Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. The first step before creating data visualization using Power View and Pivot Tables/Charts in Excel, we need to acquire the data from various data sources. I look forward to seeing you there!

Dashboards 40

Dashboards Visualization KPI Interactive 40

Occam's Razor

JANUARY 31, 2017

It also forces a lot less think than might be optimal. Delete anything that's redundant, and simply visualize what's left for sharper focus. Everything seems sub-optimal. Yes, text can be optimized. Let's look at this real data for a fictitious company… This is slide one… Ok. Interesting trend.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Smart Data Collective

JANUARY 27, 2021

The researchers analyzed daily market data from nearly 1,700 cryptocurrencies that were sold between November 2015 and April 2018. You can begin evaluating the results and possibly present them in a visual format. You should also track the accuracy of your algorithms and tweak them as necessary for optimal efficacy.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

FineReport

SEPTEMBER 13, 2021

Performance dashboard is a data visualization tool for management, which is often used to measure employees’ performance, while helping business personnel measure, monitor, and manage the key activities and processes required to achieve business goals. How to reasonably determine the training and promotion of employees?

Dashboards 52

Dashboards Key Performance Indicator Informatics KPI 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

JUNE 8, 2021

Support Vector Machines (SVMs) are supervised learning models with a wide range of applications in text classification (Joachims, 1998), image recognition (Decoste and Schölkopf, 2002), image segmentation (Barghout, 2015), anomaly detection (Schölkopf et al., Selecting the optimal decision boundary, however, is not a straightforward process.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Data Science and Beyond

JULY 5, 2015

This page summarises the deep learning resources I’ve consulted in my album cover classification project.

Deep Learning 40

Deep Learning Consulting Optimization Visualization 40

IBM Big Data Hub

AUGUST 11, 2023

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications. Build models either visually or with code, and deploy and monitor into production.

Data Science 59

Data Science Machine Learning Cost-Benefit Deep Learning 59

Cloudera

DECEMBER 19, 2018

In 2015, only 17% of organizations surveyed had big data implementations. The most common big data use case is data warehouse optimization. When dealing with big, fast, and complex data, you need to be able to visualize your analytics and BI in real-time. Only three years later, that number more than tripled to 59% in 2018.

Data Warehouse 54

Data Warehouse Analytics Big Data Data Architecture 54

AWS Big Data

FEBRUARY 1, 2023

To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Hurwitz & Associates

MAY 21, 2019

RHEL 8 also has direct support for GPUs, such as Nvidia GPUs, which is critical for data science, AI, machine learning (ML), and workloads and visualization. However, in recent years, the two companies have been working together to optimize OpenShift containers for use on Microsoft’s Azure cloud platform. What’s Next.

Software 40

Software Enterprise Machine Learning Management 40

datapine

SEPTEMBER 4, 2023

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? 4) Static vs. Animated Data Visualization Data is the new oil? ” – David McCandless Humans are visual creatures. This very notion is the core of visualization.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

CIO Business Intelligence

AUGUST 28, 2023

Since the Paris Agreement was signed in 2015, businesses have been taking part to contribute in pursuing net zero and achieve emission reduction targets. Today, ESG data is consolidated, synthesized, analyzed, and visualized through a single, accessible source. million in costs.

Digital Transformation 116

Digital Transformation Internet of Things Dashboards IoT 116

AWS Big Data

OCTOBER 23, 2023

Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer. We cover some common and advanced SQL commands used in Spark SQL, and show you how to use Python to extend your functionality with user-defined functions (UDFs) as well as to visualize queried data.

Data Lake 107

Data Lake Visualization Optimization Interactive 107

Occam's Razor

DECEMBER 3, 2012

We like to believe that all there is to digital marketing is to do some search engine optimization, send out an email blast every once in a while, get our agency to create a flash-heavy "brand experience" website, or slap together a mobile app in the corporate-approved shade of eggshell white. So what do you have?

Marketing 147

Marketing Advertising Strategy Optimization 147

Insight

JUNE 10, 2019

Photo by Wayne Chan on Unsplash The race to the future I don’t know about you, but I distinctly remember a promise from 1989 that flying cars would be commonplace by 2015. Below is a visualization of this approach for the example area I provide in my video demo. Below is a visualization of the results.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Sisense

FEBRUARY 24, 2021

But that number rose sharply afterwards, with the team noting there were over 1,000 people in this role by 2015. Platforms like Sisense enable these teams to quickly explore data through code, visualize the results, or convert them to models written back to AWS Redshift or Snowflake.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Octopai

JANUARY 19, 2021

This is done by visualizing the Azure Data Factory pipelines’ full column-level with source-to-target traceability through different data transformations at the most detailed level. About Octopai: Octopai was founded in 2015 by BI professionals who realized the need for dynamic solutions in a stagnant market.

Metadata 52

Metadata ROI Optimization Data Quality 52

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

Sisense

MARCH 18, 2019

My involvement with Sisense started in mid-2015. As part of our continuing tech investments, CTSI-Global decided to incorporate modern BI technology to help shippers perform advanced forecasting and modeling through elegant and robust visualizations on top of the centralized shipping data we aggregate.

Analytics 71

Analytics Dashboards Metrics Visualization 71

Occam's Razor

JULY 22, 2013

Most of the frameworks we have also don't optimally capture the complexity of digital marketing and measurement. Truly reflect on whether our marketing and advertising initiatives are broad enough and optimized enough for each customer consideration stage, and finally. Then there is Agile for engineering. Are they a lost cause?

Measurement 163

Measurement Marketing Key Performance Indicator Metrics 163

Occam's Razor

AUGUST 28, 2017

In June 2015 it got the right answer 72% of the time, two board-certified dermatologists got the right answer for the same images 66% of the time. Additionally, I was so very excited about the Visual Interaction Network they built to mimic a human’s ability to predict. (If This progress is so very cool. Professional). Note the for now.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Domino Data Lab

FEBRUARY 4, 2019

After about 2015, the firm followed the herd by introducing yet more sophisticated machine learning techniques; however, since the data science team was already swamped with reporting requirements, they introduced a new team of machine learning engineers. I double-dare you not to visualize that cohort! Friction ensued.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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

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. Goldfarb, S.

Forecasting 64

Forecasting Statistics Modeling Software 64

Domino Data Lab

AUGUST 1, 2021

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. 2015) for additional details. 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. See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

JULY 9, 2019

or are you looking for me to help you decide on what is the optimal treatment in order to get the outcome you want?” You really want…you really already know what actions you want to perform and you want me to help you figure out what’s the optimal treatment, not what’s going to happen in the absence of treatment.”

Data Science 112

Data Science Machine Learning Advertising Modeling 112

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. Tableau buys Narrative Science.

Enterprise 143

Enterprise Technology 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

Occam's Razor

FEBRUARY 9, 2015

It is 2015. My favourite method is to use the Traffic Dashboard report in Compete (as I'd mentioned in my post on data visualization strategies and examples ). Not every website is organized optimally for us to benefit from this report, but if it is, then you'll get something like this for Dell.com.

Metrics 155

Metrics Reporting IT Advertising 155

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"). Since 2015, spaCy has consistently focused on being an open source project (i.e.,

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110

Jet Global

MAY 4, 2021

SAP’s release of its HANA in-memory database back in 2015 was a watershed moment for the company. Even if you have not yet made the transition, it is well worth an investment of your time to consider the implications and take a proactive approach to building an optimal SAP S/4HANA reporting and analytics strategy as you look to the future.

Reporting 52

Reporting IT Finance Data Warehouse 52