2018 Experimentation Interactive 
The Unofficial Google Data Science Blog
APRIL 23, 2024
To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters.
O'Reilly on Data
MARCH 19, 2020
Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage. PyTorch looks like a contender: it posted triple-digit growth in usage share rates in both 2018 and 2019. For example, the chatbots topic continues to decline, first by 17% in 2018 and by 34% in 2019.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Data Science and Beyond
JULY 22, 2018
This article is a short summary of my understanding of the definition of data science in 2018. No one is born an expert – expertise is gained by learning from and interacting with the world. Even better – I still get paid for being a data scientist. But what does it mean? What do I actually do here?
CIO Business Intelligence
JUNE 15, 2023
A lot has happened since that last survey on attitudes to AI in 2018. It’s important folks get a chance to interact with these technologies and use them; stopping experimentation is not the answer,” Mills said, noting that it’s also not practical. “AI
Corinium
JUNE 6, 2019
It is also important to have a strong test and learn culture to encourage rapid experimentation. Newer methods can work with large amounts of data and are able to unearth latent interactions. One approach is to use NLP techniques to analyze actual call center interactions with customers.
CIO Business Intelligence
MAY 30, 2024
Some gen AI applications can already summarize customer voice and written interactions with the contact center, or, in marketing and sales, identify new sales leads from calls. I’ve given colleagues the freedom to do research and experimentation together with our automation partner Mauden,” says Ciuccarelli. “We
CIO Business Intelligence
AUGUST 21, 2024
When multiple independent but interactive agents are combined, each capable of perceiving the environment and taking actions, you get a multiagent system. But multiagent AI systems are still in the experimental stages, or used in very limited ways. According to Gartner, an agent doesn’t have to be an AI model.
Expert insights. Personalized for you.
52 
Let's personalize your content