Sat.Apr 16, 2022 - Fri.Apr 22, 2022

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What to Do After Deploying Your Model to Production?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Congratulations, you have deployed a model to production; it is an achievement for you and your team! In a normal software engineering development cycle, you would now sit back and relax; however, in the machine learning development cycle, deployment to production is just about […].

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Offline RL Made Easier: No TD Learning, Advantage Reweighting, or Transformers

BAIR

A demonstration of the RvS policy we learn with just supervised learning and a depth-two MLP. It uses no TD learning, advantage reweighting, or Transformers! Offline reinforcement learning (RL) is conventionally approached using value-based methods based on temporal difference (TD) learning. However, many recent algorithms reframe RL as a supervised learning problem.

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How to Measure and Mitigate Position Bias

Eugene Yan

Introducing randomness and/or learning from inherent randomness to mitigate position bias.

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Picaroons Contract Review

StreamHacker

The Picaroons is a new NFT collection by Alex Lucas , with support from Pranksy. Holders of certain NFTs by Alex were able to mint up to 2 tokens, then during public mint anyone could mint 2 tokens (and previous minters could mint 2 more). The 10k collection quickly sold out during public mint, and is now only available on secondary marketplaces. An interesting thing about this contract is the extra effort into preventing bots from minting directly from the contract.

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How To Get Promoted In Product Management

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.

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Track Your Trip Through an OBD system Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Most drivers nowadays are quite familiar with all the indicators on their car dashboard. In more detail, each indicator is a part of an information signal that constantly works to monitor the car’s health status, which can be diagnosed through an OBD […]. The post Track Your Trip Through an OBD system Using Python appeared first on Analytics Vidhya.

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HIMSS 2022: Looking Forward

DataRobot Blog

Another year at HIMSS has come and gone and DataRobot remains as energized as ever! This year was a big moment for the DataRobot team. We debuted our growing and dedicated healthcare organization, offered a preview of the AI Cloud DataRobot 8.0 release, and – most importantly – had hundreds of conversations surrounding the impact of AI and the substantial support for the healthcare industry.

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Determining the Market Price of Old Vehicles Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Selling old stuff had always been a hassle in earlier times. No matter how good an item might have been, finding a buyer and getting the appropriate Market price was always a challenge. One was only able to sell items within a […]. The post Determining the Market Price of Old Vehicles Using Python appeared first on Analytics Vidhya.

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Predicting SONAR Rocks Against Mines with ML

Analytics Vidhya

This article was published as a part of the Machine Learning. Introduction This article is about predicting SONAR rocks against Mines with the help of Machine Learning. SONAR is an abbreviated form of Sound Navigation and Ranging. It uses sound waves to detect objects underwater. Machine learning-based tactics, and deep learning-based approaches have applications in […].

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The DataHour: Artificial Intelligence in Retail

Analytics Vidhya

Dear Readers, We are back with another episode of our flagship learning series on data analytics, “The DataHour”. In this edition, Dr. Shantha Mohan, Mentor and Project Guide at Carnegie Mellon University’s Integrated Innovation Institute, will guide you through “Artificial Intelligence in Retail” applications. Machine learning plays a vital role in Retail Management, primarily due […].

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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What is MySQL Partitions and its Types?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In today’s data-driven world, organisations work with massive datasets and leverage some aspects of this data for their day-to-day operations. Data professionals in such companies prefer to have small partitions of data as it allows them to analyse and manipulate information without any hassle. […].

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An Overview of HDFS: NameNodes and DataNodes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Modern applications and products deal with large amounts of data. The quantity of data being processed and utilised in modern times is enormous. So, the question arises? How to manage large files and data. Data size soon outgrows a machine’s storage limit […].

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Getting Started with PySpark Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be getting our hands dirty with PySpark using Python and understand how to get started with data preprocessing using PySpark. This particular article’s whole attention is to get to know how PySpark can help in the data cleaning process […].

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Data Exploration and Visualisation Using Palmer Penguins Dataset

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Artwork by @allison_horst Introduction It is almost impossible […]. The post Data Exploration and Visualisation Using Palmer Penguins Dataset appeared first on Analytics Vidhya.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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A Complete Guide to Pyjanitor for Data Cleaning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As a Machine Learning Engineer or Data Engineer, your main task is to identify and clean duplicate data and remove errors from the dataset. It is good to spend some time preparing the data and making it reliable for the machine learning models. The […]. The post A Complete Guide to Pyjanitor for Data Cleaning appeared first on Analytics Vidhya.

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A Detailed Study on COVID 19 Vaccinations Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The global battle against COVID 19 pandemic can be won only if a large part of the world gets vaccinated against the SARS-CoV-2 virus. A considerably low vaccination rate has been observed in low-income countries of the world. In this blog, we study […]. The post A Detailed Study on COVID 19 Vaccinations Data appeared first on Analytics Vidhya.

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Moving from Red AI to Green AI, Part 2: A Practitioner’s Guide to Efficient Machine Learning

DataRobot Blog

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. We also talked about the increased interest in green AI, in which we not only measure the quality of a model based on accuracy but also how big and complex it is. We covered different ways of measuring model efficiency and showed ways to visualize this and select models based on it.

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Moving from Red AI to Green AI, Part 1: How to Save the Environment and Reduce Your Hardware Costs

DataRobot Blog

Machine learning, and especially deep learning, has become increasingly more accurate in the past few years. This has improved our lives in ways we couldn’t imagine just a few years ago, but we’re far from the end of this AI revolution. Cars are driving themselves, x-ray photos are being analyzed automatically , and in this pandemic age, machine learning is being used to predict outbreaks of the disease , help with diagnosis, and make other critical healthcare decisions.

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How to Improve Email Deliverability and Optimize Each Send

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.