Tweaking machine learning algorithms and models won't always be for experts only, thanks to these cutting-edge projects Topics Spotlight: New Thinking about Cloud Computing ...

A time series analysis project could involve analyzing historical price data for a specific cryptocurrency, such as Bitcoin , using statistical models and machine learning techniques to forecast ...

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR.

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning ...

This article looks at 13 open source projects that are remaking the world of AI and machine learning. Some are elaborate software packages that support new algorithms. Others are more subtly ...

At Cloud Next 2019, Google announced the launch of AI Platform, a comprehensive machine learning service for developers and data scientists. Google has many investments in the space of machine ...

Numpy-- a package with support for mathematical operations on multidimensional data -- was the most imported package, used in nearly three-quarters of machine learning and data science projects. Scipy ...

Cloudera, a player in hybrid data platforms for analytics and AI, has launched six new Accelerators for Machine Learning Projects (AMPs), designed to expedite the development and deployment of AI use ...

A machine learning-based model using data routinely gathered in primary care identified patients with dementia in such settings, according to research recently published in BJGP Open. &ldquo ...