Defining Machine Learning Success
Finding a narrowly scoped problem to solve is crucial for successful machine learning projects. When the scope becomes unbounded, it complicates the process, making it difficult to identify the right questions and tools. Emphasizing a clear definition of the problem ensures a more focused and effective approach to leveraging transformative technologies like TensorFlow.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Machine Learning as a Software Engineering Discipline with Dillon Erb - #404
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