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Favorite As enterprises move from running ad hoc machine learning (ML) models to using AI/ML to transform their business at scale, the adoption of ML Operations (MLOps) becomes inevitable. As shown in the following figure, the ML lifecycle begins with framing a business problem as an ML use case followed
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Shared by AWS Machine Learning July 28, 2022
Favorite Posted by Tuan Anh Nguyen, Staff Software Engineer, Google Assistant, and Sourish Chaudhuri, Staff Software Engineer, Google Research In natural conversations, we don’t say people’s names every time we speak to each other. Instead, we rely on contextual signaling mechanisms to initiate conversations, and eye contact is often all
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Shared by Google AI Technology July 27, 2022
Favorite Logistics and transportation companies track ETA (estimated time of arrival), which is a key metric for their business. Their downstream supply chain activities are planned based on this metric. However, delays often occur, and the ETA might differ from the product’s or shipment’s actual time of arrival (ATA), for
Read More Shared by AWS Machine Learning July 27, 2022
Favorite In the end, it came down to 213 thousandths of a second! That was the difference between the two best times in the finale of the first AWS AWS DeepRacer Student Wildcard event hosted in Ottawa, Canada this May. I watched in awe as 13 students competed in a
Read More Shared by AWS Machine Learning July 27, 2022
Favorite Posted by Maxim Tabachnyk, Staff Software Engineer and Stoyan Nikolov, Senior Engineering Manager, Google Research The increasing complexity of code poses a key challenge to productivity in software engineering. Code completion has been an essential tool that has helped mitigate this complexity in integrated development environments (IDEs). Conventionally, code
Read More Shared by Google AI Technology July 26, 2022
Favorite Meet OSI at SCaLE 19X- the 19th annual Southern California Linux Expo happening July 28th – July 30th. The post OSI to attend SCaLE 19x conference first appeared on Voices of Open Source. Click Here to View Original Source (opensource.org)
Favorite This is a guest post co-written with Mutisya Ndunda from Trumid. Like many industries, the corporate bond market doesn’t lend itself to a one-size-fits-all approach. It’s vast, liquidity is fragmented, and institutional clients demand solutions tailored to their specific needs. Advances in AI and machine learning (ML) can be
Read More Shared by AWS Machine Learning July 26, 2022
Favorite How can communities of practice add value? Let me count the ways. Image from wikimedia commons Here’s a list we made of 30 different mechanisms by which a community of practice can add value to an organisation. No doubt you can think of more! Community members can Solve problems
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Shared by Nick Milton July 25, 2022
Favorite The process of building a machine learning (ML) model is iterative until you find the candidate model that is performing well and is ready to be deployed. As data scientists iterate through that process, they need a reliable method to easily track experiments to understand how each model version
Read More Shared by AWS Machine Learning July 22, 2022
Favorite Posted by Winnie Xu, Student Researcher and Kuang-Huei Lee, Software Engineer, Google Research, Brain Team Current deep reinforcement learning (RL) methods can train specialist artificial agents that excel at decision-making on various individual tasks in specific environments, such as Go or StarCraft. However, little progress has been made to
Read More Shared by Google AI Technology July 21, 2022