As innovation continues to come up trumps in this new age of business, bots have become more ubiquitous as businesses of all sizes can incorporate them into their operations. They play various roles, such as automating tasks and processes and freeing employees…
A central goal of recommender systems is to select items according to the “preferences” of their users. “Preferences” is a complicated word that has been used across many disciplines to mean, roughly, “what people want.” In practice, most recommenders instead optimize for engagement. This has…
For further information on artificial intelligence, first AI story. In this story, I will walk you through a complete coding example of a machine learning application. This application will be for an online music store that needs a reliable way to predict what…
We sometimes wonder: if we let an AI curate this newsletter, would it land on the same picks as TDS’s 100% human team? Would it rely on views, claps, and social shares, or could it somehow detect an article’s less effable qualities—a…
Artificial Intelligence has the potential to revolutionize the social visibility of brands, paving the way for more incisive approaches towards marketing. The huge potential of AI in social media has led to Markets and Markets forecasting that the industry of deep learning, machine learning…
Perhaps you’ve heard it, or read about it, or both. The data scientist is dying and there is little we can do to hold on to our cushy salaries, rock-star-like images, and inflated egos. Obviously, I am overstating things here for dramatic…
To get insight into the skill sets required to create AI and machine learning (ML) models, it’s useful to get a sense of the model creation process, which is the gradual learning done by ML software, and the challenges faced to produce…
Comet announced the results of its recent survey of machine learning professionals. Hundreds of enterprise ML practitioners were asked about their experiences and the factors that affected their teams’ ability to deliver the level of business value their organizations expected from ML initiatives….
Before it grew into one of the most popular platforms for providing personalized streaming audio experiences for consumers, in 2008 Spotify started to incorporate machine learning into its business model. Consumers using the platform during the early stages of Spotify mainly curated…
Generalization and Regularization are two often terms that have the most significant role when you aim to build a robust machine learning model. The one-term refers to the model behaviour and another term is responsible for enhancing the model performance. In a straightforward way,…
