datapine

SEPTEMBER 11, 2019

billion , growing at a CAGR of 26.98% from 2016. A forward-thinking online food ordering business wanted to gain a better insight into the life cycles of its customers while gaining the ability to optimize sales reports and marketing campaigns in a time-efficient, cost-saving, and autonomous way. 6) Streaming Internal Processes.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

O'Reilly on Data

APRIL 5, 2023

Jeff Desjardins, founder and editor-in-chief at Visual Capitalist , has published a fascinating infographic depicting 188 cognitive biases–and those are just the ones we know about. In 2016, Microsoft’s Tay chatbot was shut down after making racist and sexist comments. But there are dozens and dozens of known biases (e.g.,

Cost-Benefit 278

Cost-Benefit Data-driven Measurement Visualization 278

Insight

MAY 20, 2020

When I was an Insight Data Engineering Fellow in 2016, I knew very little about Apache Spark prior to starting the program. Keep in mind the Spark DataFrame API and Spark SQL calls use an underlying execution engine that includes optimizations not available if you were to use Spark’s native Resilient Distributed Datasets (RDDs).

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Alexander | June 1, 2016 Training a c onvolution neural network (CNN) to spot helipads The solution I developed rests on retraining a CNN to recognize helipads in aerial images.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Smart Data Collective

MAY 31, 2023

Most savvy marketers recognize the importance of using analytics technology to optimize their strategies to get a higher ROI. Instagram uses big data to identify and block offensive content, create personalized feeds for their users and optimize their advertising platform. It is crucial for Stories. So, simplicity is critical.

Marketing 77

Marketing Data Analytics Analytics Interactive 77

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. It’s up two places from 2017 and up six places from 2016. (A

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Rita Sallam

JULY 31, 2017

Over the past 10 years or more, visual-based data discovery tools (e.g. Data volumes are increasing and becoming more complex to optimize cross-functional digital business decisions. Machine learning automation is affecting all of enterprise software, but will completely transform how we build, analyze, and consume data and analytics.

Marketing 72

Marketing Analytics Machine Learning Data Science 72

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

The first is that they are straightforward to optimize using traditional gradient-based optimizers as long as we pre-specify the placement of the knots. There is a robust set of tools for working with these kinds of constrained optimization problems. PLFs have two useful properties that we take advantage of. Pfeifer, J.,

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

AWS Big Data

JULY 25, 2023

licensed, open-source search and analytics suite, comprising OpenSearch (a search, analytics engine, and vector database), OpenSearch Dashboards (a visualization and utility user interface), and plugins that provide advanced capabilities like enterprise-grade security, anomaly detection, observability, alerting, and much more.

Cost-Benefit 74

Cost-Benefit Modeling Management Optimization 74

The Unofficial Google Data Science Blog

JULY 11, 2017

If both variances are positive then the optimal estimator of $y_{t+1}$ winds up being "exponential smoothing," where past data are forgotten at an exponential rate determined by the ratio of the two variances. There are also plotting functions that you can use to visualize the regression coefficients. Compare to Figure 2.

Forecasting 64

Forecasting Statistics Modeling Software 64

Smarten

SEPTEMBER 6, 2019

SSDP allows average business users to compile and prepare data and use that data in analytics to test hypotheses, visualize and share data, prepare reports and support day-to-day tasks with complete drill-down and drill-through capability, custom alerts and mobile access that supports the needs of every team member.

Analytics 51

Analytics IT Business Intelligence Testing 51

Occam's Razor

SEPTEMBER 13, 2016

With that as context, you can imagine how heart-broken I was when Jane shared the following visual from a study done by Econsultancy and Lynchpin. Visual perception of information. Ability to create insightful data visualizations. It contains the answers to the question which analytics skills are most in demand…. Look for them!

Modeling 127

Modeling Reporting Strategy Consulting 127

Domino Data Lab

AUGUST 22, 2019

You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. Human brains are not well suited to visualizing anything in greater than three dimensions. Joulin, A.,

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

AUGUST 1, 2021

2016) for an example of this technique (LIME). Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Partial Dependence Plot is another visual method, which is model agnostic and can be successfully used to gain insights into the inner workings of a black-box model like a deep ANN.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

The Unofficial Google Data Science Blog

MARCH 31, 2016

Often our data can be stored or visualized as a table like the one shown below. They provide an interpretable decomposition of variance, and in prediction problems they can supply predictive posterior distributions that can be used in stochastic optimization when uncertainty estimates are a critical component (e.g. bandit problems).

Modeling 40

Modeling Statistics Advertising Testing 40

Domino Data Lab

SEPTEMBER 25, 2019

Fortunately, the forecast package has a number of functions to make working with time series data easier, including determining the optimal number of diffs. predict(usBest, n.ahead=5, se.fit=TRUE) $pred Time Series: Start = 2012 End = 2016 Frequency = 1 [1] 49292.41 Figuring out the correct number of diffs can be a tiresome process.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

CIO Business Intelligence

APRIL 12, 2022

It will add it to its Spot by NetApp portfolio, the collection of SaaS tools built around the cloud management and cost optimization company it bought in 2022. Microsoft buys Minit to optimize process automation. NTT Data adds Vectorform to service portfolio. Celonis buys Process Analytics Factory. Tableau buys Narrative Science.

Technology 143

Technology Enterprise Consulting Software 143

Occam's Razor

JULY 13, 2017

In service of that belief, there are few things that bring me as much joy as visualizing data (smart segmentation comes close). While I am partial to the simplest of visualizations in a business data context, I love a simple Bar Chart just as much as a Chord or Fisher-Yates Shuffle. 6: Turbocharging Data Visuals with Storytelling.

Visualization 124

Visualization Strategy Interactive Statistics 124