Sat.Jul 30, 2022 - Fri.Aug 05, 2022

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Introduction to Requests Library in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Requests in Python is a module that can be used to send all kinds of HTTP requests. It is straightforward to use and is a human-friendly HTTP Library. Using the requests library; we do not need to manually add the query string […]. The post Introduction to Requests Library in Python appeared first on Analytics Vidhya.

Python 397
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Uncommon Uses of Python in Commonly Used Libraries

Eugene Yan

Some off-the-beaten uses of Python learned from reading libraries.

Python 130
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Scaling False Peaks

O'Reilly Media

Humans are notoriously poor at judging distances. There’s a tendency to underestimate, whether it’s the distance along a straight road with a clear run to the horizon or the distance across a valley. When ascending toward a summit, estimation is further confounded by false summits. What you thought was your goal and end point turns out to be a lower peak or simply a contour that, from lower down, looked like a peak.

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Text AI Updates Drive Faster Business Value

DataRobot Blog

How can you save time in understanding the impact of language when working with text in ML models ? With tens of thousands of Text AI projects, DataRobot has helped organizations unlock insights from text and generate predictions with text models—from assisting with customer support ticket triage to predicting real estate sale prices. Continuing to build on previously released Text AI capabilities, DataRobot AI Cloud introduces new features to help with language detection, blueprint optimization

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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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Step-by-Step Exploratory Data Analysis (EDA) using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to EDA The main objective of this article is to cover the steps involved in Data pre-processing, Feature Engineering, and different stages of Exploratory Data Analysis, which is an essential step in any research analysis. Data pre-processing, Feature Engineering, and EDA are fundamental early […].

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Easy R Tutorials with Dev Containers

Revolutions

Ever written a tutorial for R — or simply shared some R code with someone — and been told that your code doesn't work on their machine? There's now an easy way to solve that problem: Dev Containers. Dev Containers are a standardized container format designed for interactive use. You can set up a Dev Container with the specific version of R, R packages, and other software to guarantee that your R code will run on their machine just as it did on yours.

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The First AI Center of Excellence Announced in the United Arab Emirates – Powered by DataRobot

DataRobot Blog

We’ve had a busy few months in the Middle East and Northern Africa (MENA) building great relationships with important customers in the region and working closely with critical partners that will act as managed service providers helping us as we bring the value of AI to that market. One such partnership was recently announced between Hub71 , Abu Dhabi’s global tech ecosystem, and e& enterprise , part of e& In partnership with and powered by the DataRobot AI Cloud platform , Hub71 and e

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Multi-variate Time Series Forecasting using Kats Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Kats model-which is also developed by Facebook Research Team-supports the functionality of multi-variate time-series forecasting in addition to univariate time-series forecasting. Often we need to forecast a time series where we have input variables in addition to ‘time’; this is where the […].

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How Image Annotation Teaches Machines to See

Defined.ai blog

Everything you need to know about image data labelling and image annotation Computer vision technology has massive potential. From detecting cancer cells to allowing consumers to make payments on their phones through facial recognition, there is almost nothing computer vision models can’t do, if trained on the right data. However, precise data labelling is crucial to training accurate computer vision models.

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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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12 FAQs on AWS Asked in Interviews

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The way big business tycoons run has changed a lot since the past. The concept of “Cloud Computing” has played a major role in this. This implementation of cloud computing technology has led to the need for Cloud Computing Experts. The software team […].

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Bridging the Gap: Drug Discovery and AI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This problem that we will discuss in this blog comes from the cutting-edge intersection of AI with the drug discovery process, where DataRobot and my team play a very significant role. This blog is focused on an engagement my team, and I […]. The post Bridging the Gap: Drug Discovery and AI appeared first on Analytics Vidhya.

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The DataHour: Improving Search Results with Semantic Search

Analytics Vidhya

Dear Readers, Have you ever wondered about the uncanny ability of google to complete your sentences even before you complete them? Or the fact that Google or any other search engine can comprehend a sentence’s meaning and provide precise responses to the featured excerpts. It appears that Google uses mystical means to “think” and exercise […].

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Introduction to Intelligent Search Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Intelligent Search Algorithms Search problems are widespread in real-world applications. Search algorithms are beneficial in simplifying or solving the problems such as searching a database or the internet. One of the most popular search problems is to find the shortest path […].

