Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. PDPs for the bicycle count prediction model (Molnar, 2009).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Data Science and Beyond

JANUARY 11, 2020

When I started my PhD in 2009, the plan was to work on sentiment analysis of opinion polls. This got me into applied machine learning using Java and Weka , with which I made some modest contributions to the field. What can one do to remain relevant in such an environment? Read this post to find out. Highlights from my past.

Software 103

Software Data Science Machine Learning Deep Learning 103

Cloudera

NOVEMBER 9, 2022

“I chose to join Cloudera among other opportunities I had at the time because its products touch the artificial intelligence (AI) and machine learning (ML) sectors,” he explained. And analytics is a prerequisite to be able to do machine learning or artificial intelligence of any kind.

Strategy 87

Strategy Management Consulting Machine Learning 87

DataRobot Blog

FEBRUARY 16, 2022

Within several years of Electronic Health Records (EHRs) being pushed by the Obama administration in 2009, 78% of physicians reported that EHRs enhanced patient care and 65% reported the records help identify potential medication errors. And once the data is in one place, a new challenge emerges:harnessing its power. More information.

Machine Learning 52

Machine Learning Reporting Metrics Data Integration 52

Domino Data Lab

MAY 20, 2021

Machine Learning algorithms often need to handle highly-imbalanced datasets. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 57–78. UCI machine learning repository. Machine learning for the detection of oil spills in satellite radar images.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

CIO Business Intelligence

JULY 18, 2023

The market for using GPUs as general-purpose processors (GPGPUs) really opened up in 2009, when OpenGL publisher Khronos Group released Open Computing Language (OpenCL). One of the first applications for CUDA was in oil and gas exploration, processing the mountains of data from geological surveys.

Manufacturing 98

Manufacturing Forecasting Software Marketing 98

Smart Data Collective

FEBRUARY 14, 2023

This includes utilizing personalization technology, which relies heavily on machine learning. In 2009, the company launched a mobile app that lets users order meals from any of its stores across the globe. The best part is that many of these web apps are using AI technology to provide the optimal user experience.

Risk 116

Risk Technology Optimization Machine Learning 116

DataRobot

JUNE 17, 2021

This search for mathematical formulas makes Eureqa different from other machine learning algorithms. In such situations, traditional supervised machine learning models may be unable to learn.) You can give Eureqa that known relationship as a building block or a starting point to learn from. References.

Modeling 52

Modeling Experimentation Machine Learning Measurement 52

Sisense

MARCH 20, 2019

Microsoft Cloud Azure : Microsoft Azure training library comes complete with an initial content selection that gets you excited about MS Azure, then lets you go on to certification, machine learning and AI, and even data management solutions. Start quick with the fundamentals and move on to certification and machine learning.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

Smarten

JUNE 17, 2022

” The Information Technology Amendment Act of 2009 designated CERT-IN as the national agency to perform functions for cyber security, including the collection, analysis and dissemination of information on cyber incidents, as well as taking emergency measures to handle incidents and coordinating cyber incident response activities.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. As Domino seeks to help data scientists accelerate their work, we reached out to AWP Pearson for permission to excerpt the chapter “Real Estate” from the book, Pragmatic AI: An Introduction to Cloud-Based Machine Learning by Noah Gift.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JUNE 8, 2021

The intuition here is that a decision boundary that leaves a wider margin between the classes generalises better, which leads us to the key property of support vector machines — they construct a hyperplane in a such a way that the margin of separation between the two classes is maximised (Haykin, 2009). Machine learning: Ecml-98 (pp.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

DataRobot

APRIL 12, 2021

In 2009, an Iridium Communications satellite and a Soviet-era satellite collided 500 miles above Siberia, creating thousands of pieces of debris. Achieving that goal will require sophisticated AI modeling and machine learning. As Kessler said, “That could make space unusable for hundreds of years.”.

Software 52

Software Machine Learning Dashboards Modeling 52

Smart Data Collective

APRIL 5, 2019

For example, the company Tweetdeck was ahead of their game when they recognized the need for businesses to engage with their customers back in 2009. It leverages expert systems and deep machine learning to provide actionable customer experience insights. During this time, they raised $300,000 in seed funds, $3.5

Big Data 79

Big Data Interactive Data-driven Metrics 79

datapine

JANUARY 31, 2022

This company was originally founded in 2009 as a black car-hailing service in San Francisco. The fifth benefit of implementing business intelligence and data analytics into your company is the use of predictive analytics. A great use case of this benefit is Uber.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Domino Data Lab

APRIL 21, 2021

In this article, we’ll discuss the challenge organizations face around fraud detection, how machine learning can be used to identify and spot anomalies that the human eye might not catch. Learning from Imbalanced Data. It can be implemented as either unsupervised (e.g. model.save_model("smote_fraud.xgb").

Statistics 69

Statistics Machine Learning Modeling Metrics 69

bridgei2i

APRIL 16, 2021

He has over a decade of experience in the field of AI, which he started with his paper on machine learning in 2009. And I still have to come to terms with the fact that he had published his first paper on machine learning when I was in the seventh standard. His journey to the field of AI is an interesting one.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. When he retired in 2009 he had some time on his hands. Please help us make sense of it.”

Data Science 112

Data Science Machine Learning Advertising Modeling 112

BizAcuity

MAY 10, 2022

2009: Amazon releases its own Relational Database Services on cloud to simplify set up and operations. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. Google releases Kubernetes.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Here’s the post in it’s entirety (with apologies to Billy Joel).

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

CIO Business Intelligence

OCTOBER 3, 2023

Clean air, inside and out Founded in 2009, ActoVent was initially a specialist wholesaler for residential ventilation, but expanded to include air filters and protective products for a range of buildings, air measurement technology, and maintenance and consulting services.

Digital Transformation 103

Digital Transformation Consulting Data-driven Machine Learning 103

CIO Business Intelligence

JUNE 26, 2023

Between the host of regulations introduced in the wake of the 2009 subprime mortgage crisis, the emergence of thousands of fintech startups, and shifting consumer preferences for digital payments banking, financial services companies have had plenty of change to contend with over the past decade.

Data-driven 97

Data-driven Insurance Risk Risk Management 97

Edwin Chen

JANUARY 7, 2013

— Janis Krums (@jkrums) January 15, 2009. Finally, after a response from a judge is received, we push the information to our backend systems, so that the next time a user searches for a query, our machine learning models will make use of the additional information. link] - There’s a plane in the Hudson.

Statistics 73

Statistics Machine Learning Advertising Metadata 73