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 Heryadiцитирапреди 6 години
machine learning algorithms currently can’t feel, think independently, or create anything
Heri Heryadiцитирапреди 6 години
A single learner algorithm can learn many different things, but not every algorithm is suited for certain tasks
Heri Heryadiцитирапреди 6 години
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 Heryadiцитирапреди 6 години
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 Heryadiцитирапреди 6 години
Everything in machine learning revolves around algorithms. An algorithm is a procedure or formula used to solve a problem.
Heri Heryadiцитирапреди 6 години
This book follows the Bayesian tribe strategy, for the most part, in that you solve most problems using some form of statistical analysis
Heri Heryadiцитирапреди 6 години
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 Heryadiцитирапреди 6 години
five tribes (schools of thought) that make machine learning feasible
Heri Heryadiцитирапреди 6 години
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.