The document demonstrates various graphics functions in R, including demo(), hist(), plot(), text(), and functions for principal component analysis like prcomp(). It shows examples of creating histograms, scatter plots, and plotting the results of k-means clustering and PCA dimension reduction. The final sections discuss options for saving and exporting graphs to file formats like PDF.
The document discusses issues and pitfalls with using publicly available RNA-seq data. It was presented by Mikael Huss from the SciLifeLab and Stockholm University at RNA-Seq Europe in Basel. Huss works with a team of bioinformaticians at SciLifeLab to analyze new sequencing data and put it into context with existing information to ensure the data makes sense. The presentation addresses how to evaluate RNA-seq data quality and compare it to array data.
Will data scientists lead the discovery of cancer therapeutics?Laura Berry
Presented at the Global Pharma R&D Informatics Congress. To find out more, visit:
www.global-engage.com
The rapidly decreasing cost of molecular measurement technologies not only enables the profiling of disease samples but also the cellular signatures of individual drugs in clinically relevant models. In this presentation, Bin Chen from the University of California San Francisco, proposes a systems-approach to identifying drugs that reverse the molecular state of a disease.
The document discusses the history and growth of major technology companies from Google, Facebook, Amazon, and Microsoft (GAFA(M)). It notes that in 2018, the total market capitalization of the GAFA(M) companies reached over $3 trillion, which is equivalent to the GDP of many countries. The document also mentions emerging technologies like the Internet of Things (IoT) and 5G networks that will continue to influence the technology industry going forward.
The document describes the four phases of the innovation process and how they align with different people involved at each stage. The four phases are: discovering, incubating, accelerating, and scaling. In the discovering phase, ideas are found, then 100 are selected in incubating. In accelerating, 10 ideas are piloted and 3 are launched. In scaling, the goal is for 1 idea to succeed. The document also outlines 5 stages people go through in response to a crisis: indifference, denial/rejection, blame, confronting reality, and finally unity.
Bin Chen from Michigan State University presented research on using big data analysis to discover new cancer therapeutics. The analysis involved encoding tumor and normal tissue samples from TCGA and GTEx into vectors to learn representations that can distinguish between the two groups. Evaluation on multiple tissue sites showed the method could accurately classify samples by site of origin. This points to a new approach for cancer therapeutic discovery by analyzing large multi-omics datasets to learn biological signatures that differentiate healthy and diseased states.
This document proposes a new approach called "nudging" for solving semi-Markov decision processes (SMDPs) that maximizes the ratio of average reward to average cost. It involves formulating the problem with adjusted rewards equal to the original rewards minus the average cost times a factor, and then using reinforcement learning algorithms to find an optimal policy for this adjusted reward formulation. The approach is shown to improve upon the traditional approach of directly maximizing average reward.
Warum muss Software weiterentwickelt werden? Was sind die Herausforderungen eines Modernisierungsprojektes? Was sind Vorteil und Nutzen der modellbasierten Migration?
The document appears to be an advertisement for a lighting fixture called Sunglow. It includes details about the fixture such as:
- It comes in 5 colors with 11 gems
- The fixture has dimensions of 36cm width, 53cm height, and 92cm length
- There are diagrams showing the layout of lights/gems on the fixture in a 5x5 grid
Entwicklungen in Spielen als Innovationstreiber für UsabilityMichael Jendryschik
Die Geschichte der Spieleentwicklung zeigt sehr kurze Innovationszyklen im Bereich von Usability und HMI, sowohl im Hard- als auch im Softwarebereich. Von diesen Entwicklungen können auch industrielle HMI-Konzepte profitieren: „Game inspired HMI Design“ steigert unter anderem die Individualisierbarkeit und die Lernförderlichkeit von HMIs und damit die Motivation und Arbeitsqualität der Nutzer.
Entwicklung in Spielen als Innovationstreiber für Usabilityitemis AG
This document discusses how developments in video games can drive innovation in usability concepts. It provides examples of hardware innovations like virtual reality robots and software innovations like improved tutorials and help features. The document argues that principles which increase motivation and learning in games, such as feedback, progression, and challenges, can also make software, training, and other digital experiences more engaging and effective. It aims to show how an understanding of gaming principles can lead to more user-friendly and intuitive designs.
