Smart Data Collective

APRIL 5, 2019

Having a social media strategy also allows you to put yourself level ground with your competitors. Social listening involves paying close attention to public feedback, and having a strategy in place for addressing the needs of your customers in the open.”. Customers are freely handing over data to brands to improve their experience.

Big Data 79

Big Data Interactive Data-driven Metrics 79

datapine

MAY 14, 2019

Best for: Those looking for a practical means of understanding how artificial intelligence serves to enhance data science and use this knowledge to improve their data analytics strategies. It’s also one of the best books on data science around.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Occam's Razor

MAY 14, 2012

Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. There are many different tools, both online and offline, that measure the elusive metric called brand strength. Brand strength is built over time using online and offline advertising.

Measurement 128

Measurement Analytics Advertising Marketing 128

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). I was familiar with the strategy of using data augmentation techniques (such as flipping, shearing, zooming, etc.) We pass 3 parameters: loss, optimizer , and metrics.

Metrics 58

Metrics Optimization Modeling Testing 58

AWS Big Data

JUNE 28, 2023

Challenges Customers across industries today are looking to increase revenue and customer engagement by implementing near-real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. They would like to get these metrics in near-real time using a zero-ETL integration.

Data Warehouse 81

Data Warehouse Analytics Metrics Dashboards 81

AWS Big Data

MARCH 11, 2024

Make sure that data is flowing into your MSK topic using Amazon CloudWatch metrics (for example, BytesOutPerSec ). Set up streaming ingestion To set up streaming ingestion, complete the following steps: Set up the AWS Identity and Access Management (IAM) role and trust policy required for streaming ingestion.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

JUNE 30, 2016

In fact, Hainmueller (2012) show that entropy balancing is equivalent to estimating the weights as a log-linear model of the covariate functions $c_j(X)$. See Hainmueller (2012), and the work of Zhao & Percival (2015) for more details on how this optimization problem is solved, and for further discussion. 2012): 25-46.

Statistics 44

Statistics Optimization Modeling Experimentation 44

AWS Big Data

MARCH 21, 2024

Challenges Customers across industries today are looking to use data to their competitive advantage and increase revenue and customer engagement by implementing near real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. Choose Create policy.

Data Warehouse 83

Data Warehouse Metrics Statistics Optimization 83

Occam's Razor

DECEMBER 3, 2012

But a robust digital marketing strategy for medium- or large-sized businesses encompasses so much more. What is a good way to self-identify gaps in strategy, to discover the mistakes that might be making your strategy sub-optimal? Is Your Digital Strategy Magnificent? Reality, as is its wont, is much more complex.

Marketing 147

Marketing Advertising Strategy Optimization 147

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. It enables the tracking of experiment metrics like loss and accuracy, visualization of a model’s graph, projection of embeddings to a lower dimensional space, and much more. Train Gensim’s Word2Vec.

Machine Learning 121

Machine Learning Visualization Data Science Metrics 121

The Unofficial Google Data Science Blog

AUGUST 27, 2019

Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors. If we could separate bad videos from good videos perfectly, we could simply calculate the metrics directly without sampling. The missing verdicts create two problems.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

AWS Big Data

OCTOBER 19, 2023

Customers uploading and searching through decades of photos helped turn search into critical infrastructure, growing steadily since SmugMug first used Amazon CloudSearch in 2012, followed by Amazon OpenSearch Service since 2018, after reaching billions of documents and terabytes of search storage.

Publishing 55

Publishing Testing Cost-Benefit Data-driven 55

CIO Business Intelligence

AUGUST 28, 2023

The company was quick to kick off its cloud journey in 2012, recognizing the need to scale seamlessly, get new services to market quickly and give staff and customers a great digital experience. Implementing VMware Aria Cost powered by CloudHealth was a game changer in our multi-cloud strategy,” says Marais.

Cost-Benefit 103

Cost-Benefit Insurance Risk Management 103

Domino Data Lab

APRIL 21, 2021

from sklearn import metrics. There are different approaches to this strategy, with the two most commonly used being random oversampling and SMOTE. In this context, offsetting the threshold in a way that reduces the false negatives at the expense of false positives becomes a viable strategy. from datetime import datetime.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

AWS Big Data

MAY 19, 2023

Orchestrating the run of and managing dependencies between these components is a key capability in a data strategy. A common use case with this data would be to gather usage metrics on principals acting on your account’s resources for auditing and regulatory needs. AWS Glue ETL jobs may be one component in a more complex pipeline.

Machine Learning 79

Machine Learning Metrics Management Big Data 79

Occam's Razor

SEPTEMBER 21, 2015

We are going to discuss a cluster of strategies you can use to ensure that you present your message with radical simplicity and with an incredible focus. Don't underestimate the value of this strategy in your storytelling. Second, between 2012 and 2013. Here's the resulting output. Simpler, right? Just, less stuff.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

DataRobot Blog

APRIL 4, 2022

This metric is important to discover the fluctuation in sales that is due to seasonal demand patterns versus the sales generated by pricing or media. The argument has always been that ML models are too opaque ( black-box ) to be able to produce the level of insights and transparency needed for marketing strategy setting.

Machine Learning 52

Machine Learning Sales Measurement ROI 52

Occam's Razor

SEPTEMBER 4, 2012

… But I was thrilled to see my utility marketing strategy in action! So, what is your company's mobile strategy? If you don't, it is time to future-proof your marketing strategy, because the world is most definitely moving to utility marketing. Why not use that data to find new monetization strategies?

Marketing 144

Marketing Data mining Measurement Strategy 144

Domino Data Lab

MARCH 3, 2019

What metrics are used to evaluate success? While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Sisense

DECEMBER 11, 2019

He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more. Ziv Ben Naim, Client Services Analytics & Strategy Lead, AppsFlyer Maayan Dukas Kfir, Data Analyst, AppsFlyer. The impact on customers.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

datapine

MAY 17, 2021

Without a doubt, the best way to drive maximum value from the metrics, insights, and information is through something called data discovery. Studies say that more data has been generated in the last two years than in the entire history before and that since 2012 the industry has created around 13 million jobs around the world.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Depict Data Studio

APRIL 10, 2023

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. I first learned about this technique through Cole Nussbaumer’s Storytelling with Data workshop back in 2012—but geez, was it tough to apply!

Visualization 105

Visualization Dashboards Testing Reporting 105

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Looking at metrics of interest computed over subpopulations of large data sets, then trying to make sense of those differences, is an often recommended practice (even on this very blog).

Experimentation 61

Experimentation Testing Statistics Metrics 61