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 400
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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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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

AI 105
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This AI Can Read Minds

Dlabs.ai

A new month means a new issue of InsideAI. And this August, we’re diving into both the good and bad of artificial intelligence. As we all know, AI has plenty of applications that are changing lives for the better (check the second news story), and some even save lives (like the AI lifeguard!). But if the technology falls into the wrong hands, it’s anyone’s guess what we’ll see.

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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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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 […].

More Trending

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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

AI 98
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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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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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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.

52
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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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Success with AI Made Easy: DRU Launches AutoML Foundations Series

DataRobot Blog

DataRobot’s AI Cloud helps businesses around the world leverage data to solve their most challenging problems. But the terms “ artificial intelligence ” and “ machine learning ” are not easily understood and can be used to describe a range of data-related work and skills. Because there is such a broad range in AI maturity and skill, DataRobot University (DRU) has made changes to provide greater flexibility.

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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 […].

397
397
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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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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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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 […].

Algorithm 394
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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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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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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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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.

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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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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.

NLP 379
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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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Understanding User Needs and Satisfying Them

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.

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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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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 371
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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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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 351
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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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 […].

ETL 337
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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.

ML 337
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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.