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.
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 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: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
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 […].
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 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.
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 […].
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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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
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 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. […].
OpenAI
MAY 24, 2022
Codex is now powering 70 different applications across a variety of use cases through the OpenAI API.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
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 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, […].
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.
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Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.
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 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. 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 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: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Analytics Vidhya
MAY 26, 2022
This article was published as a part of the Data Science Blogathon. Introduction Artificial Intelligence has made it possible for machines to learn from experience and adjust to new inputs and perform human-like tasks. The rising popularity of AI apps that can apply cool filters to the human face, edit videos, and create funny deepfakes have […].
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 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 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.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
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 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.
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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