By Kate Shoup, Allison Strine
The effortless solution to construct an internet craft enterprise from scratch
Starting an Etsy company For Dummies bargains specialist recommendation for artists and marketers trying to construct an internet craft company from scratch. You'll get priceless info on constructing your on-line store, writing compelling merchandise descriptions, photographing your paintings, attractive the Etsy neighborhood, figuring out charges, and discovering your muse whilst it takes a holiday.
In the final couple of years, the DIY circulation has transcended the big-box shops, and has taken on a brand new layout within the savvy crafting area. Etsy.com boasts an remarkable 1.9 million individuals, and there are tens of millions of craft and pastime bazaars held every year around the usa. Starting an Etsy company For Dummies exhibits you ways to create, deal with, and effectively promote hand-crafted wares, classic items, and DIY offers utilizing the world's greatest on-line hand-crafted marketplace.
• discover ways to promote your hand-crafted wares, classic items, DIY provides on-line at Etsy.com
• Create and deal with your individual profitable Etsy storefront
• item your targeted creations and force purchasers for your shop
If DIY is your area, Starting an Etsy company For Dummies promises the abilities, wisdom, and information to create a profitable enterprise that will pay.
Read or Download Starting an Etsy Business for Dummies PDF
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Example text
By scaling these I(w, d) values appropriately, one can construct an artificial cumulative distribution function I˜ over words in each document. Drawing m ∼ φ(· | d) random samples from the document according to this distribution results in a query q = q1 , . . , qm . Several such queries were generated for each document.
We’ve already seen an example: x − 1 is an auxiliary function for log x in the sense that x − 1 ≥ log x for all x. This observation might prove useful if we’re trying to establish that some function f (x) lies on or above log x: if we can show f (x) lies on or above x − 1, then we’re done, since x − 1 itself lies above log x. (Incidentally, it’s also true that log x is an auxiliary function for x − 1, albeit in the other direction). We’ll be making use of a particular type of auxiliary function: one that bounds the change in log-likelihood between two models.
14) 62 Document ranking This formula shows that the probability of the query is given as a product of terms. Yet the query term translations are not independent, due to the process of filtering out the generated list to remove duplicates. 14) will henceforth be denoted as Model 1 . Model 1 has an interpretation in terms of binomial random variables. Suppose that a word w does not belong to the query with probability β w = e−λ(d)p(w | d) . Then Model 1 amounts to flipping independent βw -biased coins to determine which set of words comprise the query [36].
