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To attract a world-class team, your company has to offer a problem that’s exciting enough to entice the people needed from other organizations
Heri Heryadihar citeretfor 6 år siden
machine learning algorithms currently can’t feel, think independently, or create anything
Heri Heryadihar citeretfor 6 år siden
A single learner algorithm can learn many different things, but not every algorithm is suited for certain tasks
Heri Heryadihar citeretfor 6 år siden
training is the process whereby the learner algorithm maps a flexible function to the data. The output is typically the probability of a certain class or a numeric value.
Heri Heryadihar citeretfor 6 år siden
training is the process whereby the learner algorithm maps a flexible function to the data. The output is typically the probability of a certain class or a numeric value
Heri Heryadihar citeretfor 6 år siden
Everything in machine learning revolves around algorithms. An algorithm is a procedure or formula used to solve a problem.
Heri Heryadihar citeretfor 6 år siden
This book follows the Bayesian tribe strategy, for the most part, in that you solve most problems using some form of statistical analysis
Heri Heryadihar citeretfor 6 år siden
The ultimate goal of machine learning is to combine the technologies and strategies embraced by the five tribes to create a single algorithm (the master algorithm) that can learn anything
Heri Heryadihar citeretfor 6 år siden
five tribes (schools of thought) that make machine learning feasible
Heri Heryadihar citeretfor 6 år siden
The essence of the matter is that machine learning provides just the learning part of AI, and that part is nowhere near ready to create an AI of the sort you see in films.