by Alfred Lee
Lead Data Scientist, White Ops
Is curiosity useful for more than serendipitous discovery? Can curiosity be taught? How do I foster curiosity in my team? Can someone be too curious? Questions!
Speech Act Theory is an important area of study in Pragmatics and Discourse Analysis. Its focus lies in describing the features of language in use. It has provided us with a framework of principles and models to explain the contextualized use of language. The presentation discusses various concepts of Speech act theory like sense and force; constatives and performatives; locution, illocution and perlocution; kinds of speech acts and felicity conditions.
This presentation tells about the ways of translating Russian Fairy tales in English and vice versa. The methods are given on real examples and famous characters and works. Enjoy it!
Speech Act Theory is an important area of study in Pragmatics and Discourse Analysis. Its focus lies in describing the features of language in use. It has provided us with a framework of principles and models to explain the contextualized use of language. The presentation discusses various concepts of Speech act theory like sense and force; constatives and performatives; locution, illocution and perlocution; kinds of speech acts and felicity conditions.
This presentation tells about the ways of translating Russian Fairy tales in English and vice versa. The methods are given on real examples and famous characters and works. Enjoy it!
Direct and Indirect Speech (Reporting and Reported Speech) Change of pronoun, change of tense and change of an adverb can be defined easily. It will help students to understand in a better way
2.Explanations of Word Meaning, Semantic Theory Ruth M. Kempson 1977Amer Al Amery
UNIVERSITY OF BABYLON
COLLEGE OF EDUCATION FOR HUMANITIES
DEPARTMENT OF ENGLISH
Semantic Theory Ruth M. Kempson 1977
2.Explanations of Word Meaning,
By
A'MER SAGHEER ALLWAN AL-A'MERY
amer.amery@Yahoo.com
https://www.facebook.com/profile.php?id=100004785700427
SUPERVISED BY
Asst. Prof. Dr. QASSIM ABBAS AlTufaili, Ph.D.
qassimdhayf@Gmail.com
https://www.facebook.com/profile.php?id=100001523273930&ref=br_rs
AD 2016 AH 1437
The present slide share is about reading . What do we mean by reading? It is the cognitive process of decoding symbols to derive meaning from text. Its components include decoding, comprehension, retention. Reading deals with its three levels- Literal understanding, Inferential understanding, Critical understanding. There are many factors that influences the acquisition of reading ability including intelligence, motivation, strategies, attitude, discrimination style, interest. Generally there are four types of reading- skimming, scanning, intensive, extensive. The methods of reading are seen as OK4R (overview, keyword, reading, recall, reflect, review).
Direct and Indirect Speech (Reporting and Reported Speech) Change of pronoun, change of tense and change of an adverb can be defined easily. It will help students to understand in a better way
2.Explanations of Word Meaning, Semantic Theory Ruth M. Kempson 1977Amer Al Amery
UNIVERSITY OF BABYLON
COLLEGE OF EDUCATION FOR HUMANITIES
DEPARTMENT OF ENGLISH
Semantic Theory Ruth M. Kempson 1977
2.Explanations of Word Meaning,
By
A'MER SAGHEER ALLWAN AL-A'MERY
amer.amery@Yahoo.com
https://www.facebook.com/profile.php?id=100004785700427
SUPERVISED BY
Asst. Prof. Dr. QASSIM ABBAS AlTufaili, Ph.D.
qassimdhayf@Gmail.com
https://www.facebook.com/profile.php?id=100001523273930&ref=br_rs
AD 2016 AH 1437
The present slide share is about reading . What do we mean by reading? It is the cognitive process of decoding symbols to derive meaning from text. Its components include decoding, comprehension, retention. Reading deals with its three levels- Literal understanding, Inferential understanding, Critical understanding. There are many factors that influences the acquisition of reading ability including intelligence, motivation, strategies, attitude, discrimination style, interest. Generally there are four types of reading- skimming, scanning, intensive, extensive. The methods of reading are seen as OK4R (overview, keyword, reading, recall, reflect, review).
Learning Curve: How College Graduates Solve Information Problems in the Workp...Michele Van Hoeck
Findings and recommendations from 2012 Project Information Literacy national study of workplace information literacy. Presented at the 2013 California Conference on Library Instruction.
Information seeking behavior of national minorities’ secondary school student...LBB JSS
Internet in Latvia (a country in the Baltic region) became available for the wider public in the beginning of the 21st century. Online news, reference type information and social networks are everyday life necessities of modern individuals in Latvia. Current Latvian schoolchildren were born and raised in the Internet era, and these children are potential researchers. That is why it is so important to understand how modern schoolchildren conduct complex information searching processes for research purposes, what skills they possess, what problems they face and if they use library products and services. The case study was made in April, 2012 with the purpose of determining national minority secondary school students’ information seeking behaviour during the scientific research process: what information channels and resources they use and in what language this information is. Carol Collier Kuhlthau’s model of Information Search Process was chosen as a theoretical framework for this study. Complete study includes the results of six interviews with the schoolchildren who are doing their research on different IT topics and the results of the questionnaire completed by 119 secondary school students who did their research projects on different topics. This case study consists of the key findings from the interviews, and these interviews have revealed that schoolchildren pay great attention to the information search process.
