Sat.Feb 12, 2022 - Fri.Feb 18, 2022

article thumbnail

K-Fold Cross Validation Technique and its Essentials

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image designed by the author Introduction Guys! Before getting started, just […]. The post K-Fold Cross Validation Technique and its Essentials appeared first on Analytics Vidhya.

article thumbnail

Intelligence and Comprehension

O'Reilly Media

I haven’t written much about AI recently. But a recent discussion of Google’s new Large Language Models (LLMs), and its claim that one of these models (named Gopher) has demonstrated reading comprehension approaching human performance , has spurred some thoughts about comprehension, ambiguity, intelligence, and will. (It’s well worth reading Do Large Models Understand Us , a more comprehensive paper by Blaise Agüera y Arcas that is heading in the same direction.).

LLM 119
professionals

Sign Up for our Newsletter

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

article thumbnail

Mailbag: How to Define a Data Team's Vision and Roadmap

Eugene Yan

I'm heading into a team lead role and would like to define the vision and roadmap.

100
100
article thumbnail

Accelerating fusion science through learned plasma control

DeepMind

Successfully controlling the nuclear fusion plasma in a tokamak with deep reinforcement learning

78
article thumbnail

4 HR Predictions for 2025: Supercharge Your Employee Experience with Internal Communications

Speaker: Carolyn Clark and Miriam Connaughton

The future of HR is here, and it's all about collaboration, innovation, and impact. Join us for a forward-thinking session where seasoned experts Miriam and Carolyn will share insights and practical strategies to help you stay ahead of evolving HR trends. Discover how to build strong partnerships with internal teams to craft a transparent, authentic, and connected workforce experience.

article thumbnail

Linear Regression with Python Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Introduction If you are reading this article, I am assuming that you are already familiar with Machine Learning, and have a basic idea about it. If not no worries, we will go through step by step to understand Machine Learning and Linear […]. The post Linear Regression with Python Implementation appeared first on Analytics Vidhya.

Python 305

More Trending

article thumbnail

Red Flags to Look Out for When Joining a Data Team

Eugene Yan

What to consider for in terms of data, roadmap, role, manager, tooling, etc.

100
100
article thumbnail

Accelerating fusion science through learned plasma control

DeepMind

Successfully controlling the nuclear fusion plasma in a tokamak with deep reinforcement learning

57
article thumbnail

A Quick Guide to Bivariate Analysis in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In all kinds of data science projects across domains, EDA (exploratory data analytics) is the first go-to analysis, without which the analysis is incomplete or almost impossible to do. One of the key objectives in many multi-variate analyses is to understand relationships between […].

Python 305
article thumbnail

Integrated Healthcare Means Integrated Data

DataRobot Blog

“Integrated healthcare” has become a bit of a buzzword as of late, but no one has settled on just one definition for the term. A 2016 paper that sought to explain integrated care , laid out four different definitions and five different conceptual frameworks. But if you break down these various definitions—and the hundreds of others that are out there— integrated care is collaborative and connected care.

article thumbnail

Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

article thumbnail

How to change your order in 10,000 different ways

Bitext

How Synthetic Text can solve your training and evaluation problems for your virtual assistants / chatbots When shopping online, customers frequently have the need to modify their order: exchanging an item in the basket, deleting something already added… Customers ask for these kinds of changes in many different ways, like “how do I change my order?” or “I need to delete a product from my basket”.

article thumbnail

Pose Detection Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss some of the basic concepts related to Pose Detection. This article will cover a problem of the Computer Vision section of machine learning. In this article, we will gain knowledge of working with Image data and […]. The post Pose Detection Using Computer Vision appeared first on Analytics Vidhya.

article thumbnail

Introductory Note on Imputation Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning models are garbage in garbage-out boxes, and it is essential to address any missing data before feeding it to your model. Missing data in your dataset could be due to multiple reasons like 1) The data was not available. 2) The […]. The post Introductory Note on Imputation Techniques appeared first on Analytics Vidhya.

article thumbnail

Text Cleaning Methods in NLP | Part-2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the first part of the series, we saw some most common techniques which we daily use while cleaning the data i.e. text cleaning in NLP. I would recommend if you haven’t read it first read it, which will help you in […]. The post Text Cleaning Methods in NLP | Part-2 appeared first on Analytics Vidhya.

NLP 268
article thumbnail

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. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

article thumbnail

Classification without Training Data: Zero-shot Learning Approach

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Computer vision is a field of A.I. that deals with deriving meaningful information from images. Since 2012 after convolutional neural networks(CNN) were introduced, we moved away from handcrafted features to an end-to-end approach using deep neural networks. These are easy to develop […].

article thumbnail

Introducing The DataHour Series – Webinars with Industry Leaders

Analytics Vidhya

Introduction The word community has become a buzzword across the globe. Businesses have realized the power of community-led growth and are heavily invested in building and continuously giving to the audience. Well.guess what? At Analytics Vidhya, the community has been at the forefront since its inception with aim of building the best AI ML ecosystem […].

ML 234
article thumbnail

Importance of Data Governance and its Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] What is DATA by Definition? Source: [link] Data are details, facts, statistics, or pieces of information, typically numerical. Data are a set of values of qualitative or quantitative variables about one or more persons or objects. While running a huge […]. The post Importance of Data Governance and its Principles appeared first on Analytics Vidhya.

article thumbnail

Lambda Functions in Python | Map, Filter, and Reduce

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hello, and welcome to the beautiful article where we will learn and discuss various facts related to python Lambda functions. Python is a dynamic yet straightforward typed language, and it provides multiple libraries and in-built functions. There are different methods to perform the […].

Python 232
article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

article thumbnail

A Basic Introduction to OpenCV in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. OpenCV is a massive open-source library for various fields like computer vision, machine learning, image processing and plays a critical function in real-time operations, which are fundamental in today’s systems. It is deployed for the detection of items, faces, Diseases, lesions, Number plates, […].

article thumbnail

DataRobot Explainable AI: Machine Learning Untangled

DataRobot Blog

In the past decade, we’ve seen an explosion in the usage of AI. From predicting which customers are likely to churn to forecasting inventory demand, businesses are adopting AI more and more frequently. With any AI solution , you want it to be accurate. But just as important, you want it to be explainable. It can be difficult to convince stakeholders at your organization to trust a model, even if it’s 90% accurate, if it’s unclear how a model arrives at decisions.