article thumbnail

Meta Tests AI Chatbot “Meta AI” with WhatsApp & Instagram Users in India

Analytics Vidhya

Meta is testing its AI chatbot, Meta AI, with select users across Instagram, Messenger, and WhatsApp in India and other countries. Meta AI is an artificial […] The post Meta Tests AI Chatbot “Meta AI” with WhatsApp & Instagram Users in India appeared first on Analytics Vidhya. What is Meta AI?

Testing 284
article thumbnail

A Comprehensive Guide to Train-Test-Validation Split in 2023

Analytics Vidhya

The problem is that you may not have new data, but you can still experience this with a procedure like train-test-validation split. Isn’t it interesting to see how your model performs on a data set? […] The post A Comprehensive Guide to Train-Test-Validation Split in 2023 appeared first on Analytics Vidhya.

Testing 315
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Mann-Kendall Trend Test Using Python

Analytics Vidhya

Introduction The Mann-Kendall trend test, named after H. Kendall, It’s non-parametric test used to determine the trend to be significant overtime. Since it is non-parametric test so we don’t have to worry about distribution of the data. Mann and D. The trend can be monotonically increasing or decreasing overtime.

Testing 295
article thumbnail

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 331
article thumbnail

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.

article thumbnail

ChatGPT Scores Top 1% in Human Creativity Test

Analytics Vidhya

The study reveals that ChatGPT can now compete with the top 1% of human thinkers in a standard creativity test. Dr. Erik Guzik, an assistant clinical professor at UM’s College of Business, led the study, utilizing […] The post ChatGPT Scores Top 1% in Human Creativity Test appeared first on Analytics Vidhya.

Testing 271
article thumbnail

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 […].

article thumbnail

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.

article thumbnail

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. This Buyer’s Guide helps you find easy-to-use technology to become more proactive and less reactive when it comes to network design and optimization.

article thumbnail

Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

Discover how the AIMMS IDE allows you to analyze, build, and test a model. Not being able to envision various organizational scenarios means you won't be able to navigate them, leaving you dead in the water. Experience how efficient you can be when you fit your model with actionable data.

article thumbnail

When Life Gives You Lemons Make PM Lemonade: Surviving Product Management During Crisis

Speaker: Vivek Bedi, Keynote Speaker, Author & Entrepreneur

The work/life balance of PMs is being tested; managing a product team and various roadmaps virtually adds to the list of current challenges. In fact, the entire way product managers work has completely changed. Meanwhile many professionals are exploring if pivoting into product management is a career path for them.

article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. Aarushi Kansal, AI leader, is here to explore ongoing testing and evaluation strategies tailored specifically for LLM-based applications. It’s no surprise given the non-deterministic nature of LLMs.

article thumbnail

Using Continuous Customer Testing for Pandemic-Proof Product Success

Speaker: Luke Freiler, CEO and co-founder of Centercode

He's going to walk you through an agile process for continuous customer testing that saves you time and gives you full confidence in your products — no matter how many you're sending out the door this year. How to expand product test coverage — even when budget cuts leave you short-handed.

article thumbnail

Test Your Knowledge of Sales & Operations Execution

Test Your Knowledge of Sales & Operations Execution. Many supply chain professionals have already taken this assessment spanning across multiple industries and 20 countries. The 15-question assessment takes only 5 minutes to complete. Take it now to see how your S&OE process scores and benchmark it against peers.

article thumbnail

How To Design Your Next Roadmap with Data-Driven Pit Stops Masterclass

Speaker: Sonia Singhal, Product Manager at eBay

These days, a simple A/B test can seem to incorporate the whole alphabet, and making a decision from that data isn't as easy as A, B, C either. How do we know we are testing the right thing? How can we shorten the time it takes to do the tests while gaining larger amounts of data? A Live/On-Demand Masterclass.