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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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Training CNN from Scratch Using the Custom Dataset

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In certain circumstances, using pre-built frameworks from machine learning and deep learning libraries may be beneficial. However, you should attempt to put things into practice on your own to have good command and comprehension. This article demonstrates how to create a CNN […].

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Microsoft’s Power BI Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Microsoft’s Power BI is one of its rapidly growing corporate analytics services. This self-service business intelligence tool is the latest and greatest in the data-driven industry. It eased the workaround for attaining data from several sources and consolidating it into one management […].

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Building your First Power BI Report from Scratch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will explore one of Microsoft’s proprietary products, “PowerBI”, in-depth. PowerBI is used for Business intelligence. What is equally important here is the ability to communicate the data and insights from your predictive models through reports and dashboards.

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Do Tree-based Models Outperform Deep Learning Models on Tabular Data?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction After looking at the progress […]. The post Do Tree-based Models Outperform Deep Learning Models on Tabular Data? 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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Making a Multipaged Application using Streamlit

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If we want to make a small application in Streamlit, it’s enough to make a single web page-based application. But when the application is large, we must consider splitting the contents into different web pages. This can be done using the st.selectbox […]. The post Making a Multipaged Application using Streamlit appeared first on Analytics Vidhya.

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Most Frequently Asked Data Warehouse Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Organizations are turning to cloud-based technology for efficient data collecting, reporting, and analysis in today’s fast-changing business environment. Data and analytics have become critical for firms to remain competitive. Reports, dashboards, and analytics tools are used by business users to derive insights […].

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A Compressive Guide to Build Image Caption Generator

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Image caption generator is the most fascinating application I found while working with NLP. It’s cool to train your system to label the images you feed to it. As interesting as it sounds, it is equally challenging to implement this application. It […]. The post A Compressive Guide to Build Image Caption Generator appeared first on Analytics Vidhya.

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Applications of EdgeML

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction EdgeML is a technology that allows Smart Devices to process data locally (through local servers or at […]. The post Applications of EdgeML appeared first on Analytics Vidhya.

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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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DataHour: Deploying Deep Learning Model to Production using FastAPI & Docker

Analytics Vidhya

Dear readers, Are you ready to learn some additional data science this weekend? If yes, then this week’s DataHour can help you do so. Brush up your skills with our industry expert Mohammad Shahebaz, Data Scientist at DataRobot. In this edition of DataHour, learn to deploy a deep learning model in production. The purpose of […]. The post DataHour: Deploying Deep Learning Model to Production using FastAPI & Docker appeared first on Analytics Vidhya.

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Introduction to Amazon Glacier & it’s Use Cases

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Amazon Glacier is a cloud storage platform developed and launched by AWS with longer loading times. Accordingly, the developer is supposed to use Amazon Glacier to move less available data to archive storage to save storage costs. Source: [link] Developers can also […].

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ETL vs ELT in 2022: Do they matter?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data is ubiquitous in our modern life. Obtaining, structuring, and analyzing these data into new, relevant information is crucial in today’s world. Since contextual data exposes popular patterns and trends, we have arrived at the stage where businesses take data-driven decisions to […].

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Statistical Effect Size and Python Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction One of the most important applications of Statistics is looking into how two or more variables relate. Hypothesis testing is used to look if there is any significant relationship, and we report it using a p-value. Measuring the strength of that relationship […]. The post Statistical Effect Size and Python Implementation appeared first on Analytics Vidhya.

Python 349
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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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Data Science Interview Part 3: ROC-AUC

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Previous articles on this data science interview series have discussed interview questions related to Regression Analysis, Classification Metrics, and Ensemble Approaches. This article will cover interview questions about Machine Learning concepts like ROC-AUC curves and tunning of Hyperparameter.

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BigQuery: An Walkthrough of ML with Conventional SQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most of us are familiar with SQL, and many of us have hands-on experience with it. Machine learning is an increasingly popular and developing trend among us. BigQueryML is a toolset that will allow us to build machine learning models by executing […]. The post BigQuery: An Walkthrough of ML with Conventional SQL appeared first on Analytics Vidhya.

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Most Frequently Asked Apache HBase Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction HBase is a column-oriented non-relational database management system that operates on Hadoop Distributed File System (HDFS). HBase provides a fault-tolerant manner of storing sparse data sets, which are prevalent in several big data use cases. It is ideal for real-time data processing or […].

Big Data 336