Sat.May 21, 2022 - Fri.May 27, 2022

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A Guide to Gathering Requirements as Business Analyst

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. As a business analyst, we strive to deliver the projects as per the client expectations and take necessary steps to ensure that the user experience turns out be great at the end of project cycle. No matter what kind of project you have […]. The post A Guide to Gathering Requirements as Business Analyst appeared first on Analytics Vidhya.

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What I Wish I Knew About Onboarding Effectively

Eugene Yan

Mindset, 100-day plan, and balancing learning and taking action to earn trust.

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Evaluating Multimodal Interactive Agents

DeepMind

In this paper, we assess the merits of these existing evaluation metrics and present a novel approach to evaluation called the Standardised Test Suite (STS). The STS uses behavioural scenarios mined from real human interaction data.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

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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

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15 Most Common Data Science Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – pinterest.com Introduction Job interviews are…well, hard! Some interviewers ask hard questions while others ask relatively easy questions. As an interviewee, it is your choice to go prepared. And when it comes to a domain like Machine Learning, preparations might fall short. […].

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Evaluating Multimodal Interactive Agents

DeepMind

In this paper, we assess the merits of these existing evaluation metrics and present a novel approach to evaluation called the Standardised Test Suite (STS). The STS uses behavioural scenarios mined from real human interaction data.

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AI for Climate Change and Weather Risk

DataRobot Blog

Climate change and natural disasters are a concern for both the public sector and commercial organizations. The scale and costs of weather disasters in the U.S. is substantial and growing. From 2018 to 2020, the U.S. experienced 50 independent weather and climate disasters that cost over $1 billion each. In the past three decades, the National Oceanic and Atmospheric Administration (NOAA) estimates that climate and weather disasters have cost the U.S. over $1.875 trillion.

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Loan Prediction Problem From Scratch to End

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Loan Prediction Problem Welcome to this article on Loan Prediction Problem. Below is a brief introduction to this topic to get you acquainted with what you will be learning. The Objective of the Article This article is designed for people who […]. The post Loan Prediction Problem From Scratch to End appeared first on Analytics Vidhya.

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AI Regulation is on the Horizon – Part 4

Defined.ai blog

The path to ethical AI leads through an ever-changing landscape of government policy. Are you ready for the changes ahead? Regulation’s Effects on AI Business Although designed primarily for the European Union, the proposed tech policies will go beyond Europe’s borders, effectively applying to most if not all online businesses, particularly if those businesses hope to maintain access to any of the markets in the EU’s 27 member states—much like how the General Data Protection Regulation (GDPR) wa

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

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Dynamic language understanding: adaptation to new knowledge in parametric and semi-parametric models

DeepMind

To study how semi-parametric QA models and their underlying parametric language models (LMs) adapt to evolving knowledge, we construct a new large-scale dataset, StreamingQA, with human written and generated questions asked on a given date, to be answered from 14 years of time-stamped news articles. We evaluate our models quarterly as they read new articles not seen in pre-training.

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Top 10 Free Machine Learning And Artificial Intelligence Courses In 2023

Dlabs.ai

According to BCC research, the machine learning market will grow to $90.1 billion by 2026 , an almost 40% uptick in five years. That shows how companies are increasingly investing in ML solutions, often looking for skilled professionals to help them create custom software. Given the data, it’s little surprise that many people want to learn more about AI and ML and, in turn, develop the necessary skills to become a machine learning engineer.

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Organised Preprocessing for Pandas Dataframe

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Preprocessing Preprocessing is an essential step in machine learning. We underestimate preprocessing but in reality, choosing the right preprocessing for our data is equally important as choosing the right model, if not more. Most of the time we go with some […].

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Powering next generation applications with OpenAI Codex

OpenAI

Codex is now powering 70 different applications across a variety of use cases through the OpenAI API.

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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?

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Kyrgyzstan to King’s Cross: the star baker cooking up code

DeepMind

My day can vary, it really depends on which phase of the project I'm on. Let’s say we want to add a feature to our product – my tasks could range from designing solutions and working with the team to find the best one, to deploying new features into production and doing maintenance. Along the way, I’ll communicate changes to our stakeholders, write docs, code and test solutions, build analytics dashboards, clean-up old code, and fix bugs.

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Stanford AI Lab Papers and Talks at ACL 2022

The Stanford AI Lab Blog

The 60th Annual Meeting of the Association for Computational Linguistics (ACL) 2022 is taking place May 22nd - May 27th. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford!

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Building a 3D-CNN in TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on 3D-CNN The MNIST dataset classification is considered the hello world program in the domain of computer vision. The MNIST dataset helps beginners to understand the concept and the implementation of Convolutional Neural Networks. Many think of images as just a normal […].

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AI Applications for Border Transportation

DataRobot Blog

On any given day, 500,000 passengers and pedestrians, 150,000 privately owned vehicles, and approximately $7.6 billion worth of imported goods cross U.S. borders. Delays at the crossing points along the border are a recurring problem. A limited number of agents, officers, and government professionals conduct operations across more than 300 ports of entry every day, which can experience unexpected surges or declines in traffic volume.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Dynamic language understanding: adaptation to new knowledge in parametric and semi-parametric models

DeepMind

To study how semi-parametric QA models and their underlying parametric language models (LMs) adapt to evolving knowledge, we construct a new large-scale dataset, StreamingQA, with human written and generated questions asked on a given date, to be answered from 14 years of time-stamped news articles. We evaluate our models quarterly as they read new articles not seen in pre-training.

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Scraping Jobs on LinkedIn Using Scrapy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Recently I have been working on a personal project in which I want to extract the skills from the resume and match those skills with the job description to figure out how much a candidate is a good fit for a specific […]. The post Scraping Jobs on LinkedIn Using Scrapy appeared first on Analytics Vidhya.

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Amazon Price Tracking System Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Link Introduction In this article, we will be learning how we can use Python to keep track of our “wanna-buy” items on Amazon. We tend to buy the product only if it goes below a specific threshold price, to keep it […]. The post Amazon Price Tracking System Using Python appeared first on Analytics Vidhya.

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Prompt Engineering in GPT-3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction What are Large Language Models(LLM)? Most of you definitely faced this question in your data science journey. Large Language Models are often tens of terabytes in size and are trained on massive volumes of text data, occasionally reaching petabytes. They’re also among the models with the most […].

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Adding Explainability to Clustering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The ability to explain decisions is increasingly becoming important across businesses. Explainable AI is no longer just an optional add-on when using ML algorithms for corporate decision making. While there are a lot of techniques that have been developed for supervised algorithms, […].

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Introduction to Azure Databricks Notebook

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Databricks Hello!, techies, I am sure this article will help you understand how to use Azure Databricks notebook to perform data-related operations in it. Let’s go! Databricks Databricks Data Science & Engineering (sometimes called simply “Workspace“) is an analytics platform based […].

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Comparison of the RMS Energy and the Amplitude Envelope

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered what an audio’s Amplitude Envelope and RMS energy are? And, if you had to choose, which of these do you believe would be most resilient to outliers? If these questions pique your interest, then this article is for […]. The post Comparison of the RMS Energy and the Amplitude Envelope appeared first on Analytics Vidhya.

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An End-to-end Guide on Building a Regression Pipeline Using Pyspark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Link Introduction In this article, we are going to discuss machine learning with Spark in Python. Our goal is to build a regression Pipeline that works in Spark and gives a real-time prediction. We will discuss the Spark MLlib package in detail for […]. The post An End-to-end Guide on Building a Regression Pipeline Using Pyspark appeared first on Analytics Vidhya.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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The DataHour: Introduction to Blockchain

Analytics Vidhya

Dear Readers, When the entire world is so buzzed with the word ‘Blockchain’ How can we leave our readers behind? Some of us are already aware and part of the cryptocurrency world and most of us still have our apprehensions. So, let us join Valerii Babushkin who is head of Data Science at Blockchain and […]. The post The DataHour: Introduction to Blockchain appeared first on Analytics Vidhya.

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An Introduction to Hadoop Ecosystem for Big Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Every day the internet generates billions of bytes of data. Every time you put on a dog filter, watch cat videos or order food from your favourite restaurant, you generate data. Imagine how much data millions of other people are doing the […]. The post An Introduction to Hadoop Ecosystem for Big Data appeared first on Analytics Vidhya.

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Data Preprocessing Using PySpark – Filter Operations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Data Preprocessing In this article, we will learn how to perform filtering operations, so why do we need filter operations? The answer is being a data engineers we have to deal with clusters of data and if we will start analyzing […]. The post Data Preprocessing Using PySpark – Filter Operations appeared first on Analytics Vidhya.