datapine

APRIL 8, 2020

Your Chance: Want to test a SQL dashboard software completely for free? Those are the most common types of Joins you will probably encounter during your work with a SQL server dashboard tool, but a visual representation of how they behave might give you a clearer picture: Your Chance: Want to test a SQL dashboard software completely for free?

Dashboards 209

Dashboards Software Visualization Sales 209

CIO Business Intelligence

SEPTEMBER 29, 2023

PyTorch Developed by the Facebook AI Research (FAIR) team in 2017 as an open-source machine learning library, PyTorch is a popular framework that helps organizations build and train deep learning models and neural networks that can be employed in technology such as NLP and other applications.

Deep Learning 142

Deep Learning Machine Learning Modeling Consulting 142

IBM Big Data Hub

FEBRUARY 8, 2024

Later, in 2017, a group of 140 CEOs gathered to sign the Compact for Responsive and Responsible Leadership (the Compact) which was drafted by the World Economic Forum. The signatories committed to working together to help achieve the UN’s SDGs—a pledge that would be put to the test come 2020.

Measurement 79

Measurement Metrics Reporting Strategy 79

datapine

APRIL 14, 2022

In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. A shining example of an amusement arcade chain that has stood the test of time is an Australian brand named Timezone. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

CDW Research Hub

JULY 19, 2022

A straightforward way the IT industry has traditionally compared performance and cost across different CPUs or instances is by relying on just one or two benchmarks such as SPECint (SPECrate 2017 Integer). Dev/test, low-traffic web servers, code repositories, and others. To view details on Intel instances available on AWS, click here.

Cost-Benefit 72

Cost-Benefit Optimization Testing Machine Learning 72

Cloudera

SEPTEMBER 10, 2021

The IRS has spent more than a decade working to combat high-cost hazards, including launching a collaborative Identity Theft Tax Refund Fraud Information Sharing and Analysis Center (ISAC) pilot for the 2017 tax-filing season, advancing authentication tools and taking proactive steps in fighting business identity theft.

Machine Learning 67

Machine Learning Statistics Data-driven Big Data 67

Data Science and Beyond

APRIL 5, 2021

I’ve been working remotely with Automattic since 2017, so I was pretty covid-ready as far as work was concerned. I summarised this work in a post on the company’s blog , and discussed it in an interview with PublishPress. Remote work. This aligns well with my long-standing interest in causal inference.

Experimentation 61

Experimentation Testing Publishing Measurement 61

IBM Big Data Hub

APRIL 5, 2023

In 2017, the Ministry of Health launched yet another reorganisation of the public health system into three integrated regional clusters. Learn more about IBM Consulting here The post For nearly two decades, IBM Consulting has helped power SingHealth’s digital transformation appeared first on IBM Blog.

Digital Transformation 60

Digital Transformation Consulting Finance Insurance 60

Smarten

FEBRUARY 23, 2022

Users can compose and enter a question using common human language, e.g., ‘who sold the most bakery products in 2017 in the Southwest region?’. NLP creates an environment where humans can interact with data to test theories, ask questions and discover critical information easily and quickly.

Analytics 76

Analytics ROI Interactive Machine Learning 76

Jen Stirrup

OCTOBER 21, 2019

For the leaders, the simplest option can simply be doing nothing, but let someone run around burning themselves out so that eventually it becomes a test of patience and stamina, rather than a test of what is right and wrong. To summarise, this blog gives a flavour for some of the issues as well as some action points.

Data-driven 49

Data-driven Marketing Testing Management 49

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ Agile was originally about iterating fast on a code base and its unit tests, then getting results in front of stakeholders. Challenges for Transparency ”. Riccardo Guidotti, et al. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

erwin

JULY 30, 2020

was released in 2017. It’s tried and tested from an enterprise perspective and an in-demand certification for enterprise architects, so there are relatively low risks associated with adopting it. In 2008, the ownership of the brand was transferred to The Open Group, who have since revised and upgraded the standard.

Enterprise 138

Enterprise Visualization Modeling Testing 138

datapine

MAY 11, 2022

Therefore, the visualization of data is critical to the sustained success of your business and to help you yield the most possible value from this tried and tested means of analyzing and presenting vital information. Once you have managed all these points, you need to test on different devices to ensure that everything runs smoothly.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Cloudera

MAY 15, 2018

Derman (2016), Cesa (2017) & Bouchard (2018)). Blog Post, Nov-2016. Probability, Uncertainty and Quantitative Risk (2017) 2:6. The post Simulation for better decision making appeared first on Cloudera Blog. These examples are well covered by many others (e.g., A Stylized History of Quantitative Finance”.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

O'Reilly on Data

MARCH 23, 2023

All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. The real tests will come when these models are connected to critical systems.

IT 258

IT Modeling Testing Risk 258

Domino Data Lab

AUGUST 1, 2021

After forming the X and y variables, we split the data into training and test sets. Next, we pick a sample that we want to get an explanation for, say the first sample from our test dataset (sample id 0). For sample 23 from the test set, the model is leaning towards a bad credit prediction. show_in_notebook(). References.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

MAY 20, 2021

Their tests are performed using C4.5-generated note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). The post ML internals: Synthetic Minority Oversampling (SMOTE) Technique appeared first on Data Science Blog by Domino. Chawla et al.,

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Sisense

JULY 10, 2019

As of 2017, Linux was running 90% of the public cloud workload. Given this importance, we made it an organizational priority to invest in a Sisense on Linux deployment in late 2017. When I was tasked with the responsibility of building a Sisense Linux deployment in late 2017, a few small steps had already been taken.