The document is composed of a repeating pattern of dots and blank spaces. It does not contain any words, numbers or discernible symbols. Therefore, the document does not convey any clear information or meaning in its presented form.
Gemeinsam kreativ für bessere Software - Vortragsreihe Dortmunditemis AG
The document discusses creative methods for developing usable software. It provides an overview of an event hosted by itemis AG on creative methods for software development. It defines creativity and discusses how iterative exploration and teamwork can promote creativity in software development. Specific creative techniques like affinity diagramming and paper prototyping are presented. The goal is to show how creativity can be applied systematically and learnably to software engineering processes.
1. The document analyzes differences in preferences for residential locations based on socioeconomic variables and lifestyle characteristics.
2. It identifies various population segments or "milieus" that tend to prefer certain neighborhood characteristics over others, such as proximity to parks or public transportation.
3. Statistical analysis is applied to survey data to understand how preferences are related to attributes like income, education, age, and interests in order to better match consumers with suitable residential properties and locations.
Advanced Procedural Rendering in DirectX11 - CEDEC 2012 smashflt
The CEDEC version of Advanced Procedural Rendering in DirectX11.
Some sections shortened for time slot / translation. New material added about GPU raytracing and order independent transparency.
A Large-Scale Study of Test Coverage Evolutionjon_bell
While it is common for projects to measure what percentage of their statements are executed by tests, this single number is woefully inadequate at providing a detailed understanding of the extent to which a project’s code is tested, if there are gaps in the tests, and if these tests are useful in any meaningful way. For instance, seemingly simple changes in one part of the codebase may reduce the efficacy of existing tests that seem otherwise unrelated.
Code coverage can be useful to track long-term trends in how tested a project is, but on a day-to-day basis, can’t serve as an indicator for the change in test suite quality. In particular, moving the coverage needle even 0.01% can be extremely difficult in a project with millions of lines of code. At such a large scale, focus often drifts from which lines of code are covered to simply the number of lines covered. However, a change in the coverage of several hundred critical lines of code might be important for developers to take notice of. Over time, these small changes to which lines are covered add up to form a coverage debt, and can lead to a dangerous reduction in test suite effectiveness.
We are building tools and techniques to help every developer track and manage their coverage debt, easily answering questions like: Which lines are no longer covered, even though I didn’t change them? Which lines are non-deterministically covered, perhaps indicative of flaky tests? By answering these questions with hard data, we can provide developers with a rich understanding of the impact of their actions on test suite effectiveness.
PERSONAL DEVELOPMENT CENTERS & THOUGHT LEADERS - brand research foxtheory
1. Wellness Center Trends
2. Wellness Centers Around The World - SWOT Analysis
- Sivananda Ashram, Bahamas
- Como, Bali
- Maya, Tulum
- Omega Institute
- Canyon Ranch
- Aqua Wellness
- Asclepios
- Hotel Adler Thermae
- Sanctuary Retreat
- Haramara Retreat
Esalen
- San Ysidro Ranch
- Golden Door
- Aro Ha
- California Health
- Les Passeros
- Shreyas Retreat
3. New Education Systems
- Singularity University
- General Assembly
- AltMBA
4. Books
- 7 Habits of Highly Successful People
- How to Win Friends and influence people
- Untethered Soul
- The Obstacle is the way
- The One Thing
- Miracle Morning
- Hard Thing about Hard Things
- High Input Management
5. Forbes Top 10 Self Development Authors
6. Self-Development Websites and Podcasts
- Tim Ferriss Show
- MeaningfulMovement.com
7. Communities and Virtual Networks
- BurningMan
- Reddit
- WeWork
- Meetup.com
- Facebook
- Linkedin
8. Spiritual Leaders and Gurus
- Deepak Chopra
- Tony Robbins
- Stephen Covey
- Dale Carnegie
- Wayne Dyer
- Wunderlist
- Trello
- Nirvana
- Headspace
- Calm
- Pacifica
- ToDoist
10. Self Improvement Leaders and Seminars
- Tony Robbins
- Deepak Chopra
- Landmark Forum
- Jack Canfield
- Darren Hardy
- Maria Forleo
- Brendon Burchard
11. Concluding Thoughts
9. Life Management & Wellness Apps
- Evernote
- Charity Miles
- Wunderlist
- Trello
- Nirvana
- Headspace
- Calm
- Pacifica
- ToDoist
10. Self Improvement Leaders and Seminars
- Tony Robbins
- Deepak Chopra
- Landmark Forum
- Jack Canfield
- Darren Hardy
- Maria Forleo
- Brendon Burchard
11. Concluding Thoughts
The document discusses analyzing NBA shooting data from the 2008-2009 season to determine the most accurate shooters. It uses R and packages like plyr and ggplot2 to calculate shooting percentages for players and teams, then creates graphs to visualize the results. The highest percentages belong to players like Eddy Curry, Steven Hill, and Marcus Williams who all shot 100% on 1-2 attempts for the season.
