Analytics Vidhya

SEPTEMBER 16, 2022

Introduction Data science is a practical subject that the experts can best explain in the field. These sessions will enhance your domain knowledge and help you learn new […]. These sessions will enhance your domain knowledge and help you learn new […]. The post Upcoming DataHour Sessions: Book your Calendars!

Data Science 349

Data Science Analytics Testing Deep Learning 349

Analytics Vidhya

MAY 29, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Artificial Neural Networks are computing systems that are inspired by. The post Artificial Neural Networks- 25 Questions to Test Your Skills on ANN appeared first on Analytics Vidhya.

Testing 312

Testing Data Science Publishing Analytics 312

Analytics Vidhya

MAY 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Computer Vision is evolving rapidly day-by-day. The post 20 Questions to Test your Skills on CNN (Convolutional Neural Networks) appeared first on Analytics Vidhya. When we talk about.

Testing 195

Testing Data Science Publishing Analytics 195

DataRobot

FEBRUARY 10, 2021

Even if all the code runs and the model seems to be spitting out reasonable answers, it’s possible for a model to encode fundamental data science mistakes that invalidate its results. As a data scientist, one of my passions is to reproduce research papers as a learning exercise. Target Leakage in a fast.ai

Modeling 98

Modeling Deep Learning Machine Learning Testing 98

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. There’s a substantial literature about ethics, data, and AI, so rather than repeat that discussion, we’ll leave you with a few resources.

Marketing 363

Marketing Experimentation Metrics Testing 363

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

O'Reilly on Data

OCTOBER 19, 2021

This introduces further requirements: The scale of operations is often two orders of magnitude larger than in the earlier data-centric environments. Not only is data larger, but models—deep learning models in particular—are much larger than before. Adapted from the book Effective Data Science Infrastructure.

IT 351

IT Testing Experimentation Software 351