IT 69

IT Testing Technology Sales 69

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. While the discussion is about methods and applications, the blog also contains pointers to research papers and to the TensorFlow Lattice package that provides an implementation of these solutions. As introduced in Zaheer et al.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Depict Data Studio

JANUARY 9, 2023

I’m going to focus on blogging this year. My time’s limited, and blogging is the most efficient one to many structure. In past years, my goal was 24 blog posts (about 2 per month). This year, I’ll try to publish 36 blog posts (about 3 per month). I have a MASSIVE folder of blog post drafts. (I

Dashboards 40

Dashboards Consulting Visualization Data Processing 40

Smarten

MAY 11, 2017

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist, ETL or developer. Their findings include: Through 2017, the number of citizen data scientists will grow five times faster than the number of highly skilled data scientists.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

Alation

FEBRUARY 20, 2020

I was thrilled to hear that he is being honored by the Silicon Valley Business Journal by being named to its prestigious list of 40 under 40 rising technology stars for 2017. Subscribe to Alation's Blog. If you’ve ever heard Aaron speak publicly, you’ll have a sense of how informative and fun he can be as a teacher. Congrats Aaron!

Machine Learning 52

Machine Learning Interactive Data-driven Software 52

IBM Big Data Hub

JULY 19, 2023

Code creation: Code co-pilot, code conversion, create technical documentation, test cases and more. Once fine tuned, the deployed model was used to inference on a test data to create the AE narratives (see Figure 2 for a sample).

Consulting 60

Consulting Machine Learning Manufacturing Optimization 60

The Unofficial Google Data Science Blog

APRIL 23, 2024

This blog post discusses such a comprehensive approach that is used at Youtube. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. arXiv: Optimization and Control, 2017. [12] 11] Jaehyun Park and Stephen P. Efron and C.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

APRIL 24, 2023

How we got here The most notable enabling technologies in generative AI are deep learning, embeddings, transfer learning (all of which emerged in the early to mid-2000s), and neural net transformers (invented in 2017). One of the most important of such architectures, the “transformer,” was developed in 2017.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

Alation

FEBRUARY 20, 2020

In perhaps a preview of things to come next year, we decided to test how a Data Catalog might work with Tableau on the same data. With any luck Cindi might even consider the first annual Self-Service Data Prep Bake-off in 2017? Subscribe to Alation's Blog. Rita Sallam Introduces the Data Prep Rodeo. I hope to see you there!

Scorecard 52

Scorecard ROI Data-driven Visualization 52

Insight

OCTOBER 25, 2019

In this blog, I’ll illustrate an approach by walking you through my project during my Data Science Fellowship at Insight , followed by a quick discussion pertaining to broader application. Validation and Testing As previously mentioned, one object from each of the 6 classes was held out for testing. not just images?—?unseen

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

Occam's Razor

OCTOBER 12, 2017

Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. When you go to the interview, the hiring company will proceed to ask questions that test your competency in the listed job requirements. This is not the future, it is Nov 2017. This is normal. Science or Fiction?

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Insight

JUNE 2, 2019

Simply Install is a series of blogs covering installation instructions for simple tools related to data engineering. This blog covers basic steps to install and configuration Apache Spark (a popular distributed computing framework) as a cluster. on AWS using EC2 Instances. Setting up scala (2.11.12-4~18.04). ubuntu@10.0.0.9

Testing 67

Testing Management Data Processing Interactive 67

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Ontotext

SEPTEMBER 24, 2020

Or this – a digital twin of an entire city being used by the public and private sector as a three-dimensional model that can be analyzed, controlled and tested in real time. And this is where the value-proposition of a digital twin technology, listed among the top 10 strategic technologies since 2017, comes into play.

IT 59

IT Digital Transformation Manufacturing Modeling 59

BizAcuity

MAY 10, 2022

And how this transformation will impact businesses in the short and long run is the main discussion in this blog. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. 2017: AWS releases Translate and Transcribe, both AI tools. Cloud technology has been around since the mid-2000s.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

datapine

NOVEMBER 27, 2019

Another increasing factor in the future of business intelligence is testing AI in a duel. from 2017 , and this is one of the business analytics topics we will hear even more in 2020. The post Top 10 Analytics And Business Intelligence Trends For 2020 appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

MAY 26, 2023

In 2017, 94% of hospitals used electronic clinical data from their EHR. Cost savings: By leveraging the automation that IBM Consulting has built, tried and tested, clients can expect to reduce operating costs when IBM is managing their security environment.

Consulting 74

Consulting Cost-Benefit Optimization Machine Learning 74

Alation

AUGUST 26, 2021

HBR Review May/June 2017. Next, you test these use cases with the software chosen. Field Test Use Cases. Once you’ve defined your goals and use cases , it’s time to put them to the test. A use case may test the chosen software as a migration tool for a select portion of the total data. Subscribe to Alation's Blog.

Metadata 64

Metadata Data Governance Dashboards Software 64

DataRobot Blog

MARCH 9, 2022

The IMDB Movie Reviews Dataset provides 50,000 highly polarized movie reviews with a 50-50 train/test split. Whenever you test a machine learning method, it’s helpful to have a baseline method and accuracy level against which to measure improvements. It provides 1.6 Sentiment analysis, a baseline method.

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

Cloudera

MAY 18, 2021

It helps identify risk exposures, informs pre-trade decisions, and is reported to regulators for stress testing. 2] Bayraktar, Erhan and Munk, Alexander, Mini-Flash Crashes, Model Risk, and Optimal Execution (May 27, 2017). The post Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk appeared first on Cloudera Blog.

Risk 96

Risk Marketing Risk Management Data-driven 96