The "ASTRA" AI model will accelerate housing sales by studying the customer behaviour data. Read all about this AI model that will change the scenario of housing sales.

Could AI, at any point, become smarter than us or is its existence solely dependant on the cognitive abilities and native intelligence of humans?

In this post, we will revisit the scores of the models after including the string data, which will help us in determining the values in these strings that the algorithms would enjoy.

Netflix uses a highly sophisticated recommendation engine. Together, Netflix and AI help produce customized movie or web show recommendations.

Text mining is a multidisciplinary topic that combines computational linguistics and natural language processing for extracting non-trivial information from unstructured textual input using text mining algorithms.

In the next years, the usage of chatbots for business is anticipated to grow. Read about the eight most innovative chatbots available on the web.

Deep Learning and Artificial Intelligence are developing technologies to increase video content and user quality of experience. Content-aware AI has the potential to significantly enhance the viewing experience by making it more personalized, interactive, and novel.

AI algorithms can flag the content even before 10 views are completed. Although, are algorithms really the solution to filter the content on social media platforms?

Facebook is getting ready to release its smart glasses product capable of facial recognition in partnership with Luxottica (Ray-Ban makers) sooner or later in 2021. The product is expected to provide an augmented reality experience and challenge the products by Snapchat and Amazon.

Google Maps are known for its accurate traffic predictions and expected time of arrival (ETA). Ever thought, how is that happening?Well, it is the magic of DeepMind's AI tool.

So after a couple of attempts at Machine Learning, we are now ready to approach Machine Learning from a business angle.

Now, let's take this process a bit further. Whether you deal with a small project or a large project in Machine Learning, the overall process is the same.