51 Matching Annotations
  1. Mar 2019
    1. E-commerce has special requirements when it comes to showing products for sale online. A uniform look and feel to the products, showing the product rather than background, product alignment, image margins and special requirements per product category characterize e-commerce.

      We have top class designers who is expert on graphics design. We provide clipping path. background remove, image retouching service. We are also expert on eCommerce photo editing.

  2. Feb 2019
    1. }-lume who seeks to understand the operations of mind.

      In this sense, the mind is a machine, which operates in order to produce a certain product. What is this product? Knowledge? Can the product differ between people and instances?

  3. Jan 2019
    1. As an element of self-training, writing has, to use an expression that one finds in Plutarch, an ethopoietic function: it is an agent of the transformation of truth into ethos.

      This reminds me of Robert Yagelski's Writing as a Way of Being, where writing as the act, the experience, is what's valuable, not so much the product that results. The experience of writing allows a transformation of the writer.

  4. Dec 2018
    1. A small blog neighborhood hiding in plain sight.

      An even smaller neighborhood are the folks lurking in an annotation over your post, since they're disconnected from the comment roll below. Possibly an integration opportunity?

  5. Nov 2018
    1. The issue is that they are often not allowed to work as they need to.  Specifically, in so many companies, they are not truly empowered to work as they need to.
  6. Oct 2018
    1. The user's latent factors represent the preference of that user for the corresponding item's latent factors

      The higher the value of the dot product between the two, the higher the preference.

  7. Jun 2018
    1. Example1.40 (Product poset).Given posetsπP;∫andπQ;∫, we may define a posetstructure on the product setPQby settingπp;q∫  πp0;q0∫if and only ifpp0andqq0. We call this theproduct poset. This is a basic example of a more generalconstruction known as the product of categories
  8. Nov 2017
  9. Oct 2017
    1. product manager as a technical, user-focused team leader working closely with engineers and designers to guide products

      Short definition of what is a Product Manager

    1. Now, in the long run great product management usually makes the difference between winning and losing, but you have to prove it. Product management also combines elements of lots of other specialties - engineering, design, marketing, sales, business development. Product management is a weird discipline full of oddballs and rejects that never quite fit in anywhere else. For my part, I loved the technical challenges of engineering but despised the coding. I liked solving problems, but I hated having other people tell me what to do. I wanted to be a part of the strategic decisions, I wanted to own the product. Marketing appealed to my creativity, but I knew I’d dislike being too far away from the technology. Engineers respected me, but knew my heart was elsewhere and generally thought I was too “marketing-ish.” People like me naturally gravitate to product management.

      This describes me! This is me! This is why I am a Product Manager.

  10. Aug 2017
    1. Research debt is the accumulation of missing interpretive labor. It’s extremely natural for young ideas to go through a stage of debt, like early prototypes in engineering. The problem is that we often stop at that point. Young ideas aren’t ending points for us to put in a paper and abandon. When we let things stop there the debt piles up. It becomes harder to understand and build on each other’s work and the field fragments.
  11. Mar 2017
    1. Now that you have your component hierarchy, it's time to implement your app. The easiest way is to build a version that takes your data model and renders the UI but has no interactivity. It's best to decouple these processes because building a static version requires a lot of typing and no thinking, and adding interactivity requires a lot of thinking and not a lot of typing.
    2. You can build top-down or bottom-up. That is, you can either start with building the components higher up in the hierarchy (i.e. starting with FilterableProductTable) or with the ones lower in it (ProductRow). In simpler examples, it's usually easier to go top-down, and on larger projects, it's easier to go bottom-up and write tests as you build.
    3. To build a static version of your app that renders your data model, you'll want to build components that reuse other components and pass data using props. props are a way of passing data from parent to child. If you're familiar with the concept of state, don't use state at all to build this static version. State is reserved only for interactivity, that is, data that changes over time.
    4. Since you're often displaying a JSON data model to a user, you'll find that if your model was built correctly, your UI (and therefore your component structure) will map nicely. That's because UI and data models tend to adhere to the same information architecture, which means the work of separating your UI into components is often trivial. Just break it up into components that represent exactly one piece of your data model.
  12. Jan 2017
    1. Its results endure longer too
    2. Bob gained 20 pounds of new muscle, with no increase in body fat!
    3. By dramatic, I mean bodybuilders will double their rate of muscle growth in a little as six to eight weeks! And they can add 1 to 3 inches to their arms--an amazing amount of pure muscle to their legs and calves--even if they thought they had already "maxed" out.
    4. The Bulgarians have developed and perfected a much higher-level training approach that produces results I had a hard time believing were possible.
    5. dramatic improvements in their own results
    6. The approach you're probably using to train with could be improved by nearly 70%!
  13. Nov 2016
  14. Oct 2016
    1. Outside of the classroom, universities can use connected devices to monitor their students, staff, and resources and equipment at a reduced operating cost, which saves everyone money.
  15. Sep 2016
    1. it’s productive to not only think of schools and colleges as sites of learning, but also as marketplaces where goods, knowledge, and services are consumed and produced

