Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Machine learning has become a water-cooler topic across industries. And the chatter about the possibilities of AI and deep learning certainly isn’t slowing down anytime soon. In an effort to reach non ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.

Machine learning is based on the idea that a system can learn to perform a task without being explicitly programmed. Machine learning has a wide range of applications in the finance, healthcare, ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The next installment of insideAI News’s Data Science 101 series comes from our friends over at LinkedIn. For our readers wanting to get their feet wet with machine learning, this “LinkedIn Tech Talks” ...

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

Supervised machine learning uses labeled data to teach algorithms pattern recognition. It improves prediction accuracy in industries like finance and healthcare. Investors can gauge a company's ...