A recent study revealed that more than 90% of resumes are rejected at the very first glance. Thus, it is extremely important to prepare a resume which is both impressive and informative. In this paper, I will be discussing about the innovative model which I have built to compute score from resume. Based, on this score a user will have an idea about where his CV stands. This model can work with any kind of CV format. The best part of it is that it can suggest the areas of improvement after analyzing the content of the CV. This original model uses natural language processing tasks like tokenization, stop word removal, POS tagger for preprocessing. Concepts of text mining have been used for examining the corpus. Finally, I have used a mapping function to compute the grade from score. The main advantage of this time savvy model is it can do away with the manual process of evaluating resume. It is useful for both recruiters and job seekers.
Intro of Key Features of Auto eCAAT Ent Softwarerafeq
This presentation provides a brief overview of Auto eCAAT Ent with use cases. Auto eCAAT Ent is a Data Analytics/BI software specially designed for automating analytics in the assignments of Assurance, Compliance and Fraud Investigations.
Amazon SageMaker is a fully-managed platform that lets developers and data scientists build and scale machine learning solutions. First, we'll show you how SageMaker Ground Truth helps you label large training datasets. Then, using Jupyter notebooks, we'll show you how to build, train and deploy models using built-in algorithms and frameworks (TensorFlow, Apache MXNet, etc). Finally, we'll show you how to use 3rd-party models from the AWS marketplace.
Amazon SageMaker is a fully-managed platform that lets developers and data scientists build and scale machine learning solutions. First, we'll show you how SageMaker Ground Truth helps you label large training datasets. Then, using Jupyter notebooks, we'll show you how to build, train and deploy models using built-in algorithms and frameworks (TensorFlow, Apache MXNet, etc). Finally, we'll show you how to use 3rd-party models from the AWS marketplace.
MLflow is an MLOps tool that enables data scientist to quickly productionize their Machine Learning projects. To achieve this, MLFlow has four major components which are Tracking, Projects, Models, and Registry. MLflow lets you train, reuse, and deploy models with any library and package them into reproducible steps. MLflow is designed to work with any machine learning library and require minimal changes to integrate into an existing codebase. In this session, we will cover the common pain points of machine learning developers such as tracking experiments, reproducibility, deployment tool and model versioning. Ready to get your hands dirty by doing quick ML project using mlflow and release to production to understand the ML-Ops lifecycle.
An Efficient Model to Identify A Vehicle by Recognizing the Alphanumeric Char...IJMTST Journal
Automatic Engine Number Recognition (AENR) is the digital image processing and an important aspect/role to identify the theft vehicles by recognizing characters, digits and special symbols. There is increase in the theft of vehicles, so to identify these theft vehicles, the proposed system is introduced. The proposed system controls the theft vehicles by recognizing a digits and characters in the number plate and chassis region and stores in the database in ASCII format to check the theft vehicles are registered or unregistered. Both system consists of 4 common phases: - Preprocessing, Character Extraction (ROI), Character Segmentation, and Character Recognition. This paper proposes a new scheme for engine number and chassis number extraction from the pre-processed image of the vehicle’s engine and chassis region using preprocess techniques, Region of Interest(ROI), Binarization, thresholding, template matching.
I did Masters in Mechanical Engineering from Lamar University with 3.5 GPA. I have interest in manufacturing and design subjects. I have highest grade in all that subjects. I have 1 year of experience with teaching field at Lamar University. I was teaching CAD subjects to graduate and undergraduate student. I have professional 2 years of experience as a Design/Manufacturing Engineer. During that time I relocated machines using lean manufacturing concept to get maximum output. Moreover implement six sigma DMAIC concept to reduce lead time. I have very good knowledge of machining of metal components on CNC machines and laser cutting of sheet metal plate.I can work fluently on CAD software such as CREO, Pro-E, Solidworks, Unigraphics and Nastran.
Amazon SageMaker is a fully-managed platform that lets developers and data scientists build and scale machine learning solutions. First, we'll show you how SageMaker Ground Truth helps you label large training datasets. Then, using Jupyter notebooks, we'll show you how to build, train and deploy models using built-in algorithms and frameworks (TensorFlow, Apache MXNet, etc). Finally, we'll show you how to use 3rd-party models from the AWS marketplace.
