Sat.Jun 11, 2022 - Fri.Jun 17, 2022

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Translate Spanish Audio transcriptions to Quechua

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Quechua In this article, we will create an app for translating Spanish Audio transcriptions to Quechua. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. With the advent […]. The post Translate Spanish Audio transcriptions to Quechua appeared first on Analytics Vidhya.

Python 381
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Design Patterns in Machine Learning Code and Systems

Eugene Yan

Understanding and spotting patterns to use code and components as intended.

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Trending Sources

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Unlocking High-Accuracy Differentially Private Image Classification through Scale

DeepMind

According to empirical evidence from prior works, utility degradation in DP-SGD becomes more severe on larger neural network models – including the ones regularly used to achieve the best performance on challenging image classification benchmarks. Our work investigates this phenomenon and proposes a series of simple modifications to both the training procedure and model architecture, yielding a significant improvement on the accuracy of DP training on standard image classification benchmarks.

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How to Integrate DataRobot and Apache Airflow for Orchestration and MLOps Workflows

DataRobot Blog

We’re excited to announce DataRobot’s integration with Apache Airflow , a popular open source orchestration tool and workflow scheduler used by more than 12,000 organizations* across industries like financial services , healthcare , retail , and manufacturing. Airflow is a perfect tool to orchestrate stages of the DataRobot machine learning (ML) pipeline, because it provides an easy but powerful solution to integrate DataRobot capabilities into bigger pipelines, combine it with other servi

Python 59
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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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A Complete Guide on Building an ETL Pipeline for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on ETL Pipeline ETL pipelines are a set of processes used to transfer data from one or more sources to a database, like a data warehouse. Extraction, transformation, and loading are three interdependent procedures used to pull data from one database and place […].

ETL 359

More Trending

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Unlocking High-Accuracy Differentially Private Image Classification through Scale

DeepMind

According to empirical evidence from prior works, utility degradation in DP-SGD becomes more severe on larger neural network models – including the ones regularly used to achieve the best performance on challenging image classification benchmarks. Our work investigates this phenomenon and proposes a series of simple modifications to both the training procedure and model architecture, yielding a significant improvement on the accuracy of DP training on standard image classification benchmarks.

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Bias Mitigation with DataRobot

DataRobot Blog

The ability to test models for algorithmic bias is an important part of ensuring that models are fair and balanced. Many platforms, including DataRobot’s Bias and Fairness suite, allow you to do this. However, correcting the biased behavior behind the models is more challenging. We’re excited to share that we’ve now extended our Bias and Fairness capabilities to include automated Bias Mitigation.

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Insurance Charges Prediction Using MLIB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on MLIB In this MLIB article, we will be working to predict the insurance charges that will be imposed on a customer who is willing to take the health insurance, and for predicting the same PySpark’s MLIB library is the driver to […]. The post Insurance Charges Prediction Using MLIB appeared first on Analytics Vidhya.

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Spancat: a new approach for span labeling

Explosion

The SpanCategorizer is a spaCy component that answers the NLP community's need to have structured annotation for a wide variety of labeled spans, including long phrases, non-named entities, or overlapping annotations. In this blog post, we're excited to talk more about spancat and showcase new features to help with your span labeling needs!

NLP 40
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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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Bridging DeepMind research with Alphabet products

DeepMind

Today we caught up with Gemma Jennings, a product manager on the Applied team, who led a session on vision language models at the AI Summit, one of the world’s largest AI events for business.

AI 57
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How ML with Titanic Dataset Could be Misleading?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The Titanic ship disaster is one of the most infamous shipwrecks. The luxury cruiser, touted to be one of the safest when launched, sank thousands of passengers due to an accident with an iceberg. Out of 2224 passengers, 1502 passengers died due to […]. The post How ML with Titanic Dataset Could be Misleading?

ML 364
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Create Gradio Demo for Speaker Verification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this article, we will build an app for Speaker Verification using UniSpeech-SAT and X-Vectors. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. Introduction on Speaker Verification Have you ever […].

Python 360
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Scraping Data Using Octoparse for Product Assessment

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Octoparse Hello, Data enthusiasts. I am thrilled to see you here to discuss another compelling use case which supports Data Analytics and Data-Science. As you all know that invariably you should not depend on the landing area, most of the time, the […]. The post Scraping Data Using Octoparse for Product Assessment appeared first on Analytics Vidhya.