Full paper: http://library.ifla.org/69/
So some scientists mapped thousands of brain cells....why should you care? Rachel and Jenny tell the crazy cool stories behind the complicated science of the Allen Institute. In this session, you’ll learn marketing, communications, and SEO tips to promote complex topics to your audience. From building relationships with subject matter experts to finding surprising angles that make technical topics approachable, you’ll walk away with new ideas to make any tricky topic shine and to grow your audience beyond just the experts.
Dismissive Reviews, Citation Cartels, and the Replication Crisis.pptxRichard P Phelps
This interdisciplinary theme of the Conference addresses two of the very serious and controversial challenges of modern-day research, namely dismissive reviews (unsupported declarations of scholars declaring no previous research exists on certain topics, despite evidence of the contrary) and „citation cartels” (groups of scholars who agree to cite each others’ work and none of the other available literature). These practices have a considerable impact in the quality and ethical
aspects of research, and are also reflected in the replicability crisis.
The History Of Science In Science Education: Inquiring about InquiryJerrid Kruse
This powerpoint was used at a National Science Teacher Association meeting. The history of science can be used to help students understand more deeply how science works, or the nature of science. The presentation also discusses aspects of the nature of science and inquiry teaching. The presentation also notes the vital role of the teacher more "pulling it all off".
Lecture 1 in the Research Methods series.
See also notes for the Research Methods series: http://www.slideshare.net/lenallis/research-methods-lectures-notes
This lecture series aims to cover the basics of research methods for undergraduate students. By the end of the series students should understand:
-Why research is important
-How to identify good and bad sources of information
-How read critically
-How to write clearly
-Quantitative and Qualitative research
-The basics of experimental method
The overall point should be for students to take the activity of research seriously, but also to be motivated to go and conduct research and engage critically with material.
A session about the scientific research, how to conduct a research, what are the standards of ethics conducted in research and so on, the session was a part of an event made in Alexandria Engineers syndicate for high school students by E-web team.
I was one of the instructors of Egypt Scholars AUSC team
Byron John - An Intro to his Innovation ProgrammeByron John
An Innovation Programme designed by Byron John.
This is the introductory portion of the programme.
This framework unpacks the issues of:
(i) How our brains work, how we think
(ii) Creativity and the myths surrounding it
(iii) Innovation and the link between creativity and innovation
(iv) A peak at the Innovation Process
A talk to beginning graduate students. Why do you study? Role of research? What do graduate degrees signify? And a Magic Spell to help with (almost) everything...
This is Part 1, Part 2 discusses Science and how to do it.
This lecture talks about the importance of evidence in scientific, business, and innovation research. It lists down important examples to carry this process in perspective of the problem statement.
What's in your workflow? Bringing data science workflows to business analysis...Domino Data Lab
While business analysis rapidly grows more data-driven, the analyst community is slow to adapt the best practices of data science workflows. Many parallels exists between data science “top topics” (e.g. reproducibility) and business pain points, but these common needs are obscured by the different “languages” of these two communities. The opportunity cost is greatest in heavily regulated industries such as finance and insurance where documentation and compliance are paramount.
In this talk, we will review our experience transitioning Capital One business analysts from legacy systems to open-source workflows by developing user-friendly tools. We incentivized business analysts to adopt the data science mindset by curating open-source tools and developing code packages which simplify workflows and eliminate pain points.
Our internal R package, tidycf, reimagines cumbersome Excel cashflow statements as dataframes and uses RMarkdown templates and the RStudio IDE for an intuitive, user-friendly experience without the overhead of maintaining a custom GUI. We tackle challenges in documentation and communication while immersing new users in the R language.
We will share best practices and lessons learned from our experience designing tools for non-technical end-users, standardizing workflows based on the RStudio IDE’s infrastructure, and evangelizing data science methods.
The Proliferation of New Database Technologies and Implications for Data Scie...Domino Data Lab
In this talk, we’ll describe NoSQL (“not-only SQL”) and document-oriented databases and the value they provide for data science companies like Uptake. We will walk through the unique challenges such datastores pose for data science workflows. To make these challenges and lessons learned concrete, we’ll explore data science workflows through a discussion of the development efforts that led to “uptasticsearch”, an R package released by the Uptake Data Science team to reduce friction in interacting with a document store called Elasticsearch. The talk will conclude with a discussion of recent developments in NoSQL technologies and implications for data scientists.
