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.

It's crucial for managing the lifecycle of machine learning models. TensorFlow integrates with other ML frameworks like Keras for high-level neural network APIs, simplifying complex tasks. Best ...