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An Introduction to Hypothesis Testing

Analytics Vidhya

The post An Introduction to Hypothesis Testing appeared first on Analytics Vidhya. ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction: Many problems require that we decide whether to accept or.

Testing 391
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Unit Test framework and Test Driven Development (TDD) in Python

Analytics Vidhya

Running unit tests in data science and data engineering projects assures data quality. The post Unit Test framework and Test Driven Development (TDD) in Python appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon Overview Running data projects takes a lot of time.

Testing 342
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5 Statistical Tests Every Data Scientist Should Know

Analytics Vidhya

A fundamental understanding of statistical tests is necessary to derive insights from any data. These tests allow data scientists to validate hypotheses, compare groups, identify relationships, and make predictions with confidence.

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Understanding hypothesis testing through an end to end case study

Analytics Vidhya

” The only way to test the hypothesis is to look for all the information that disagrees with it – Karl Popper“ Hypothesis Testing comes under a broader subject of Inferential Statistics where we use data samples to draw inferences on the population […].

Testing 398
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity.

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Hypothesis Testing in Inferential Statistics

Analytics Vidhya

Introduction Hypothesis testing is one of the most important techniques applied in various fields such as statistics, economics, pharmaceutical, mining and manufacturing industries. The post Hypothesis Testing in Inferential Statistics appeared first on Analytics Vidhya.

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Writing Test Cases for Machine Learning systems

Analytics Vidhya

Introduction Testing forms an integral part of any software development project. Testing helps in ensuring that the final product is by and large, free of defects and it meets the desired requirements. Proper testing in the development phase helps in identifying the critical errors […].

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Best Practices for Deploying & Scaling Embedded Analytics

You can get new capabilities out the door quickly, test them with customers, and constantly innovate. Embedding analytics in your application doesn’t have to be a one-step undertaking. In fact, rolling out features gradually is beneficial because it allows you to progressively improve your application.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Best Practices for Creating Long-Lasting and Continuous Discovery Habits

Speaker: Teresa Torres, Internationally Acclaimed Author, Speaker, and Coach at ProductTalk.org

As a result, many of us are still stuck in a project-world rut: research, usability testing, engineering, and a/b testing, ad nauseam. Industry-wide, product teams have adopted discovery practices like customer interviews and experimentation merely for end-user satisfaction.

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New Planning Maturity Assessment

Test your Planning Fitness. In today's new supply chain paradigm, resilience and agility are key. Is your planning process fit enough to keep up with the pace of change? Is your tech stack helping or hindering your progress? Take AIMMS's new quiz to uncover learnings and benchmark yourself against peers!

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New Planning Maturity Assessment

Test your Planning Fitness. In today's new supply chain paradigm, resilience and agility are key. Is your planning process fit enough to keep up with the pace of change? Is your tech stack helping or hindering your progress? Take AIMMS's new quiz to uncover learnings and benchmark yourself against peers!

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100 Pipeline Plays: The Modern Sales Playbook

Apply tested plays to your funnel - Use real-world scenarios, triggers, actions and expected results to improve your entire funnel. Use our proven data-driven plays to grow your pipeline and crush your revenue targets. Close more deals with these winning plays!

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The Recruiting Crossword Puzzle

Test your recruiter-brain with this crossword puzzle, which reveals the best ways to move forward in your efforts with every answer! You can solve your recruiting problems using new tools and data specifically designed to help do your job: find top passive talent and fill those open reqs – faster than you thought possible.

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Buyer's Guide for Supply Chain Network Design Software

As a result, most organizations struggle to answer network design questions or test hypotheses in weeks, when results are demanded in hours. Network design as a discipline is complex and too many businesses are still relying on spreadsheets to design and optimize their supply chain.