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., Training invariant support vector machines. 1999) and more.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Domino Data Lab

JANUARY 6, 2019

Meanwhile, employers who are betting that their teams accomplish substantial projects in data science, machine learning, data engineering, artificial intelligence, etc., I can plot a line from high school “Algebra II” to the math needed for machine learning. Data visualization for prediction accuracy ( credit: R2D3 ).

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Hurwitz & Associates

MAY 21, 2019

Insights applies machine learning (ML) models to a customer’s operations data. 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. This reflects the wider business-unit interest in acquiring cloud services.

Software 40

Software Enterprise Machine Learning Management 40

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. The Internet of Things (IoT) – sensors and other technologies attached to objects – advanced analytics, and machine learning (ML) would all be applied to capture data.

Digital Transformation 119

Digital Transformation Internet of Things Dashboards IoT 119

Rita Sallam

JULY 31, 2017

Machine learning automation is affecting all of enterprise software, but will completely transform how we build, analyze, and consume data and analytics. Over the past 10 years or more, visual-based data discovery tools (e.g. Tableau, Qlik, Tibco Spotfire) have disrupted the traditional BI market (e.g. Happy Summer!!

Marketing 72

Marketing Analytics Machine Learning Data Science 72

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 105

Data Lake Visualization Optimization Interactive 105

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

Rita Sallam

NOVEMBER 11, 2016

We also learned a lot about Tableau’s roadmap for the next 12 to 24 months in the main keynote from fan favorites, Christian Chabot, founder and now Chairman of the Board, Francois Ajenstat, Chief Product Officer, Andrew Beers, Chief Development Officer and Dan Jewett, VP of Product Management. What’s on Deck for 2017? Enterprise Features.

Visualization 49

Visualization Metrics Machine Learning Enterprise 49

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

Insight

DECEMBER 30, 2019

Once these features have been extracted from the image, they can be fed into any machine learning algorithm (e.g. support vector machine) for object detection or another computer vision task. Take a look at this animation from Wikipedia to visualize what is happening: Figure 3?—?animation a “warped wall detector.”

Visualization 72

Visualization Modeling Machine Learning IT 72

BizAcuity

MAY 10, 2022

Microsoft also releases Power BI, a data visualization and business intelligence tool. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. 2015: Google announces Google Kubernetes Engine for the cloud. He puts forth a mobile-first, cloud-first strategy. Google releases Kubernetes.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. I double-dare you not to visualize that cohort! and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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

Cloudera

MAY 16, 2018

This post describes how native visual analytics on a Cloudera Enterprise Data Hub is the keystone that supports a holistic trade surveillance program. This example took place in 2015 and was only discovered through extensive cross-jurisdictional coordination among global regulatory bodies. Going Forward: Improved Economics.

Data Lake 41

Data Lake Risk Visualization Unstructured Data 41

DataRobot Blog

APRIL 1, 2018

1) People and machines come together to create a more powerful and agile experience. In Rita Sallam’s July 27 research, Augmented Analytics , she writes that “the rise of self-service visual-bases data discovery stimulated the first wave of transition from centrally provisioned traditional BI to decentralized data discovery.”

Analytics 40

Analytics IoT Internet of Things B2B 40

AWS Big Data

FEBRUARY 1, 2023

Furthermore, it created further opportunities for our data scientists and engineers to use AI and machine learning (ML) services to continuously feed and analyze data. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. In his spare time, he enjoys hiking.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Hurwitz & Associates

FEBRUARY 26, 2019

One of the biggest challenges as businesses adopt cloud and machine learning/AI as their platform is the ability to have consistency and predictability and manageability. IBM has developed a dashboard that enables the customer to visually see everything that is running and performing across platforms. What does it all mean?

Software 40

Software Strategy Machine Learning Management 40

Hurwitz & Associates

FEBRUARY 26, 2019

One of the biggest challenges as businesses adopt cloud and machine learning/AI as their platform is the ability to have consistency and predictability and manageability. IBM has developed a dashboard that enables the customer to visually see everything that is running and performing across platforms. What does it all mean?

Software 40

Software Strategy Machine Learning Management 40

Occam's Razor

AUGUST 28, 2017

Machine Learning is already changing lots of fields, the one I’m most excited about is what’s happening in healthcare. From the ability to speed up discovery of new medicines to the unbelievable speed with which Machine Learning techniques are becoming particularly adept at diagnosis (think blood reports, X-rays, cancers etc.).

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

The Unofficial Google Data Science Blog

APRIL 23, 2024

Figure 4: Visualization of a central composite design. G - Reference, Information and Interdisciplinary Subjects Series, Harvard Business Review Press, 2015. [9] Brazilian Journal of Probability and Statistics, 29(1):53 – 70, 2015. [21] Journal of Machine Learning Research, 17(83):1–5, 2016. [23] Keeney, and H.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

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. 2015) for additional details. See Wei et al. Ribeiro, M.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? Usually it’s human-generated text, but not always. part of speech.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110