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 76

Data Science Machine Learning Experimentation Cost-Benefit 76

Cloudera

JUNE 3, 2022

When it comes to the early stages in the data science process, data scientists often find themselves jumping between a wide range of tooling. First of all, there’s the question of what data is currently available within their organization, where it is, and how it can be accessed. Let’s see this in action.

Dashboards 92

Dashboards Visualization Machine Learning Data Science 92

DataKitchen

JANUARY 5, 2021

Execution of this mission requires the contribution of several groups: data center/IT, data engineering, data science, data visualization, and data governance. Each of the roles mentioned above views the world through a preferred set of tools: Data Center/IT – Servers, storage, software.

Testing 147

Testing Data Governance Metadata Visualization 147

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

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 76

Testing Data Processing Visualization Data Science 76

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

The Data Visualisation Catalogue

JANUARY 30, 2019

While researching on the Buzz Surrounding VR Data Visualization , I found the most common claim being made was that VR allows for more “Natural” interactions with the data. So, just as you walk around your sofa or computer table, you can literally move around huge volumes of data. Pretty cool, uh?

Interactive 66

Interactive Visualization Big Data Technology 66

DataKitchen

FEBRUARY 21, 2023

are more efficient in prioritizing data delivery demands.” Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.” His team is already on Azure and uses ADF, Synapse, PowerBi, and several powerful Azure Data Science tools.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

DataKitchen

JANUARY 3, 2022

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Domino Data Lab

JUNE 13, 2019

Recently, Chhavi Yadav (NYU) and Leon Bottou (Facebook AI Research and NYU) indicated in their paper, “ Cold Case: The Lost MNIST Digits ”, how they reconstructed the MNIST (Modified National Institute of Standards and Technology) dataset and added 50,000 samples to the test set for a total of 60,000 samples. Did they overfit the test set?

Testing 83

Testing Data Science Experimentation Metadata 83

TIBCO

MARCH 22, 2021

And get a head start on upping your analytics knowledge by exploring the TIBCO Community Blog and Spotfire demo gallery. Products discussed will include TIBCO Spotfire ® , TIBCO ® Data Science, TIBCO ® Streaming, TIBCO ® Data Virtualization, TIBCO EBX , TIBCO WebFOCUS ® , and more.

Analytics 97

Analytics Manufacturing Digital Transformation Data Science 97

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 106

Data mining Machine Learning Data Science Sales 106

Cloudera

DECEMBER 17, 2020

When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform. Explainable, predictive reporting with CDP Data Visualization.

Machine Learning 82

Machine Learning Data Science Visualization Optimization 82

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. Figure 4 is a visual representation of these steps.

Testing 58

Testing Experimentation Measurement Modeling 58

Sisense

AUGUST 14, 2020

The SOINN method converts binary files to visual representations and in doing so has achieved over 94% accuracy in detecting files infected with viruses! By using a visual representation of code, the virus code can be detected without running the code and endangering the test system.

Machine Learning 98

Machine Learning Visualization Predictive Analytics Testing 98

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 68

Data Science Machine Learning Data-driven Modeling 68

datapine

APRIL 14, 2022

After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. However, the usage of data analytics isn’t limited to only these fields. Download our free summary outlining the best big data examples!

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

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. Yet, despite the complexity (or because of it), data scientists and researchers curate and use different languages, tools, packages, techniques, and frameworks to tackle the problem they are trying to solve.

Modeling 71

Modeling Machine Learning Data Science Experimentation 71

Domino Data Lab

JULY 10, 2019

For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow data scientists to speed up research. Ludwig can leverage the same data preprocessing and postprocessing on different datasets with common types.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

Smarten

MAY 31, 2022

The augmented analytics solution your business chooses must have a complete set of predictive analytical techniques with built-in, sophisticated algorithms and tools that are easy to use and will guide the user to choose the right predictive analytical technique for the data they are analyzing. Hypothesis Testing. Apply Data Filters.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

CIO Business Intelligence

OCTOBER 13, 2023

AI researchers need to understand data and automation infrastructure, machine learning models, AI tools and algorithms, data science, programming, and how to build AI models from scratch. AI writer More companies are turning to AI for content creation, including writing blog posts, product descriptions, and more.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Insight

OCTOBER 25, 2019

Image credit: [link] As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse— How do we leverage the power of AI when we have very little data?

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

Smarten

JUNE 17, 2022

After completion of the testing procedure, the certificate is provided to show that all requirements were met. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

Ontotext

APRIL 15, 2020

As all this progresses, the scientific community races against time to respond to the pandemic by developing diagnostic tests, therapies, pre-clinical and clinical research and vaccines. GraphDB’s Visual Graph can be used to explore the data as demonstrated below.

Publishing 105

Publishing Metadata Data mining Technology 105

Juice Analytics

MARCH 11, 2021

However, the data was essentially stored in old copies of the paper magazine, not a format that was conducive to delivering insights to their target audience. (3) That isn’t to say we haven’t seen many companies that believe that a massive data extract represents a useful solution to their customers. Just kidding!

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Cloudera

AUGUST 8, 2022

Exploratory data science and visualization: Access Iceberg tables through auto-discovered CDW connection in CML projects. In-place table (schema, partition) evolution: Evolve Iceberg table schema and partition layouts without costly distractions, such as rewriting table data or migrating to a new table.

Snapshot 94

Snapshot Data Warehouse Machine Learning Cost-Benefit 94

Smarten

APRIL 12, 2023

About Smarten The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 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. You can check out a self service data prep flow from catalog to viz in this recorded version here. Rita Sallam Introduces the Data Prep Rodeo. Subscribe to Alation's Blog.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

Sisense

JANUARY 15, 2020

In our Event Spotlight series, we cover the industry events of all kinds to help builders learn about the latest tech, trends, and people innovating in the data and analytics space. Tackling the world’s biggest data and analytics challenges requires a team of builders with myriad skills attacking the problem from different angles.

Big Data 89

Big Data Testing Visualization Data Science 89

AWS Big Data

MAY 4, 2023

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. Over the last decade, we’ve seen a surge in data science frameworks coming to fruition, along with mass adoption by the data science community. As the numbers of workers increased, computation times were at times halved.

Data Processing 94

Data Processing Metadata Informatics Interactive 94

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. Testing and Data Observability.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Domino Data Lab

JULY 15, 2021

In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools.

Data Science 145

Data Science Visualization Modeling Enterprise 145

Alation

SEPTEMBER 28, 2022

DataOps strategies share these common elements: Collaboration among data professionals and business stakeholders. Easy-to-experiment data development environment. Automated testing to ensure data quality. There are many inefficiencies that riddle a data pipeline and DataOps aims to deal with that. Author Bio.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

DataKitchen

MAY 10, 2021

And the worst part – data errors take the fun out of data science. Remember your first data science courses? You probably imagined your career would be about helping drive insights with data instead of having to sit in endless meetings discussing analytics errors and painstaking corrective actions.

Testing 214

Testing Manufacturing Data Quality Statistics 214

The Unofficial Google Data Science Blog

SEPTEMBER 23, 2015

It's why estimating causal effects has been at the heart of data science. Analyses might begin by exploring, visualizing, correlating. At Google, we run many such experiments around the clock, in a layered system that allows us to test hundreds of ideas simultaneously without introducing unwarranted interactions between them.

Advertising 47

Advertising Statistics Big Data Modeling 47