      Agreed that it’s productive. But isn’t it also about framing (formal/institutional) education in purely economic terms? Useful to think about goods and services which have exchange value. May be a bit too easy to slip into the implicit idea that a learner is among the system’s key products.

    2. frame the purposes and value of education in purely economic terms

      Sign of the times? One part is about economics as the discipline of decision-making. Economists often claim that their work is about any risk/benefit analysis and isn’t purely about money. But the whole thing is still about “resources” or “exchange value”, in one way or another. So, it could be undue influence from this way of thinking. A second part is that, as this piece made clear at the onset, “education is big business”. In some ways, “education” is mostly a term for a sector or market. Schooling, Higher Education, Teaching, and Learning are all related. Corporate training may not belong to the same sector even though many of the aforementioned EdTech players bet big on this. So there’s a logic to focus on the money involved in “education”. Has little to do with learning experiences, but it’s an entrenched system.

      Finally, there’s something about efficiency, regardless of effectiveness. It’s somewhat related to economics, but it’s often at a much shallower level. The kind of “your tax dollars at work” thinking which is so common in the United States. “It’s the economy, silly!”

    1. often private companies whose technologies power the systems universities use for predictive analytics and adaptive courseware
    2. the use of data in scholarly research about student learning; the use of data in systems like the admissions process or predictive-analytics programs that colleges use to spot students who should be referred to an academic counselor; and the ways colleges should treat nontraditional transcript data, alternative credentials, and other forms of documentation about students’ activities, such as badges, that recognize them for nonacademic skills.

      Useful breakdown. Research, predictive models, and recognition are quite distinct from one another and the approaches to data that they imply are quite different. In a way, the “personalized learning” model at the core of the second topic is close to the Big Data attitude (collect all the things and sense will come through eventually) with corresponding ethical problems. Through projects vary greatly, research has a much more solid base in both ethics and epistemology than the kind of Big Data approach used by technocentric outlets. The part about recognition, though, opens the most interesting door. Microcredentials and badges are a part of a broader picture. The data shared in those cases need not be so comprehensive and learners have a lot of agency in the matter. In fact, when then-Ashoka Charles Tsai interviewed Mozilla executive director Mark Surman about badges, the message was quite clear: badges are a way to rethink education as a learner-driven “create your own path” adventure. The contrast between the three models reveals a lot. From the abstract world of research, to the top-down models of Minority Report-style predictive educating, all the way to a form of heutagogy. Lots to chew on.

  16. Jul 2016
    1. It starts by rejecting the canard that a university education is just another commodity.
    2. There are outputs, such as graduates, increased social mobility and higher standards of living.
    3. Don't turn students into consumers – the US proves it's a recipe for disaster
  17. Jun 2016
    1. You feel like you're engaged in enjoyable play when your thinking has the right level of ambiguity and uncertainty FOR YOU

      Play is haptic. It has a feel. And that feel is very idiosyncratic (and not customizable).

