AWS Big Data

AUGUST 7, 2023

to create forecast tables and visualize the data. Time series data is plottable on a line graph and such time series graphs are valuable tools for visualizing the data. The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job. In our case, we use Amazon Redshift Query Editor v2.0

Forecasting 84

Forecasting Data Warehouse Machine Learning Modeling 84

datapine

MAY 14, 2019

We gave you a curated list of our top 15 data analytics books , top 18 data visualization books , top 16 SQL books – and, as promised, we’re going to tell you all about the world’s best books on data science. 8) “Storytelling With Data: A Data Visualization Guide for Business Professionals” by Cole Nussbaumer Knaflic.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

AWS Big Data

JULY 17, 2023

With OpenSearch Ingestion, you can filter, enrich, transform, and deliver your data for downstream analysis and visualization. Best practices for monitoring You can monitor the Amazon CloudWatch metrics made available to you to maintain the right performance and availability of your pipeline.

Management 76

Management Analytics Data Processing Metrics 76

Juice Analytics

MARCH 3, 2021

Less is often more when designing your data visualizations. www.forbes.com/special-report/2012/annoying-business-jargons-12.html. Reduce metrics. Most organizations are tempted to show as many metrics as possible, but it becomes impossible to understand and focus on everything at once. Reduce chart junk.

Visualization 126

Visualization Metrics Dashboards Measurement 126

Occam's Razor

JANUARY 2, 2013

This post is about standard GA reports, but the standard cart/checkout funnel visualization in GA is value deficient. Multi-channel attribution was the flavor of the month for every month in 2012. And just as in 2012 magic pills will be scarce, FUD will be plentiful, and vendors will promise the moon. Very handy. I hear you.

Strategy 159

Strategy Analytics Reporting Metrics 159

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). We pass 3 parameters: loss, optimizer , and metrics. Choosing your evaluation metric Lastly, metrics just refers to your choice of evaluation metric.

Metrics 58

Metrics Optimization Modeling Testing 58

Occam's Razor

SEPTEMBER 21, 2015

Avoid complex visualizations – they get in the way! My goal is that you'll learn a set of filters you'll use as you think about the best ways to create your stories, however you choose to tell them with whatever visual output you most love. Avoid complex visualizations – they get in the way! Teddy ready?

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

AWS Big Data

MARCH 11, 2024

Establish connectivity between an Amazon QuickSight dashboard and Amazon Redshift to deliver visualization and insights. Make sure that data is flowing into your MSK topic using Amazon CloudWatch metrics (for example, BytesOutPerSec ). You can continuously load fresh data by calling the stored procedure at regular intervals.

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

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. Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.),

Machine Learning 122

Machine Learning Visualization Data Science Metrics 122

Occam's Razor

DECEMBER 3, 2012

Use those metrics to optimize your social existence. Bonus: Facebook Advertising / Marketing: Best Metrics, ROI, Business Value. My answer: I would spend the budget I need to take 100% of the Proactively Capture (right most in the visual above) and then steadily spend rest of the budget moving from right to left. Good question.

Marketing 147

Marketing Advertising Strategy Optimization 147

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. He was saying this doesn’t belong just in statistics. But the point there was what was emerging was interdisciplinary.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. I recall a “Data Drinkup Group” gathering at a pub in Palo Alto, circa 2012, where I overheard Pete Skomoroch talking with other data scientists about Kahneman’s work.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

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

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. But it can be overwhelming to get started with data visualization. If so, this step-by-step data visualization guide is for you!

Visualization 105

Visualization Dashboards Testing Reporting 105

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. From a startup in 2012, it is now valued at $3.2 He concluded that data teams can influence the transformation of startups into unicorns. A true unicorn.

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. This level of discovery can be described and categorized by: Data preparation Visual analysis Guided advanced analytics. But how do you begin adopting this mentality?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Domino Data Lab

SEPTEMBER 9, 2019

Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? The displaCy library provides an excellent way to visualize named entities: In [15]: displacy.render(doc, style="ent"). lemma – a root form of the word. part of speech. for a, b in pairs:?.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110