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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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Web 3.0: All You Need to Know!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Every day billions of people use the World Wide Web to read, write and share information. The web has changed over the past few years, and its current applications are nearly unrecognizable from its early days. This evolution of the web is […]. The post Web 3.0: All You Need to Know!

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The DataHour: Introduction to Tensorflow Javascript

Analytics Vidhya

Dear Readers, We bring you another episode of our DataHour series. Deep Learning is a subfield of Machine Learning, inspired by the biological neurons of a brain, and translated to artificial neural networks with representation learning. In this DataHour session, Umang will take you through a fun ride of live DEMO! We are sure that […]. The post The DataHour: Introduction to Tensorflow Javascript appeared first on Analytics Vidhya.

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Inserts, Updates, Deletes in SQLAlchemy 1.4/2.0 Core

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQLAlchemy is a library of Python or a Database Toolkit that consists of comprehensive tools to work with databases. It has two portions i.e., The Core and The ORM. You can use Python code directly to perform operations such as Create, Read, […]. The post Inserts, Updates, Deletes in SQLAlchemy 1.4/2.0 Core appeared first on Analytics Vidhya.

Python 326
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All About Data Pipeline and Kafka Basics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Kafka In old days, people would go to collect water from different resources available nearby based on their needs. But as the technology emerged, people have automated the process of getting water for their use without having to collect it from different […]. The post All About Data Pipeline and Kafka Basics appeared first on Analytics Vidhya.

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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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A Beginner’s Guide to Geospatial Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Geospatial Data Analysis Geospatial data is any type of data that has certain geographic factors like latitude, longitude, etc. geographic component simply means a location or several locations that can take the form of simple points or more complex shapes describing lines, […].

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Snowflake Architecture & Key Concepts for Data Warehouse

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Snowflake Architecture This article helps to focus on an in-depth understanding of Snowflake architecture, how it stores and manages data, as well as its conceptual fragmentation concepts. By the end of this blog, you will also be able to understand how Snowflake […].

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Cartoonify Image Using OpenCV and Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build one interesting application that will cartoonify the image provided to it. To build this cartoonifyer application we will use python and OpenCV. This is one of the exciting and thrilling applications of Machine Learning. While building […].

Python 302
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YOLO Algorithm for Custom Object Detection

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on YOLO Algorithm In this article, we are going to learn object detection using the Yolo algorithm. For this, we will be using the YOLO V5 version which is easy, simpler, and faster. Now we will see how to detect different objects […]. The post YOLO Algorithm for Custom Object Detection appeared first on Analytics Vidhya.

Algorithm 287
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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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NewSQL: The Bridge between SQL and NoSQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction NewSQL is more specific than NoSQL. Relational data and the SQL query language are the foundations of NewSQL systems. They want to address the NoSQL movement’s scalability, flexibility, and lack of focus difficulties. More consistency is provided with the new SQL.

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Introduction to Hadoop Architecture and Its Components

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hadoop is an open-source, Java-based framework used to store and process large amounts of data. Data is stored on inexpensive asset servers that operate as clusters. Its distributed file system enables processing and tolerance of errors. Developed by Doug Cutting and Michael […].

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Learn Swift for Data Science with Particle Example

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Swift Python is widely considered the best and most effective language for data science. Most of the polls and surveys that I’ve come across in recent years peg Python as the market leader in this space. But here’s the thing data science […]. The post Learn Swift for Data Science with Particle Example appeared first on Analytics Vidhya.

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Walmart Stock Price Analysis Using PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Walmart Stock Price In this article, we will be analyzing the famous Walmart Stock Price dataset using PySpark’s data preprocessing techniques here we will start everything from the very beginning and at the end of this article, one will experience the […].

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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IRIS Flowers Classification Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Classification In this article of Iris Flowers Classification, we will be dealing with Logistic Regression Machine Learning Algorithm. First, we will see logistic Regression, and then we will understand the working of an algorithm with the Iris flowers dataset. We all […].

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Linear Regression Using MLIB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Linear Regression In this article we will be learning about the Linear Regression using MLIB and everything will be hands-on i.e. we will be building an end to end Linear regression model which will predict the customer’s yearly spend on the company’s […].

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Building an ETL Data Pipeline Using Azure Data Factory

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction ETL is the process that extracts the data from various data sources, transforms the collected data, and loads that data into a common data repository. It helps organizations across the globe in planning marketing strategies and making critical business decisions. Azure Data Factory […].

ETL 251