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While 72% of recruiting leaders worldwide agree that employer brand has a significant impact on hiring, just 55% have a proactive employer brand strategy*. If you belong to one of the 45% of companies who do not have a proactive employer brand strategy, getting started can feel daunting. In this APAC webinar, LinkedIn Employer Brand specialists will show you how you can build a compelling employer brand in-house and from scratch. You will learn: How to setup your employer brand project for success How to develop your Employer Value Proposition How to plan your employer brand communications How to rollout your employer brand
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Lauren Larose, LinkedIn Daniel Sanders, LinkedIn A strong talent brand is no longer a nice to have, but a must have if you want to hire quality talent. In order to have a strong talent brand, you must first start with the foundation: a clear employer value proposition. Your employer value proposition is your unique set of offerings and values that distinguishes your company from the competition - it gives people a reason to work for you. This session will cover the basics of employer branding and how to leverage LinkedIn insights and research to craft a compelling employer value proposition. Key highlights: Have an understanding of the basics of Employer Branding. Know the steps and inputs required to build/hone a compelling. Employer Value Proposition Understand how to measure the ROI of your Employer Branding efforts. Check out the best of Talent Connect: http://bit.ly/2e5ojNe
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So many recruiting leaders want to move away from metrics like cost of hire and time to hire, and onto more useful measurements — with quality of hire topping many recruitment leaders’ lists. Rob McIntosh, SVP of global talent acquisition for the 60-office, 20-country technology consulting firm Avanade, will walk you through, in detail, the problem Avanade wanted to solve by increasing the quality of hires; the journey and thinking required to build a new quality of hire global framework; and ultimately, how to measure and derive actionable outcomes on improving the overall quality of hires.
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While 72% of recruiting leaders worldwide agree that employer brand has a significant impact on hiring, just 55% have a proactive employer brand strategy*. If you belong to one of the 45% of companies who do not have a proactive employer brand strategy, getting started can feel daunting. In this APAC webinar, LinkedIn Employer Brand specialists will show you how you can build a compelling employer brand in-house and from scratch. You will learn: How to setup your employer brand project for success How to develop your Employer Value Proposition How to plan your employer brand communications How to rollout your employer brand
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As consumers we have different priorities when making purchasing decisions. For example, when buying a new car we will all consider different elements important (safety, price, large boot, etc.) So when people "buy" a new job from a company their purchasing decisions are equally as unique and personal e.g. the company brand, the salary, the location, culture, etc. Some are more focused on the facilities and technology available. Essentially, the Employment Value Proposition (EVP) is the compelling reason to join a company. EVP encompasses both Employer and Employee Value Proposition. The key thing is, that the EVP should be ongoing and not just something to be considered at the stage of attraction.
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ML Meetup #27 - Nubank Data Science: Past, present and future, Sandor Caetano
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Luis Moneda
Ims Introduction
Ims Introduction
Swarnim_Saraswat
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ML Meetup #27 - Nubank Data Science: Past, present and future, Sandor Caetano
ML Meetup #27 - Nubank Data Science: Past, present and future, Sandor Caetano
Ims Introduction
Ims Introduction
Más de Sudarsun Santhiappan
When data size grows in terms of sample count, feature count and model parameter count, things go crazy. The slideshow presents an overview of what to expect and how to handle them.
Challenges in Large Scale Machine Learning
Challenges in Large Scale Machine Learning
Sudarsun Santhiappan
Introducing Software Architecture and Design Patterns in a nutshell.
Software Patterns
Software Patterns
Sudarsun Santhiappan
Search Engines Demystified. The presentation covers about types of engines, search engine internal, comparative study, indexing, searching, information retrieval, inverted index, clustering, meta search engines, semantic search, search engine optimization, search evaluation, how to do search, search architecture and more.
