Domino Data Lab

AUGUST 29, 2019

Discuss approaches for optimizing the performance of deep reinforcement learning agents. This article provides an excerpt “Deep Reinforcement Learning” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

AWS Big Data

MARCH 1, 2023

Monitoring of different Amazon MSK metrics is critical for efficient operations of production workloads. Amazon MSK gathers Apache Kafka metrics and sends them to Amazon CloudWatch , where you can view them. Amazon MSK metrics helps monitor critical tasks while operating applications. Why is Kafka monitoring critical?

Management 72

Management Metrics Dashboards Visualization 72

CIO Business Intelligence

DECEMBER 6, 2023

While automation orchestrators have improved and some have moved to become cloud-based, there are still challenges facing them, and this has limited orchestrators to basic operational bot metrics. This article was co-authored by Shail Khiyara, President & COO, Turbotic, and Rodrigo Madanes, EY Global Innovation AI Leader.

Enterprise 116

Enterprise Strategy Modeling Interactive 116

The Unofficial Google Data Science Blog

JULY 17, 2018

Alternatively, guidance and insight may be delivered below the executive level to product managers and engineering leads, directing product feature development via metrics and A/B experiments. This measure of web page value is on a meaningful linear scale, such that our freshness metric (a weighted average) has an intuitive interpretation.

Data Science 85

Data Science Snapshot Data Processing Optimization 85

CIO Business Intelligence

APRIL 19, 2022

When customers are comparing order fulfillment metrics as a performance indicator, they’re using Amazon’s next day, free-of-charge delivery as the benchmark, not the industry median performance. Thrivers v. In recent times, the phrase “data is the new oil” has become an overused cliché. These kinds of organisations are data thrivers.

Digital Transformation 57

Digital Transformation Data mining Strategy Insurance 57

Occam's Razor

SEPTEMBER 29, 2009

Remember: Engagement is not a metric, its an excuse. ]. One of the ultimate excuses for not measuring impact of Marketing campaigns is: "Oh, that's just a branding campaign." " Admit it, you've heard it. I suspect you've even used it liberally!! : ). I love campaigns that Visa runs. All well and good.

Measurement 128

Measurement Metrics Analytics Marketing 128

Domino Data Lab

JULY 1, 2021

from keras import optimizers from keras.models import Model from keras.models import Input from keras_contrib.layers import CRF from keras_contrib import losses from keras_contrib import metrics. we need to tokenize the input) second, we need to assign each entity to one of the predefined classes. The CRF model.

Modeling 111

Modeling Statistics Testing Metrics 111

bridgei2i

JULY 8, 2020

Effectiveness, which is, how can any form of digital information help us drive business metrics. Very critical long-term business metrics: How can digital contextual interventions impact effectiveness of these business metrics? Can we model the impact for such structural shocks? How do they translate into real-world behavior?

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Alation

JANUARY 27, 2022

Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. Optimize Processes and Improve Efficiency. An example of this is by optimizing resource use. How do businesses transform raw data into competitive insights? Data analytics. What is Data Analytics?

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Domino Data Lab

APRIL 21, 2021

from sklearn import metrics. An advantage of this approach is that its decisions are inherently explainable – it is straightforward to identify the rule, which flagged a specific transaction as fraudulent. The drawbacks are that rule-based detection is computationally intensive and is usually implemented as batch (or offline) scoring.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

AWS Big Data

FEBRUARY 23, 2023

Publish custom metrics to Amazon CloudWatch in both Regions within the same account. This is a guest post co-written with Raghu Boppanna from Vanguard. At Vanguard , the Enterprise Advice line of business improves investor outcomes through digital access to superior, personalized, and affordable financial advice.

Technology 52

Technology Metrics Publishing Strategy 52

Domino Data Lab

AUGUST 22, 2019

Removing stop words: These are frequently occurring words that tend to contain relatively little distinctive meaning, such as the , at, which , and of. There is no universal consensus on the precise list of stop words, but depending on your application it may be sensible to ensure that certain words are (or aren’t!) considered to be stop words.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

The Unofficial Google Data Science Blog

AUGUST 31, 2016

For framing purposes, Spark’s sweet spot is quickly developing exploratory/interactive analysis and iterative algorithms , e.g., gradient descent and MCMC, whereas Dataflow’s sweet spot is processing streaming data and highly-optimized, robust, fixed pipelines.

Data Science 66

Data Science Sales Optimization Cost-Benefit 66

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was in fact an overview of a piece of research we update every year. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Occam's Razor

MAY 4, 2010

So at the end of my 10 Fundamental Web Analytics Truths blog post I requested readers who were interested in the scholarship to complete this simple task: Pick a site you love and tell me three things you would change about it, and why. Seems straight forward right? First I must say that I was overwhelmed by the responses (thanks!)

Testing 112

Testing Advertising Marketing Measurement 112