Cloudera

OCTOBER 14, 2020

By combining profound airline operation expertise, data science, and engine analytics to a predictive maintenance schedule, Lufthansa Technik can now ensure critical parts are on the ground (OTG) when needed, instead of the entire aircraft being OTG and not producing revenue. The Process. Fig 1: Turbofan jet engine.

Machine Learning 97

Machine Learning Modeling Cost-Benefit Testing 97

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. What is CDSW?

Data Science 71

Data Science Machine Learning Experimentation Cost-Benefit 71

Rocket-Powered Data Science

FEBRUARY 15, 2023

These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises. Keep it agile, with short design, develop, test, release, and feedback cycles: keep it lean, and build on incremental changes.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

DataRobot

MARCH 5, 2019

In a previous blog post , we introduced you to Zach Deane-Mayer, a data scientist who runs our core modeling team. One of the most important tools in his team’s arsenal is a data science performance evaluation system created and maintained by our QA team.

Testing 72

Testing Machine Learning Data Science Modeling 72

Domino Data Lab

JULY 20, 2022

We've blogged before about the importance of model validation, a process that ensures that the model is performing the way it was intended and that it solves the problem it was designed to solve. Validations and tests are key elements to building machine learning pipelines you can trust.

Machine Learning 98

Machine Learning Testing Modeling Data Integration 98

Domino Data Lab

AUGUST 6, 2021

Data science is an incredibly complex field. When you factor in the requirements of a business-critical machine learning model in a working enterprise environment, the old cat-herding meme won’t even get a smile. Let’s use an example business problem to illustrate the four steps of the data science lifecycle.

Data Science 75

Data Science Testing Modeling Publishing 75

Analytics Vidhya

JANUARY 2, 2024

Introduction In this technologically advanced era, programming languages come and go, but Python has stood the test of time, emerging as a titan in coding. Its simplicity, versatility, and robust community support have made it the go-to language for beginners and experts alike.

Testing 181

Testing Technology Analytics IT 181

Domino Data Lab

JANUARY 20, 2019

What if there was a way to quantitatively measure whether your machine learning (ML) model reflects specific domain expertise or potential bias? Testing with Concept Activation Vectors (TCAV): The Zebra. This blog post provided distilled highlights and excerpts from recent research on TCAV. Introduction.

Testing 63

Testing Modeling Machine Learning Data Science 63

Rocket-Powered Data Science

JULY 6, 2023

These AI applications are essentially deep machine learning models that are trained on hundreds of gigabytes of text and that can provide detailed, grammatically correct, and “mostly accurate” text responses to user inputs (questions, requests, or queries, which are called prompts). Guess what? It isn’t.

Statistics 152

Statistics Deep Learning Machine Learning Modeling 152

Analytics Vidhya

JANUARY 2, 2024

Introduction In this technologically advanced era, programming languages come and go, but Python has stood the test of time, emerging as a titan in coding. Its simplicity, versatility, and robust community support have made it the go-to language for beginners and experts alike.

Testing 143

Testing Technology Analytics IT 143

Alation

JULY 28, 2021

As data science processes continue to become operationalized and embedded within business processes, the importance of governing those processes continues to rise. While governance has been a major focus for many years when it comes to managing data, governance focused on data science processes is still far less mature.

Data Science 52

Data Science Data Governance Modeling Software 52

Cloudera

MARCH 26, 2024

Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. Cloudera Machine Learning Public or Private Cloud.

Cost-Benefit 79

Cost-Benefit Machine Learning Enterprise Modeling 79

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. Its value is so significant that scaling data science has become the new business imperative with organizations spending tens of millions of dollars on data, technology and talent. Data Science Techniques.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business.

Dashboards 88

Dashboards Visualization Machine Learning Data Science 88

Domino Data Lab

FEBRUARY 20, 2019

Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to candidly discuss cross-team collaboration within data science. Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to discuss cross-team collaboration within data science.