Racial Bias in Policing: an analysis of Illinois traffic stops dataDomino Data Lab
Since 2004, Illinois has collected demographic information about traffic stops conducted by police in an effort to identify racial bias. This data has been used by groups such as the ACLU and the Stanford Open Policing Project to identify key markers that infer racial bias in policing. We have applied exploratory data analysis to investigate whether systemic racial bias may appear and to what extent. This talk will walk the audience through the insights gleaned from the exploration of this data along with the challenges posed and ongoing questions raised.
Data Quality Analytics: Understanding what is in your data, before using itDomino Data Lab
Analytics and data science are ever growing fields, as business decision makers continue to use data to drive decisions. The pinnacle of these fields are the models and their accuracy/fit,; what about the data? Is your data clean, and how do you know that? Our discussion will focus on best practices for data preprocessing for analytic uses. Beginning with essential distributional checks of a dataset to a propose method for automated data validation process during ETL for transactional data.
Supporting innovation in insurance with randomized experimentationDomino Data Lab
Recent technological advances, a dynamic competitive landscape, and an evolving regulatory environment have led to a period of rapid innovation for many insurance providers. Here, we’ll explore how data scientists may use randomized experiments to rigorously assess the causal impact of innovations on business outcomes. Particular emphasis will be placed on experimentation in “offline” channels, with some of the challenges and mitigation strategies highlighted.
Leveraging Data Science in the Automotive IndustryDomino Data Lab
Cars.com Inc. is a decision engine for car buyers and a growth engine for our partners. Data Science is the bread and butter of any decision engine and Cars is no different. In this talk, I will discuss how we quantify various parameters of a car and plan to make use of all the data in hand to put predictive models at various stages of a users’ automobile lifecycle. This talk will also cater to students looking to gain knowledge on how data science is utilized at scale while still following certain processes and leading the way for business and product partners.
Summertime Analytics: Predicting E. coli and West Nile VirusDomino Data Lab
Lake Michigan and outdoor recreation are enjoyable aspects of summers in Chicago, but it can come with risk of potential E. coli in Lake Michigan or West Nile Virus from mosquitos. This summer, the City of Chicago launched two new predictive analytics projects to forecasts the risks and to proactively limit these risks. Members of the research team, Gene Leynes and Nick Lucius discuss the projects and how they’re being used as part of city operations.
Today, more than ever before, maps are being used to bring data to life. In this presentation I will demonstrate how geoviz can make data science more tangible by providing an interactive canvas for spatial data. Gregory Brunner will shows several examples of how maps are being used enhance how we communicate data and how this applies across all scales, including spatial, temporal, and size of data.
What you till learn:
GOALS - What is the bar for data science teams
PITFALLS - What are common data science struggles
DIAGNOSES - Why so many of our efforts fail to deliver value
RECOMMENDATIONS - How to address these struggles with best practices
Presented by Mac Steele
Director of Product at Domino Data Lab
Doing your first Kaggle (Python for Big Data sets)Domino Data Lab
You love python. You love Data Science. But the size of your data set keeps crashing your code. Is it time to bring in big data tools or simply code smarter? Lee is going to show you efficiency hacks, drawn from top Kaggle competitors, to get python to work on large data sets. Skip the hassle of creating a Big Data infrastructure. Let’s find out how far we can push our home laptop first.
Most of analytics modeling work today focuses on the production of single-purpose "artisanal" models for predictions. This approach to analytics is fragile with respect to model consistency, reorganization, and resource availability. This talk will argue that instead the focus of analytics modeling should be toward the production of analytics interchangeable parts, which can be combined in creative ways to produce a wide variety of analytics results. This "nuts and bolts" approach allows analytics groups to produce results in an agile way where the time between ask and answer is determined by the right combination of analytics, rather than the modeling.
How I Learned to Stop Worrying and Love Linked DataDomino Data Lab
In this presentation, Jon Loyens will share:
-Best practices for sharing context and knowledge about your data projects
-How linked data can augment your existing data science workflow and toolchain to accelerate your work
-How a social network can unlock power of Linked Data and data collaboration
-How Linked Data can help you easily combine private and Open Data for fun and profit
Although both disciplines are unique in their own ways, Software Engineering and Data Science make heavy use of programing languages to do their respective jobs. Data Science is a relatively new discipline and many of its practitioners have not previously been professional software engineers. There are a few techniques that Data Scientists can leverage from Software Engineering in order to make their tooling and environments, faster to design, more easily debugged and most importantly, clearer to read. This talk will be going over some practical tips that anyone can use to help better understand their code; give clarity around cloud environments, their uses and drawbacks and finally briefly touching on the Software Development Lifecycle.
