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Articles related to "target"


Why & How to use the Naive Bayes algorithms in a regulated industry with sklearn | Python + code

  • In a short answer, because Naive Bayes is simple, extremely fast, provides good results, is easy to implement in an IT production, is well suited when the training set does not fit in memory and is easy to explain in a regulatory industry.
  • Despite its naive assumption it provides good results for classification because if we consider a loss function such as the zero-one loss, it does not penalize an inaccurate probability estimation as long as the maximum a posteriori’s probability is assigned to the correct class.
  • As a result the posterior probabilities for “buy more than $X” (ctgrclPbuymore) & “buy less than $X” (ctgrclPbuyless) for the observation 0 of two_obs_test are respectively 0.9886380451862543 and 0.01136195481374564.
  • For the denominator, Ny represents the overall sum of all the values in the database for the class y + alpha to be multiplied by n which represents the number of features used (without the target).

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Curio Wellness launches $30M fund to help women and minorities own a cannabis dispensary

  • The new fund, started by the Maryland-based medical cannabis company Curio Wellness, aims to help underserved entrepreneurs entering the cannabis market.
  • With $30 million to invest, the Curio WMBE Fund is looking to invest in up to 50 women, minority and disabled veterans seeking to open and operate a Curio Wellness franchise with a path to 100% ownership in three years.
  • While a legally separate but affiliated entity from Curio Wellness, the Curio WMBE Fund aims to give franchisees access to Curio’s secret sauce.
  • The first provides capital to franchisees to open their Curio Wellness Center and assist them in obtaining licenses, selecting a location and hiring and training employees.
  • Once the location is operational, the fund intends to provide ongoing support around managing, sales and marketing, store operations, and ensuring employees stay updated on product information.

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Black Friday Was a Bust for Many Stores, Better for Online

  • Americans went online to purchase holiday gifts and score Black Friday deals they once crowded into malls to grab, as the coronavirus pandemic accelerated the yearslong remaking of the U.S. retail landscape.
  • Roughly half as many people visited stores on Black Friday as they did last year, according to research firms that track foot traffic.
  • Meanwhile, online spending jumped 22% from a year ago, making it the second best day ever measured by Adobe Analytics.

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A better Kubernetes from the ground up

  • If you change a pod definition, it’s still mostly fine to terminate the container and restart it with a new configuration.
  • Sticking at the pod layer for a bit longer: now that they’re mutable, the next obvious thing I want is rollbacks.
  • The key thing to notice here is that the complexity has been shifted from the designer of the control loop to the cluster operator.
  • It does need some adjusting to this new world, but roughly: control loops must declare their dependencies on other control loops, must produce structured logs such that I can trivially search for “all control loop activity regarding pod X”, and the orchestration system handles lifecycle events like systemd handles switching to a new target unit.
  • Now your Ceph control loop schedules itself to run before the “storage” target, since it’s responsible for bringing up the storage.

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Black Friday Deals Become Tamer, as Covid-19 Alters Sales Strategies

  • Clothing retailers have less stuff to sell this Black Friday, and that is translating into higher prices for consumers.
  • Brands from Ralph Lauren to Abercrombie & Fitch scaled back discounts heading into the holiday season, a departure from past years when supply gluts led to rampant pre-Christmas markdowns.
  • As U.S. department stores and other...

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‘AC Valhalla’ patch brings a performance mode toggle to PS5 and Xbox Series X/S

  • It comes with a host of improvements, but the most notable addition is a new setting that allows you to choose between performance and quality presets on the PlayStation 5, Xbox Series X and Series S.
  • When you pick the performance setting, your new console will try to consistently render the game at 60 frames per second while dynamically adjusting the resolution and other graphical settings.
  • Worth noting here is that the game had performance and quality presets already, but you couldn’t set them yourself.
  • Ubisoft says the update also tweaks the Series X and Series S versions of the game to improve overall performance, including the screen tearing that’s been an issue on those consoles.
  • If you’ve had a chance to play Assassin’s Creed Valhalla, you’ll know it’s a buggy game in its current state.

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Predicting Mobile Financial Service Adoption with Machine Learning

  • This is an example of multi-class classification where the task involves using an algorithm to induce a mapping function between a given set of input features and a categorical target variable that takes on more than two values.
  • Individuals in the ‘No_financial_services’ and ‘Other_only’ categories tend to live further away from mobile money agents than ‘Mm_plus’ and ‘Mm_only’.
  • When classes are not linearly separable SVMs use kernel functions to map the original input space into a higher dimensional feature space in which to search for an optimal decision boundary.
  • The goal of this post was to provide an end-to-end view of how we can use supervised learning to refine customer targeting and cross-selling strategies for mobile network operators and financial service providers.
  • Support Vector Machines, Logistic Regression and Random Forests each showed promising results in the task of classifying individuals into mutually exclusive categories representing varying levels of financial inclusion.

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