Amazon SageMaker is a fully-managed platform that lets developers and data scientists build and scale machine learning solutions. First, we'll show you how SageMaker Ground Truth helps you label large training datasets. Then, using Jupyter notebooks, we'll show you how to build, train and deploy models using built-in algorithms and frameworks (TensorFlow, Apache MXNet, etc). Finally, we'll show you how to use 3rd-party models from the AWS marketplace.
MLflow is an MLOps tool that enables data scientist to quickly productionize their Machine Learning projects. To achieve this, MLFlow has four major components which are Tracking, Projects, Models, and Registry. MLflow lets you train, reuse, and deploy models with any library and package them into reproducible steps. MLflow is designed to work with any machine learning library and require minimal changes to integrate into an existing codebase. In this session, we will cover the common pain points of machine learning developers such as tracking experiments, reproducibility, deployment tool and model versioning. Ready to get your hands dirty by doing quick ML project using mlflow and release to production to understand the ML-Ops lifecycle.
An Efficient Model to Identify A Vehicle by Recognizing the Alphanumeric Char...IJMTST Journal
Automatic Engine Number Recognition (AENR) is the digital image processing and an important aspect/role to identify the theft vehicles by recognizing characters, digits and special symbols. There is increase in the theft of vehicles, so to identify these theft vehicles, the proposed system is introduced. The proposed system controls the theft vehicles by recognizing a digits and characters in the number plate and chassis region and stores in the database in ASCII format to check the theft vehicles are registered or unregistered. Both system consists of 4 common phases: - Preprocessing, Character Extraction (ROI), Character Segmentation, and Character Recognition. This paper proposes a new scheme for engine number and chassis number extraction from the pre-processed image of the vehicle’s engine and chassis region using preprocess techniques, Region of Interest(ROI), Binarization, thresholding, template matching.
I did Masters in Mechanical Engineering from Lamar University with 3.5 GPA. I have interest in manufacturing and design subjects. I have highest grade in all that subjects. I have 1 year of experience with teaching field at Lamar University. I was teaching CAD subjects to graduate and undergraduate student. I have professional 2 years of experience as a Design/Manufacturing Engineer. During that time I relocated machines using lean manufacturing concept to get maximum output. Moreover implement six sigma DMAIC concept to reduce lead time. I have very good knowledge of machining of metal components on CNC machines and laser cutting of sheet metal plate.I can work fluently on CAD software such as CREO, Pro-E, Solidworks, Unigraphics and Nastran.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Computer Vision and Pattern Recognition Research Projects
1. C O M P U T E R V I S I O N A N D P A T T E R N
R E C O G N I T I O N P R O J C T S
www.matlabsimulation.com/computer-vision-and-pattern-recognition-projects/
2. Procedures - Pattern Recognition
The persistence for patter recognition algorithm are listed below,
Parsing
Algorithms
Sequence
Labeling
Algorithms
Classification
Algorithms
Regression
Algorithms
Ensemble
Learning
Deformation
Algorithms
3. Stages Involved in Computer Vision & Pattern Recognition
CV & PR
New-fangled
Methods
Your Text Here
Example Text :
Get a modern PowerPoint Presentation that is beautifully
designed. Easy to change colors, photos and Text.
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CV & PR
Conservative
Methods
Your Text Here
Example Text :
Get a modern PowerPoint Presentation that is beautifully
designed. Easy to change colors, photos and Text.
• Image Restoration, Inpainting
& Registration
• Scene Reconstruction
• Motion Tracking and also
Analysis
• Image Recognition
• Feature Extraction
• Preprocessing
The following outline of projects steps are listed below,
4. Fundamental Application Areas
The following developments of key based application fields PR & CV are below,
Biometric Authentication &
Biomedical Imaging
Gesture and Face
Recognition
Navigation (Mobile
Robot or AUV)
Video Object
Segmentation & Video
Text Interactions
5. Datasets – CV & PR
The datasets used in projects are to be stated as below,
UC-3D Motion
Multiclass
Weather Dataset
MSRDaily Activity
3D
Market-1501
Attribute
SYSU 3D Human UWA3D