10 Feb '18, 1am

Cracking Open Google’s Black Box with Machine Learning Tools by @DholakiyaPratik https://t.co/vJQvfXhStT

Unless you already specialize in machine learning, don’t attempt to build a machine-learning platform from scratch. You don’t have to. Machine learning is now widely available for rent. The primary platforms are Amazon, Azure, IBM, and yes, Google , each with their own pros and cons. The accuracy of your model will depend primarily on the accuracy and diversity of your inputs, which will need to be highly specific. It’s a misconception that you can just plug a piece of content into a machine learning algorithm and assign a score to each one, then let the AI loose. Highly specific, measurable quantities will need to be identified. We are long past the point where decision should be made entirely based on whether they will lead to rankings in the short term. Every decision must be justifiable as part of a cohesive marketing strategy with the user front and center. You will l...

Full article: https://www.searchenginejournal.com/reverse-engineer-goog...

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