Follow Datanami:

Tag: training

Amazon Certifies Machine Learning Skills

Nov 26, 2018 |

Amazon Web Services (AWS) is releasing its two decades worth of machine learning expertise in the form of technical courses used to train its developers. Along with the training courses, the cloud giant said it is also launching a machine learning certification program to help developers demonstrate their abilities on a range of Amazon platforms and machine learning services. Read more…

Training Time Slashed for Deep Learning

Aug 14, 2018 |

Fast.ai, an organization offering free courses on deep learning, claimed a new speed record for training a popular image database using Nvidia GPUs running on public cloud infrastructure.

A pair of researchers trained the ImageNet database with 93 percent accuracy in 18 minutes using 16 Amazon Web Services (NASDAQ: Read more…

Machine Teaching Will Drive Crowdsourced Cognition into the AI Pipeline

Jun 25, 2018 |

Building high-quality artificial intelligence (AI) is hard work. It’s a specialized discipline that historically has required highly skilled specialists, aka data scientists.

Any time you require some highly skilled, highly paid practitioner to accomplish something of value, you’ve introduced a bottleneck into that process. Read more…

‘Lifelong’ Neural Net Aims to Slash Training Time

May 9, 2018 |

Among the consequences of big data is a wealth of relevant minutiae that can be used to train machine learning and other models. That often translates into processing-intensive steps required to train models to perform a specific task. Read more…

The 10 Step Guide to Mastering Machine Learning

May 9, 2018 |

Artificial intelligence (AI) and machine learning are transforming the global economy, and companies that are quick to adopt these technologies will take $1.2 trillion from those who don’t. Businesses that fail to take advantage of predictive analytics, or don’t have the time or resources – like highly-trained (and expensive) data scientists – will fall behind organizations that embrace AI and machine learning to extract business value from their data. Read more…

Nvidia Eyes Gov’t Market with Deep Learning Expansion

Nov 1, 2017 |

Nvidia said it is expanding its deep learning partnerships this week with government contractor Booz Allen Hamilton to help train U.S. military personnel along with AI pioneer Andrew Ng to train developers working in fields such as natural language processing and video analytics. Read more…

H2O Ups AI Ante Via Nvidia GPU Integration

Oct 2, 2017 |

H2O.ai, the machine-learning specialist that unveiled its “Driverless AI” platform this past summer, is upgrading the system via integration with GPU specialist Nvidia’s AI development system.

The Mountain View, Calif., company said last week it has integrated its AI platform designed to address the shortage of data scientists with Nvidia’s DGX platform. Read more…

ML Toolkit Aims to Ease Data Scientists’ Pain

Sep 7, 2017 |

As the AI services ecosystem expands, vendors are offering automation tools designed to make life easier for embattled data scientists through toolkits used to build machine and deep learning models, and then move those trained models to production. Read more…

Cisco Aims to Shrink Big Data Skills Gap

Jan 17, 2017 |

Cisco Systems today introduced new educational offerings aimed at narrowing the looming skills gap in the areas of data analytics and digital transformation. In particular, the new analytics program is designed to help Cisco customers make sense of the zettabytes worth of new data that will be collected over the Internet of Things in the coming years. Read more…

MapR Ponies Up with Free Hadoop Training

Jan 27, 2015 |

Hadoop is hard. There’s just no way around it. Without a set of specific technical skills, the chances of somebody developing or running a Hadoop cluster are not good. A new training program unveiled today by MapR Technologies may help to put a dent in the pent-up demand for Hadoop skills. Read more…

Do NOT follow this link or you will be banned from the site!