Search Engine Demystified
Search Engine Demystified
Sudarsun Santhiappan
Comprehensive study of parallel, cluster, distributed, grid and cloud computing paradigms
Distributed Computing
Distributed Computing
Sudarsun Santhiappan
Discussions about the current engineering education scenario existing in self-financing colleges in Tamilnadu (2007-2008). All problems and ideas discussed are purely based on my personal experiences only.
What it takes to be the Best IT Trainer
What it takes to be the Best IT Trainer
Sudarsun Santhiappan
The development of behavioral therapy regimens for autistic patients is relatively challenging as these patients may not be able to express feedback to the applied treatment. The response to a treatment course is mostly estimated qualitatively and with little systematic feedback between therapy and response. Collecting and analyzing data about a patient’s daily activities could yield patterns linking these activities, thereby providing therapists with some foreknowledge of likely possible behavioral outcomes related to their therapies. We propose a method for anomaly detection system, which can monitor behavior patterns of the patient based on the data collected on a daily basis. The knowledge gathered about the patient could prove suggestive of the patient’s feedback to the applied therapy. Upon mining the behavioral patterns, the system could predict the response of a patient to a stimulus, given a list of recently displayed behaviors and/or completed activities. The knowledge thus gathered could also be used to treat other patients of similar disability.
Using Behavioral Patterns In Treating Autistic
Using Behavioral Patterns In Treating Autistic
Sudarsun Santhiappan
Spam filtering poses a critical problem in text categorization as the features of text is continuously changing. Spam evolves continuously and makes it difficult for the filter to classify the evolving and evading new feature patterns. Most practical applications are based on online user feedback, the task calls for fast, incremental and robust learning algorithms. This paper presents a system for automatically detection and filtering of unsolicited electronic messages. In this paper, we have developed a content-based classifier, which uses two topic models LSI and PLSA complemented with a text patternmatching based natural language approach. By combining these powerful statistical and NLP techniques we obtained a parallel content based Spam filter, which performs the filtration in two stages. In the first stage each model generates its individual predictions, which are combined by a voting mechanism as the second stage.
Topic Models Based Personalized Spam Filter
Topic Models Based Personalized Spam Filter
Sudarsun Santhiappan
Introducing Latent Semantic Analysis through Singular Value Decomposition on Text Data for Information Retrieval
Latent Semantic Indexing For Information Retrieval
Latent Semantic Indexing For Information Retrieval
Sudarsun Santhiappan
Introducing Transmission of Audio and Video through Internet Media.
Audio And Video Over Internet
Audio And Video Over Internet
Sudarsun Santhiappan
Introducing Network Security Issues and simple ways to fight back.
Practical Network Security
Practical Network Security
Sudarsun Santhiappan
Simple Introduction to Project Work..
How To Do A Project
How To Do A Project
Sudarsun Santhiappan
Introduction to Ontology
Ontology
Ontology
Sudarsun Santhiappan
The objective is to explain how a software design may be represented as a set of interacting objects that manage their own state and operations and to introduce various models that describe an object-oriented design.
Object Oriented Design
Object Oriented Design
Sudarsun Santhiappan
Más de Sudarsun Santhiappan
(13)
Challenges in Large Scale Machine Learning
Challenges in Large Scale Machine Learning
Software Patterns
Software Patterns
Search Engine Demystified
Search Engine Demystified
Distributed Computing
Distributed Computing
What it takes to be the Best IT Trainer
What it takes to be the Best IT Trainer
Using Behavioral Patterns In Treating Autistic
Using Behavioral Patterns In Treating Autistic
Topic Models Based Personalized Spam Filter
Topic Models Based Personalized Spam Filter
Latent Semantic Indexing For Information Retrieval
Latent Semantic Indexing For Information Retrieval
Audio And Video Over Internet
Audio And Video Over Internet
Practical Network Security
Practical Network Security
How To Do A Project
How To Do A Project
Ontology
Ontology
Object Oriented Design
Object Oriented Design
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Toxicokinetics studies.. (toxicokinetics evaluation in preclinical studies)
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