Analytics Vidhya

JUNE 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Greetings, I am Mustafa Sidhpuri a Computer Science and Engineering student. The post Understanding The Concept Of Hypothesis In Data Science! appeared first on Analytics Vidhya.

Data Science 162

Data Science Publishing Analytics Testing 162

Analytics Vidhya

NOVEMBER 19, 2021

This is article was published as a part of the Data Science Blogathon. If we use the same labeled examples for testing our model […]. In the model-building phase of any supervised machine learning project, we train a model with the aim to learn the optimal values for all the weights and biases from labeled examples.

Machine Learning 299

Machine Learning Testing Data Science Optimization 299

Rocket-Powered Data Science

JULY 14, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Analytics 165

Analytics Internet of Things Prescriptive Analytics Data Science 165

Analytics Vidhya

JANUARY 11, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction The main objectives of a model validation include the testing. The post Validation of Classification Model appeared first on Analytics Vidhya.

Modeling 207

Modeling Testing Data Science Publishing 207

Domino Data Lab

AUGUST 9, 2021

With the right tools, your data science teams can focus on what they do best – testing, developing and deploying new models while driving forward-thinking innovation. In general terms, a model is a series of algorithms that can solve problems when given appropriate data. It’s most helpful in analyzing structured data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Analytics Vidhya

OCTOBER 5, 2020

This article was published as a part of the Data Science Blogathon. Introduction As a programmer who is engaged in the field of AI. The post Most Common Feature Selection Filter Based Techniques used in Machine Learning in Python appeared first on Analytics Vidhya.

Machine Learning 324

Machine Learning Data Science Publishing Analytics 324

Cloudera

JUNE 3, 2022

Due to the lack of tooling specifically designed for data discovery, exploration, and preliminary analysis, this presents a significant challenge for these teams. . When it comes to the early stages in the data science process, data scientists often find themselves jumping between a wide range of tooling.

Dashboards 90

Dashboards Visualization Machine Learning Data Science 90

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. In the prior setup, we maintained four specialized queues for ETL, ad hoc queries, BI tools, and data science.

Data Warehouse 88

Data Warehouse Data Lake Analytics Data Science 88

AWS Big Data

AUGUST 16, 2023

On the Code tab, choose Test , then Configure test event. Configure a test event with the default hello-world template event JSON. Configure a test event with the default hello-world template event JSON. Provide an event name without any changes to the template and save the test event.

Data Lake 68

Data Lake Metadata Testing Snapshot 68

AWS Big Data

AUGUST 2, 2023

This post was co-written by Sheel Saket, Senior Data Science Manager at FIS, and Rupesh Tiwari, Senior Architect at Amazon Web Services. The workflow includes the following steps: GitHub webhook events stream data to both Amazon S3 and OpenSearch Service, facilitating real-time data analysis.

Visualization 77

Visualization Insurance Cost-Benefit Finance 77

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 136

Management Internet of Things Statistics Data-driven 136

CIO Business Intelligence

NOVEMBER 14, 2022

With organizations increasingly focused on data-driven decision making, decision science (or decision intelligence) is on the rise, and decision scientists may be the key to unlocking the potential of decision science systems. XLSTAT is an Excel data analysis add-on geared for corporate users and researchers.

Data mining 137

Data mining Data-driven Statistics OLAP 137

CIO Business Intelligence

APRIL 14, 2022

Low code and no code options are making it easier for anyone to click a few buttons and produce a report or download a spreadsheet loaded with data, all without setting up an endless series of meetings with the developers. The companies also emphasize their connections to good artificial intelligence algorithms and data science options.

Enterprise 134

Enterprise Marketing Measurement Reporting 134

AWS Big Data

JUNE 6, 2023

In order to mature our data marts, it became clear that we needed to provide Analysts and other data consumers with all tracked digital analytics data in our DWH as they depend on it for analyses, reporting, campaign evaluation, product development and A/B testing. It consists of full-day and intraday tables.

Analytics 55

Analytics Data Lake Testing Optimization 55

DataRobot

APRIL 19, 2021

But for more complex business decisions, including those that use less structured data, we have artificial intelligence systems. Data scientists train the algorithms using datasets that contain curated learning examples. They need data assembly, data science, integration, and visualization skills.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

CIO Business Intelligence

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

MARCH 28, 2023

Test SCD Type 2 implementation With the infrastructure in place, you’re ready to test out the overall solution design and query historical records from the employee dataset. This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis.

Data Lake 68

Data Lake Testing Snapshot Sales 68

FineReport

JULY 18, 2022

Except for the rows and columns, you can also display your data through graphs and charts. For more advanced data analysis, Excel provides you with pivot tables, enabling you to analyze structured data through multiple dimensions quickly and effectively. Price: Excel is not a free tool. RapidMiner. From RapidMiner.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

The Unofficial Google Data Science Blog

SEPTEMBER 9, 2015

Sawzall is a programming language developed at Google for performing aggregation over the result of complex operations on structured data. While use of Sawzall at Google is in decline today, we believe the lessons discussed here have survived the test of time and are employed by descendant systems used throughout Google.

Data Science 56

Data Science Statistics Testing Metadata 56

Cloudera

MAY 17, 2021

Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform. Read the reports , and for more on Cloudera, sign up for a 60 day trial , or test drive CDP.

Data Warehouse 88

Data Warehouse Measurement Reporting Testing 88

Cloudera

JULY 26, 2021

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . Business and Technology Forces Shaping Data Product Development.

Strategy 115

Strategy Data Science Marketing Unstructured Data 115

IBM Big Data Hub

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For optimal performance, AI models should receive data from a diverse datasets (e.g.,

Unstructured Data 82

Unstructured Data Deep Learning Cost-Benefit Modeling 82

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

Machine Learning 261

Machine Learning Software Testing Metadata 261