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Tag: hyperparameter optimization

Machine Learning on the Edge, Hold the Code

Feb 25, 2020 |

Many companies are scrambling to find machine learning engineers who can build smart applications that run on edge devices, like mobile phones. One company that’s attacking the problem in a broad way is Qeexo, which sells an AutoML platform for building and deploying ML applications to microcontrollers without writing a line of code. Read more…

Three Machine Learning Tasks Every AI Team Should Automate

Nov 30, 2018 |

With the war on AI talent heating up, the new “unicorns” of Silicon Valley are high-performing data scientists. Although as recently as 2015 there was a surplus of data scientists, in the most recent quarter there was a 150,000 deficit. Read more…

SigOpt Within In-Q-Tel’s Parameters

Feb 13, 2018 |

It’s no secret that America’s spies are collecting massive amounts of data. And now that In-Q-Tel, the venture capital arm of the nation’s intelligence agencies, has taken a stake in hyperparameter optimization startup SigOpt, they’ll have one more tool for building accurate machine learning models based on that data. Read more…

Google Mimics Human Brain with Unified Deep Learning Model

Jul 6, 2017 |

Despite the progress we’ve made in deep learning, the approach remains out of reach for many, largely due to the high costs associated with tuning models for specific AI tasks. Read more…

Getting Hyped for Deep Learning Configs

Jun 5, 2017 |

As deep learning goes mainstream, early practitioners are finding creative new ways to harness huge collections of unstructured data. But they’re also realizing how critical it is to tune one’s model for optimal performance. Read more…

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