Tag: machine learning

Crawling the Web for Data and Profit

Feb 23, 2018 |

The Web serves as a vast, renewable resource for the most valuable thing in existence: data. However, getting useful data from the Web isn’t always an easy task. Luckily, there are a handful of open source and commercial solutions that can help you crawl the Web to feed your hungry algorithms with the freshest data. Read more…

ParallelM Aims to Close the Gap in ML Operationalization

Feb 21, 2018 |

A startup named ParallelM today unveiled new software aimed at alleviating data scientists from the burden of manually deploying, monitoring, and managing machine learning pipelines in production.

Dubbed MLOps, ParallelM‘s software helps to automate many of the operational tasks required to turn a machine learning model from a promising piece of code running nn Spark, Flink, TensorFlow, or PyTorch processing engines into a secure, governed, and production-ready machine learning system. Read more…

Why Getting the Metrics Right Is So Important in Machine Learning

Feb 20, 2018 |

Armed with big data analytics, businesses now have the power to detect and act in very precise ways. But if a business is measuring the wrong piece of data — Read more…

AI, Big Data Are Meshing–and Disrupting

Feb 20, 2018 |

Data analytics, big data and artificial intelligence are widely seen by banks, manufacturers and technology firms are part of a “continuum” as they begin to derive value while girding for growing competition from data-driven startups. 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…

Arm ML Processors Eye Object Detection

Feb 13, 2018 |

Arm Ltd., the U.K. chip intellectual property vendor, is rolling out a machine learning platform designed to boost the functionality of devices at the network edge, beginning with an object detection capability. Read more…

Snowflake Taps Qubole for Deep Machine Learning in the Cloud

Feb 13, 2018 |

Organizations storing big data in Snowflake’s cloud data warehouse can now run machine learning and deep learning algorithms against that data thanks to a new partnership with Qubole.

The two companies today announced a partnership that will allow Qubole’s big data processing engines, including Apache Spark and TensorFlow, to read and write data to Snowflake’s data warehouse. Read more…

Who (or What) Do You Trust? Data Survey Asks

Feb 8, 2018 |

The combination of high-profile data breaches and the rise of machines involved in decision-making is undermining trust in big data and the analytics behind business decisions, warns a new study of the “evolving nature of trust in the digital world.” Read more…

One Containerized View of Data Science’s Future

Feb 8, 2018 |

Containers have emerged as legitimate platforms for running data science workloads. But are Docker and Kubernetes here for good, or is it just a passing data science fad? We looked to Anaconda’s SVP of Products and Marketing Mathew Lodge for insights on the matter. Read more…

Trifacta Cashing In On Cloud Analytics

Feb 6, 2018 |

Reflecting the booming market for data preparation technologies, many centering on emerging serverless tools, market leader Trifacta recently announced a $48 million funding round. Among the new investors is Google, which recently unveiled a managed data wrangling service developed in collaboration with Trifacta. Read more…