Discover how to use Python--and some essential machine learning concepts--to build programs that can make recommendations. She helps you learn the concepts behind how recommendation systems work by taking you through a series of examples and exercises. Once you're familiar with the underlying concepts, Lillian explains how to apply statistical and machine learning methods to construct your own recommenders. She demonstrates how to build a popularity-based recommender using the Pandas library, how to recommend similar items based on correlation, and how to deploy various machine learning algorithms to make recommendations. At the end of the course, she shows how to evaluate which recommender performed the best.
Nearly two dozen companies are representing Minnesota in the 2018 CES (Consumer Electronics Show) in Las Vegas, which began Tuesday and wraps tomorrow, January 12. Featuring Ford President and CEO Jim Hackett as the keynote speaker, the event drew more than 170,000 attendees, with 3,900-plus participating exhibitors representing more than 150 countries. Here's a list of the 23 Minnesota companies at CES – whose products range in purpose from education and amusement, to well-being, practicality and more: Digi International – One of two featured Minnesota companies, this Minnetonka-based purveyor of machine-to-machine and Internet of Things solutions is giving CES time to two of their device development kits, the DigiConnect Core and the Digi XBee. Comply – The second featured Minnesota participant is based in Oakdale and specializes in headphone products. At CES, the company is highlighting its customizable, body heat-oriented memory foam headphones, called Comply Foam Tips. Mindwatts – The Eden Prairie-based company specializes in innovative products geared toward STEM education.
The energy firms named in the suit include Apache Louisiana Minerals LLC, based in Houston; Aspect Energy, LLC, based in Denver, Colorado; Chaparral Energy L.L.C., based in Oklahoma City; Chevron U.S.A. Inc., based in San Ramon, California; Collins Pipeline Company, based in Houston; Entergy New Orleans and its predecessor companies; EOG Resources Inc., based in Houston, which is a successor company to Florida Exploration Company and Coastal Production Company; ExxonMobil Pipeline Company, based in Spring, Texas; Gulf South Pipeline Company, LP, based in Houston; Southern Natural Gas Company, L.L.C., based in Houston; and Whiting Oil and Gas Corporation, based in Denver.
In this article, I use the Kaggle Netflix prize data  to demonstrate how to use model-based collaborative filtering method to build a recommender system in Python. Recommender systems are widely used in product recommendations such as recommendations of music, movies, books, news, research articles, restaurants, etc. . The collaborative filtering method  predicts (filters) the interests of a user on a product by collecting preferences information from many other users (collaborating). The assumption behind the collaborative filtering method is that if a person P1 has the same opinion as another person P2 on an issue, P1 is more likely to share P2's opinion on a different issue than that of a randomly chosen person . Content-based filtering method  utilizes product features/attributes to recommend other products similar to what the user likes, based on other users' previous actions or explicit feedback such as rating on products.
With the growing popularity of vegan and plant-based diets, it becomes increasingly important to understand the major distinctions between the two. Here are the key diet differences that you should know about. If you've been reaching for fruits and vegetables in favor of meat and dairy during the COVID-19 pandemic, you're far from alone. A recent survey of 2,000 Americans found that more than half (57%) are eating fewer animal products since the pandemic began. WHAT IS THE DIFFERENCE BETWEEN PLANT-BASED AND VEGAN?