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2. The best 4th of July sales to shop: Deals you won't ... - AOL

   www.aol.com/lifestyle/the-best-4th-of-july-sales...

   Old Navy: Deals for just $2, $4, $6, $8 and $10 — along with 60% off super steals. Reebok: 40% off sitewide with code FAM. REI: Up to 40% off clearance picks. Saks Fifth Avenue: 60% off designer ...

3. DSW's massive summer sandals sale is here: Get an extra 20% ...

   www.aol.com/lifestyle/dsw-sandals-sale-2024...

   Crown Vintage Avera Sandal. $32 $49. Code: SIZZLE. See at DSW. See 13 more. For a short time you can get an extra 20% off of women's sandals at DSW with the code SIZZLE at checkout. You'll be able ...

4. 40 Fourth of July food deals and restaurant specials ... - AOL

   www.aol.com/news/40-fourth-july-food-deals...

   In honor of July Fourth, Omaha Steaks is offering the following deals: 50% off sitewide and free shipping for order $149+. 4th of July Grill Pack (discounted to $129.99) Summer Best Sellers Pack ...

5. List of United States cities by population - Wikipedia

   en.wikipedia.org/wiki/List_of_United_States...

   50 states and Washington, D.C. This table lists the 336 incorporated places in the United States, excluding the U.S. territories, with a population of at least 100,000 as of July 1, 2023, as estimated by the U.S. Census Bureau. Five states have no cities with populations exceeding 100,000. They are: Delaware, Maine, Vermont, West Virginia, and ...

6. 70/20/10 model (learning and development) - Wikipedia

   en.wikipedia.org/wiki/70/20/10_Model_(Learning...

   70/20/10 model (learning and development) The 70:20:10 model for learning and development (also written as 70-20-10 or 70/20/10) is a learning and development model that suggests a proportional breakdown of how people learn effectively. It is based on a survey conducted in 1996 asking nearly 200 executives to self-report how they believed they ...

7. Precision and recall - Wikipedia

   en.wikipedia.org/wiki/Precision_and_recall

   In pattern recognition, information retrieval, object detection and classification (machine learning), precision and recall are performance metrics that apply to data retrieved from a collection, corpus or sample space . Precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances.