Analytics Vidhya
MAY 21, 2022
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.
Eugene Yan
MAY 21, 2022
Mindset, 100-day plan, and balancing learning and taking action to earn trust.
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DeepMind
MAY 26, 2022
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.
DataRobot Blog
MAY 26, 2022
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.
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
Analytics Vidhya
MAY 26, 2022
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. […].
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
DeepMind
MAY 26, 2022
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.
DataRobot Blog
MAY 25, 2022
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.
Analytics Vidhya
MAY 22, 2022
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.
Defined.ai blog
MAY 24, 2022
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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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?
DeepMind
MAY 25, 2022
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.
Dlabs.ai
MAY 22, 2022
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.
Analytics Vidhya
MAY 22, 2022
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 […].
OpenAI
MAY 24, 2022
Codex is now powering 70 different applications across a variety of use cases through the OpenAI API.
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
DeepMind
MAY 25, 2022
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.
The Stanford AI Lab Blog
MAY 25, 2022
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!
Analytics Vidhya
MAY 22, 2022
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 […].
DataRobot Blog
MAY 23, 2022
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.
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.
DeepMind
MAY 25, 2022
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.
Analytics Vidhya
MAY 24, 2022
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.
Analytics Vidhya
MAY 25, 2022
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.
Analytics Vidhya
MAY 26, 2022
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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Analytics Vidhya
MAY 26, 2022
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, […].
Analytics Vidhya
MAY 22, 2022
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 […].
Analytics Vidhya
MAY 26, 2022
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.
Analytics Vidhya
MAY 25, 2022
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.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
Analytics Vidhya
MAY 25, 2022
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.
Analytics Vidhya
MAY 27, 2022
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.
Analytics Vidhya
MAY 21, 2022
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.
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