Within marketing research, big data is often described as being “census” data for the population that it represents. The devil is in the details and when we take a closer look we can see that this isn’t the case. There are many situations that are not captured within the population that big data purports to be a census of. Big data isn’t even a census of itself since it’s not uncommon for records to be excluded either by accident during the collection process or by design in the cleaning processor. Unfortunately, our industry is so enamored with the size of big data that some users of data are willing to trade off precision for tonnage. Fortunately, if the shortcomings of big data are understood and corrected it can accurately represent the population that it measures in the correct proportion to the universe. We will discuss a method that Nielsen has developed called “Common Homes” that is designed to identify and correct the shortcomings of big data sets that represent media consumption.
Moving Data Science from an Event to A Program: Considerations in Creating Su...Domino Data Lab
The exponential growth of Big Data and Analytics has outpaced the ability of organizations to govern their data appropriately. The ability to reuse the work done by data scientists work is becoming an economic necessity. The mix of data sources is changing from tradition transactional and ERP systems to include a mix of structured, semi-structured and unstructured data. Data Governance needs to adapt to these changes. This session discusses these data changes and proposed how to adapt current data governance processes. These include, how the concept of a stakeholder has changed and the need for expansion of communications and content management. We look at need to consolidate data from disparate systems and how it governed. Lastly we will investigate how context is emerging as an important factor in governance and how it can be leveraged to provide for accurate, reliable data reuse.
Building Data Analytics pipelines in the cloud using serverless technologyDomino Data Lab
Big Data analytics is well known to uncover hidden insights that gives an organization an edge over the competition. But data does not need to be big in order to be useful. Smaller companies and startups may lack the volume of data that qualifies as big data, yet the variety of data can still yield a trove of insights that helps in driving the business strategies of a company. Startups may also lack the resources to fund an additional, seemingly expensive development project. The key is in simplicity, start small, simple and architect for scalability and performance. But how do you start? In this presentation, we share our experience in building a cost effective, AWS serverless data analytics platform that became an invaluable tool for sales, marketing and operational efficiencies.Serverless architectures simplify development work where servers and software are managed by a third party cloud provider. Developers can focus on just building the data wrangling and data analysis logic where critical aspects like scalability and high availability are guaranteed by the cloud provider. Besides, serverless services offer the pay as you go model, where you pay only based on the amount of resources you use. This turns out to be another attractive aspect where costs can be managed based on the usage. In this presentation we will focus on techniques and best practices to build a big data analytics platform using AWS serverless services like Lambda, DynamoDB, S3, Kinesis, Athena, QuickSight and Amazon ML. We will highlight the strengths of each of these services and what role each plays in the data analytics pipeline. We compare and contrast these services with some of the other popularly used big data technologies like Hadoop, Spark and Kafka. We also demonstrate the usage of these services to build intelligent components that detect anomalies, yield recommendations, simulate chat bots and generate predictive analytics.
Leveraging Open Source Automated Data Science ToolsDomino Data Lab
The data science process seeks to transform and empower organizations by finding and exploiting market inefficiencies and potentially hidden opportunities, but this is often an expensive, tedious process. However, many steps can be automated to provide a streamlined experience for data scientists. Eduardo Arino de la Rubia explores the tools being created by the open source community to free data scientists from tedium, enabling them to work on the high-value aspects of insight creation and impact validation.
The promise of the automated statistician is almost as old as statistics itself. From the creations of vast tables, which saved the labor of calculation, to modern tools which automatically mine datasets for correlations, there has been a considerable amount of advancement in this field. Eduardo compares and contrasts a number of open source tools, including TPOT and auto-sklearn for automated model generation and scikit-feature for feature generation and other aspects of the data science workflow, evaluates their results, and discusses their place in the modern data science workflow.
Along the way, Eduardo outlines the pitfalls of automated data science and applications of the “no free lunch” theorem and dives into alternate approaches, such as end-to-end deep learning, which seek to leverage massive-scale computing and architectures to handle automatic generation of features and advanced models.
by Jennifer Shin
Senior Principal Data Scientist, Nielsen
With more and more data being collected from consumers, finding a efficient solution to aligning data over time can become increasingly difficult and yet, even more necessary. Whether it's a change in the data collection process or an error in the system, working with big data requires tools that can account for real world complexities.
This talk with introduce the benefits and complexities of implementing a 'fuzzy' solution using the Levenshtein algorithm. Attendees will walk away with a high level understanding of fuzzy matching algorithms and learn how it can be effectively applied to solve real word business problem.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
16. I’m curious about….
• Art
• Philosophy
• Literature
• Dentistry
• Design, data viz
• Epistemology, statistics
• Storytelling, rhetoric
• That one weird thing that
taught you a lesson