Analytics Vidhya

JUNE 12, 2022

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 399

Python Data Science 399

Eugene Yan

JUNE 11, 2022

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

Machine Learning 130

Machine Learning 130

DeepMind

JUNE 16, 2022

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.

Neural Network 57

Neural Network 57

DataRobot Blog

JUNE 16, 2022

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

Python ML Machine Learning Data Ingestion 59

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

JUNE 12, 2022

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 391

ML Data Science Machine Learning 391

DeepMind

JUNE 16, 2022

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.

Neural Network 57

Neural Network 57

DataRobot Blog

JUNE 14, 2022

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.

Automation 59

Automation Algorithm AI AI 59

Analytics Vidhya

JUNE 12, 2022

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 383

Python Data Science 383

Explosion

JUNE 13, 2022

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

NLP 40

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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?

Generative AI

DeepMind

JUNE 14, 2022

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

AI AI 57

Analytics Vidhya

JUNE 17, 2022

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.

Data Science 379

Data Science Machine Learning 379

Analytics Vidhya

JUNE 13, 2022

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 353

ETL Data Science 353

Analytics Vidhya

JUNE 11, 2022

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 […].

Data Science 333

Data Science ETL 333

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.

LLM

Analytics Vidhya

JUNE 17, 2022

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!

Data Science 330

Data Science Machine Learning Artificial Intelligence Artificial Intelligence 330

Analytics Vidhya

JUNE 17, 2022

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 330

Python Data Science 330

Analytics Vidhya

JUNE 11, 2022

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.

Data Science 331

Data Science 331

Analytics Vidhya

JUNE 15, 2022

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.

Neural Network 323

Neural Network Deep Learning Machine Learning 323

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Analytics Vidhya

JUNE 17, 2022

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, […].

Data Analysis 315

Data Analysis Data Science Machine Learning 315

Analytics Vidhya

JUNE 11, 2022

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.

Data Science 315

Data Science Automation Python 315

Analytics Vidhya

JUNE 14, 2022

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 296

Python Machine Learning Data Science 296

Analytics Vidhya

JUNE 14, 2022

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 284

Algorithm Data Science 284

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

JUNE 16, 2022

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.

Data Science 271

Data Science 271

Analytics Vidhya

JUNE 14, 2022

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 […].

Data Science 271

Data Science Big Data 271

Analytics Vidhya

JUNE 15, 2022

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 […].

Data Science 270

Data Science Algorithm Python Machine Learning 270

Analytics Vidhya

JUNE 15, 2022

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 270

ETL Data Science Machine Learning 270

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Data Analysis

Analytics Vidhya

JUNE 13, 2022

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.

Data Science 271

Data Science Python 271

Analytics Vidhya

JUNE 14, 2022

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 […].

Data Science 271

Data Science 271

Analytics Vidhya

JUNE 14, 2022

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 […].

Machine Learning 271

Machine Learning Algorithm Data Science 271