What it Means to be a Next-Generation Managed Service ProviderDatadog
- The webinar will last 60 minutes with Q&A at the end. Questions should be asked via the chat panel and participants should keep their lines muted. The webinar will be recorded.
- John Gray from Datadog, Thomas Robinson from AWS, and Patrick Hannah from CloudHesive will present on monitoring tools and strategies across cloud infrastructure and the AWS Managed Service Provider program.
- Next-generation managed service providers need comprehensive monitoring across customers' infrastructure to quickly resolve issues, improve efficiency, and provide value. Tools like Datadog allow for unified monitoring across platforms and environments.
Lifting the Blinds: Monitoring Windows Server 2012Datadog
Operating systems monitor resources continuously in order to effectively schedule processes.
In this webinar, Evan Mouzakitis (Datadog) discusses how to get operational data from Windows Server 2012 using a variety of native tools.
Monitoring kubernetes across data center and cloudDatadog
This document summarizes a presentation about monitoring Kubernetes clusters across data centers and cloud platforms using Datadog. It discusses how Kubernetes provides container-centric infrastructure and flexibility for hybrid cloud deployments. It also describes how monitoring works in Google Container Engine using cAdvisor, Heapster, and Stackdriver. Finally, it discusses how Datadog and Tectonic can be used to extend Kubernetes monitoring capabilities for enterprises.
A granular look into The Do's and Don't of Post Incident Analysis, featuring Jason Hand - DevOps Evangelist - from VictorOps and Jason Yee - Technical Writer/Evangelist - from Datadog.
Topics include a breakdown of the process in the following order:
- Service disruptions
- Detection
- Diagnosis
- Post-incident analysis
- Framework
Go through the result of our latest large-scale study about Docker usage in real environment. Analyze and see the impact for operations and monitoring.
PyData NYC 2015 - Automatically Detecting Outliers with Datadog Datadog
Monitoring even a modestly-sized systems infrastructure quickly becomes untenable without automated alerting. For many metrics it is nontrivial to define ahead of time what constitutes “normal” versus “abnormal” values. This is especially true for metrics whose baseline value fluctuates over time. To make this problem more tractable, Datadog provides outlier detection functionality to automatically identify any host (or group of hosts) that is behaving abnormally compared to its peers.
These slides cover the algorithms we use for outlier detection, and show how easy they are to implement using Python. This presentation also covers the lessons we've learned from using outlier detection on our own systems, along with some real-life examples on how to avoid false positives and negatives.
Learn more at www.datadoghq.com.
Monitoring Docker containers - Docker NYC Feb 2015Datadog
Alexis goals this presentation are three-fold:
1) Dive into key Docker metrics
2) Explain operational complexity. In other words I want to take what we have seen on the field and show you where the pain points will be.
3) Rethink monitoring of Docker containers. The old tricks won’t work.
Containerization (à la Docker) is increasing the elastic nature of cloud infrastructure by an order of magnitude. If you have adopted Docker, or are considering it, you are probably facing questions like:
- How many containers can you run on a given Amazon EC2 instance type?