Data Science 76

Data Science Testing Software Uncertainty 76

CIO Business Intelligence

OCTOBER 13, 2023

According to the survey, 28% of respondents said they have hired data scientists to support generative AI, while 30% said they have plans to hire candidates. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Domino Data Lab

MAY 1, 2019

This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer ’s “ The Ingredients of a Reproducible Machine Learning Model ” talk at a recent WiMLDS meetup. Mawer is a Principal Data Scientist at Lineage Logistics as well as an Adjunct Lecturer at Northwestern University.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

Insight

AUGUST 16, 2019

We at Insight offer a 7 week tuition-free Fellowship to transition into Data Engineering and have worked with hundreds of Fellows who had to overcome this exact hurdle. see below for the top 10 blog posts/resources! What is Data Engineering and what is the role of a Data Engineer?

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

Testing 75

Testing Data Processing Visualization Data Science 75

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform.

Machine Learning 79

Machine Learning Data Science Visualization Optimization 79

Smarten

JANUARY 30, 2024

Business users cannot even hope to prepare data for analytics – at least not without the right tools. Gartner predicts that, ‘data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ So, why is there so much attention paid to the task of data preparation?

Analytics 67

Analytics Data Quality Visualization Metadata 67

Cloudera

MAY 22, 2018

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. let the user document, test, and share the model. let the user document, test, and share the model. Simplified user administration.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

Cloudera

MARCH 21, 2022

Data Science tools, algorithms, and practices are rapidly evolving to solve business problems on an unprecedented scale. This makes data science one of the most exciting fields to be in. Finding the right data and getting access to it are two of the top pain points we hear from our customers.

Machine Learning 80

Machine Learning Predictive Modeling Data Science Testing 80

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 83

Metrics Machine Learning Risk Statistics 83

Cloudera

OCTOBER 26, 2021

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. They released a blog this year with the results from their annual data mining, it includes the top 3 candies purchased for each state and the quantity purchased in pounds.

Data mining 101

Data mining Machine Learning Data Science Sales 101

Domino Data Lab

NOVEMBER 14, 2019

This Domino Data Science Field Note covers a proposed definition of interpretability and distilled overview of the PDR framework. James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi’s recent paper, “Definitions, methods, and applications in interpretable machine learning” Introduction.

Modeling 71

Modeling Machine Learning Data Science Experimentation 71

Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. Ways that Data-Savvy People Can Make Money with Side Hustles This Year. It uses complex data analytics features.

Data mining 134

Data mining Big Data Data-driven Data Science 134

DataRobot

JUNE 29, 2021

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. Machine learning models trained on 2019 data didn’t know what to do. Above image shows a DataRobot MLOps retraining policy set to trigger when data drift occurs. Want to Learn More?

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

IBM Big Data Hub

FEBRUARY 13, 2024

Like diligent students, these generative models soak up information and identify patterns, structures and relationships between data points, which is how they learn the grammar of poetry, artistic brushstrokes and musical melodies. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 122

Enterprise Modeling Testing Data-driven 122

IBM Big Data Hub

MARCH 2, 2022

As social impact organizations accelerate digitization, they are increasingly aware of the untapped potential lying within their data, and how AI solutions leveraging this data can amplify impact. The organizations then began incubation projects alongside the DSE team, building models and data capacity alike.

Data Science 71

Data Science Machine Learning Data-driven Modeling 71

Cloudera

APRIL 6, 2022

This blog post was written by Elizabeth Howell, Ph.D At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. AI requires good data and strong training algorithms, such as through machine learning, to make decisions about what data to send back to decision-makers.

Big Data 97

Big Data Machine Learning Insurance Data Processing 97

Cloudera

MARCH 28, 2023

How Data Drives Precision Healthcare One of the key advantages of precision healthcare is the ability to use large datasets to identify patients at a higher risk of developing a particular disease. Data is also used to identify the most effective treatments for each patient. Indiana Ave.

Machine Learning 65

Machine Learning Data-driven Risk Strategy 65

Rita Sallam

APRIL 2, 2023

We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

SEPTEMBER 28, 2020

Cloudera has found that customers have spent many years investing in their big data assets and want to continue to build on that investment by moving towards a more modern architecture that helps leverage the multiple form factors. Data Science and machine learning workloads using CDSW. Test and QA.

Testing 130

Testing Metadata Risk Data Science 130