  18. Apr 2016
  19. Mar 2016
  20. arxiv.org arxiv.org
    1. Letβ:V×V→Wbe a symmetric bilinear form whereVand (W,h,i) arereal vector spaces of finite dimensionnandp, respectively, equipped withinner products.Thes-nullityνsofβfor any integer 1≤s≤pis defined byνs= maxUs⊂Wdim{x∈V:βUs(x, y) = 0 for ally∈V}.HereβUs=πUs◦βwhereUsis anys-dimensional subspace ofWandπUs:W→Usdenotes the orthogonal projection.LetR:V×V×V×V→Rbe the multilinear map with the algebraicproperties of the curvature tensor defined byR(x, y, z, w) =hβ(x, w), β(y, z)i − hβ(x, z), β(y, w)i.Lemma 4.Assume that2p < nandνs< n−2sfor all1≤s≤p. LetV=V1⊕V2be an orthogonal splitting such thatR(x, y, z, u) =R(x, y, u, v) =R(x, u, v, w) = 0for anyx, y, z∈V1andu, v, w∈V2. Then,S=span{β(x, y) :x∈V1andy∈V2}= 0.
    1. second fundamental_form h satisfies h(TpL,xTpLj =0 forallp E M

      Para o nosso caso, assumir essa hipótese com respeito a decomposição do espaço tangente ao longo do bordo.

  21. Feb 2016
    1. because of feelings of belonging and obligation to the community.
    2. “lurkers” who passively consume content.

      More via/direct linking on social media will allow this type of behavior.

    3. Content organization refers to features that require little effort from the user and that help fellow users receive useful information about the content. These features include the “like” button and options such as ratings (star ratings or a numerical scale) or tagging content with user-suggested keywords.

      Hypothes.is lacks this first step in the ladder. We don't have a like button. Tagging doesn't seem as easy as it could be.

      Maybe when we rethink page level notes, we might prioritize calling user to action there: tag the text; maybe offer a broad statement/description.

    4. if we were to ask people whether clicking on a “like” button next to a short video clip is identical to leaving a detailed comment, the answer would probably be a clear “no.”

      Sequencing calls to action from liking to commenting.

    5. Social activity on a website can increase users’ commitment to the site and willingness to pay for its services.

      So social engagement increases brand loyalty.

      Seems like that could be a key to Medium's success.

    6. When the tasks that users were prompted to engage in were not presented in increasing order of effort level, users tended to donate and participate less than when tasks were ordered that way.

      Awareness of a user's lifecycle from exploring to adoption to megauser is key.

    7. “calls to action,” issued at different points in time
  22. Dec 2015
  23. Mar 2015
    1. an objective set for the Sprint that can be met through the implementation of Product Backlog. It provides guidance to the Development Team on why it is building the Increment. It is created during the Sprint Planning meeting. The Sprint Goal gives the Development Team some flexibility regarding the functionality implemented within the Sprint. The selected Product Backlog items deliver one coherent function, which can be the Sprint Goal. The Sprint Goal can be any other coherence that causes the Development Team to work together rather than on separate initiatives.

      an objective set for the Sprint that can be met through the implementation of Product Backlog. It provides guidance to the Development Team on why it is building the Increment. It is created during the Sprint Planning meeting. The Sprint Goal gives the Development Team some flexibility regarding the functionality implemented within the Sprint. The selected Product Backlog items deliver one coherent function, which can be the Sprint Goal. The Sprint Goal can be any other coherence that causes the Development Team to work together rather than on separate initiatives.

  24. Aug 2013
    1. Flash messages (#233) Static asset build script (#161) Finish registration form flow (#159) Separate detail and bucket views (#162)

      the road map on hypothes.is