- Which metric should you look at to measure contention?
- How do you manage fleets of containers at scale?
Datadog’s CTO, Alexis Lê-Quôc, presents the challenges and benefits of running Docker containers at scale. Alexis explains how to use quantitative performance patterns to monitor your infrastructure at the new level of magnitude and increased complexity introduced by containerization.
In this presentation, Mike walks through the philosophical shift of treating the servers that you have in-house as if they were part of a “cloud” and disposable, and then jumps into a technical demonstration of how to actually tear down and reconstruct your infrastructure at a moment’s notice.
This document summarizes a presentation about using events and metrics to manage web operations. It discusses how the presenter's company Datadog aggregates and correlates metrics and events data from multiple sources to provide visibility and insights for developers and operations teams. It describes some of the challenges of dealing with large and diverse data streams. It also covers some of the tradeoffs and techniques for managing infrastructure in both on-premise and cloud environments, particularly around networking, storage, and scaling of compute and data resources.
The Data Mullet: From all SQL to No SQL back to Some SQLDatadog
This document discusses Datadog's data architecture, which uses a combination of SQL and NoSQL databases. It initially used all SQL (Postgres) but found it did not scale well. It added Cassandra for durable storage and Redis for in-memory storage to improve performance and scalability. While Cassandra provided large-scale durable storage, it had issues with I/O latency on EC2. The document examines different database choices and how Datadog addressed scaling and latency issues through a hybrid "data mullet" approach using different databases for their strengths.
This document summarizes how information technology (IT) infrastructure and operations have changed from expensive and slow on-premise systems to cheaper and faster cloud-based systems. It notes that IT used to require renting and maintaining thousands of servers, but now services allow provisioning servers quickly and returning them just as fast. Where systems used to support small numbers of users, they now must scale to massive "web scale." Tool usage has proliferated from using just a few tools to manage dependencies to using many different monitoring and analytics tools. Delivery cycles have accelerated from biannual releases to continuous delivery. It promotes a next-generation monitoring solution to help development and operations teams address these modern cloud-era challenges through data aggregation, correlation, collaboration
Datadog is monitoring that does not suck. It's metrics friendly, people friendly and developer friendly monitoring.
Learn more at https://www.datadoghq.com/
This document summarizes a presentation about how DevOps engineers at Datadog provide customer support. Some key points discussed include:
- Datadog got customers through word-of-mouth due to the quality of their product and support provided by DevOps engineers.
- Datadog treats customers like they treat themselves by answering all questions thoroughly and making sure issues are fully resolved.
- Engineers spend a week at a time helping with customer support to continuously learn.
- Datadog uses a variety of tools like IRC, email, in-app chat, and social media to engage with customers and share information.
- Metrics like response time, resolution time, and channel volume are analyzed monthly to improve support.
The document discusses the author's interest in graphs and how they began exploring graphs after receiving an email. It then mentions Redis, memory, and alerts, along with a quote about wanting to see a graph. The rest of the document contains log messages about saving in the background being unable to allocate memory at first, but then succeeding. It emphasizes how graphs allow for correlation and joy, whereas without them there is no correlation or joy.
Best practices for monitoring your IT infrastructure using StatsD. Find dashboard examples here: https://p.datadoghq.com/sb/9b246c4ade
Monitor StatsD easily with Datadog. Learn more at https://www.datadoghq.com
Alerting: more signal, less noise, less painDatadog
Is this talk for me?
✓I am or will be on-call
✓I don’t like being alerted
✓I want the pain to go away
The next 40 minutes
1. Alerts == pain?
2. Measure alerts
3. Concrete (& fun) steps
Learn more about Datadog's infrastructure monitoring as a service at https://www.datadoghq.com.
This document discusses moving from host-centric monitoring to fact-based monitoring using Puppet facts. It argues that hosts should not be the center of the monitoring universe, but rather facts should be. Effective monitoring uses queries against existing facts and metrics to express conditions like ensuring web servers respond quickly or PostgreSQL processes are running. This mirrors how Puppet, SQL, and MCollective improved systems management by moving from imperative programming to declarative queries based on available facts and metadata.
