Machine Learning Making Big Moves in Marketing


This means that ML will be applied to customer interaction data in order to find and exploit patterns in different types of user interactions that occur at different times and locations: purchase histories, emails, call center interactions, social media, website searches, previous marketing campaigns, and even location data and/or "emotion data" from wearable sensors while the customer is shopping. The number one hottest trend (where ML-based marketing is moving) is behavioral analytics, including both predictive and prescriptive analytics modeling. ML is first and foremost a set of algorithms that learn to detect and recognize patterns in data, and to learn from experience when making decisions or taking actions based on those patterns – i.e., the ML process learns (from both successes and failures, including failed models and failed classifications) how to improve over time. ML (including social network analysis and social graph mining) is now helping marketers identify the key influencers within their market domain.

Andrew Ng will help you change the world with AI if you know calculus and Python


In an attempt to make the answer to those questions "anyone who wants to," Andrew Ng is releasing a new set of courses teaching deep learning on Coursera, the online learning platform he co-founded in 2012. Coursera was originally set up to offer an online class in machine learning; deep learning is a variety of that, involving exceptionally large datasets. The original machine learning course attracted more than 2 million students, Ng tells MIT Tech Review. While Ng's new course makes it easier to learn deep learning than striking out on your own watching YouTube videos, Ng acknowledges that not everyone is equipped to take it.

How Retailers Can Make AI The Face Of Their Digital Brand


That means using it for two distinct purposes: first, helping customers find what they are looking for; second, helping them find things they don't yet know they're looking for. With an eye on these trends, leading retailers are exploring how AI can help their customers find what they need by improving reviews and providing more sophisticated recommendations on the website. As AI makes online shopping easier, customers are less likely to visit stores because they need a "commodity" product that can easily be ordered from home, such as laundry detergent, and more likely to go for the pleasure of the experience. In the coming years, as AI becomes increasingly entrenched in the everyday lives of consumers, the leading chains will use AI to win retail's ultimate prize: turning their customers into fans.


International Business Times

In an effort to curb unwanted sexual images from being sent to others, the platform announced this week its special pledge for members. People sending harassing or unwanted sexually explicit messages will be banned." A survey last year said 61 percent of women received unwanted sexually explicit images, while 40 percent said they received it more than once. Now, the question remains as to whether the pledge will actually stop users from sending unwanted sexually explicit photos.