Your configuration management is fact-based.
Your orchestration is fact-based.
Is your monitoring fact-based?
What does that even mean? Monitoring is very similar to configuration, at least in its expression. Configuration cares about files, services, and hosts being present and in a certain state (""nginx should be running with the following configuration""). Monitoring cares about services being present, running, and in a certain state. Both describe your infrastructure as it should be (""nginx should be running and respond in less than 200ms"").
Fact-based monitoring is about being able to control monitoring with the same facts that Puppet uses (""monitor nginx latency wherever Puppet says it should run""). This is in contrast with imperative monitoring (""monitor nginx on host a, b and c"") that gets out of sync and leads to mailbox meltdowns from spurious alerts.
Using open source and commercial examples, this talk will help you express your monitoring in a way that will feel very natural to your Puppet configuration.
How CXAI Toolkit uses RAG for Intelligent Q&AZilliz
Manasi will be talking about RAG and how CXAI Toolkit uses RAG for Intelligent Q&A. She will go over what sets CXAI Toolkit's Intelligent Q&A apart from other Q&A systems, and how our trusted AI layer keeps customer data safe. She will also share some current challenges being faced by the team.
Securiport Gambia is a civil aviation and intelligent immigration solutions provider founded in 2001. The company was created to address security needs unique to today’s age of advanced technology and security threats. Securiport Gambia partners with governments, coming alongside their border security to create and implement the right solutions.
IVE 2024 Short Course - Lecture 2 - Fundamentals of PerceptionMark Billinghurst
Lecture 2 from the IVE 2024 Short Course on the Psychology of XR. This lecture covers some of the Fundamentals of Percetion and Psychology that relate to XR.
The lecture was given by Mark Billinghurst on July 15th 2024 at the University of South Australia.
Flame emission spectroscopy is an instrument used to determine concentration of metal ions in sample. Flame provide energy for excitation atoms introduced into flame. It involve components like sample delivery system, burner, sample, mirror, slits, monochromator, filter, detector (photomultiplier tube and photo tube detector). There are many interference involved during analysis of sample like spectral interference, ionisation interference, chemical interference ect. It can be used for both quantitative and qualitative study, determine lead in petrol, determine alkali and alkaline earth metal, determine fertilizer requirement for soil.
Webinar: Transforming Substation Automation with Open Source SolutionsDanBrown980551
This webinar will provide an overview of open source software and tooling for digital substation automation in energy systems. The speakers will provide a brief overview of how open source collaborative development works in general, then delve into how it is driving innovation and accelerating the pace of substation automation. Examples of specific open source solutions and real-world implementations by utilities will be discussed. Participants will walk away with a better understanding of the challenges of automating substations, the ecosystem of solutions available to help, and best practices for implementing them.
Leading Bigcommerce Development Services for Online RetailersSynapseIndia
As a leading provider of Bigcommerce development services, we specialize in creating powerful, user-friendly e-commerce solutions. Our services help online retailers increase sales and improve customer satisfaction.
Project Delivery Methodology on a page with activities, deliverablesCLIVE MINCHIN
I've not found a 1 pager like this anywhere so I created it based on my experiences. This 1 pager details a waterfall style project methodology with defined phases, activities, deliverables, assumptions. There's nothing in here that conflicts with commonsense.
IT market in Israel, economic background, forecasts of 160 categories and the infrastructure and software products in those categories, professional services also. 710 vendors are ranked in 160 categories.
Multimodal Embeddings (continued) - South Bay Meetup SlidesZilliz
Frank Liu will walk through the history of embeddings and how we got to the cool embedding models used today. He'll end with a demo on how multimodal RAG is used.
6. That woke me up
That I responded to
last week
That I responded to
5 weeks ago
Top 3 failed checks
That most of my team
responded to at least once
That impacts our business
the most?
7. That woke me up
That I responded to
last week
That I responded to
5 weeks ago
Top 3 failed checks
That most of my team
responded to at least once
That impacts our business
the most?
8. At best, finding local optimums
Using memory to
prioritize remediation...
At worst, brownian motion