Sat.Jan 29, 2022 - Fri.Feb 04, 2022

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Interactive Tweet Sentiment Visualization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the advent of social media, a lot of data has been generated and is being generated. This data corresponds to either the opinion of people on political matters, on products they use, or on the services they use from companies. Mining this […]. The post Interactive Tweet Sentiment Visualization appeared first on Analytics Vidhya.

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Will AI Kill Your Job?

Kavita Ganesan

Oh, what will happen to our jobs when my company starts using AI? This is such a popular question that comes up when I give talks—even to a pseudo technical audience. Not surprisingly, this question will land sarcastic smiles on the faces of some data scientists and AI experts; you may even catch some eyes rolling. But it’s a valid question. Don’t forget, we had a US political candidate run for the presidency on the theme that automation is robbing people of good jobs and we should thus be compe

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Solving (some) formal math olympiad problems

OpenAI

We built a neural theorem prover for Lean that learned to solve a variety of challenging high-school olympiad problems, including problems from the AMC12 and AIME competitions, as well as two problems adapted from the IMO.

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9 Biggest Benefits of Using AI in Your Retail Business

Dlabs.ai

In the retail industry, you must analyze data to achieve the best results. This is where AI technology can help, as it unlocks many opportunities to optimize almost every aspect of any retail business. This article will cover the nine biggest benefits of using AI in retail. And how it will positively impact your business, employees, customers, even the environment.

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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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Implementing Logistic Regression from Scratch using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Logistic Regression If you are here, you are already introduced to the concept of logistic regression and probably have had your hands dirty working on different datasets. The scikitlearn’s LogisticRegression is by far the best tool to use for any logistic regression […].

Python 350

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How to Improve User Experience (and Behavior): Three Papers from Stanford's Alexa Prize Team

The Stanford AI Lab Blog

Introduction In 2019, Stanford entered the Alexa Prize Socialbot Grand Challenge 3 for the first time, with its bot Chirpy Cardinal , which went on to win 2nd place in the competition. In our previous post , we discussed the technical structure of our socialbot and how developers can use our open-source code to develop their own. In this post we share further research conducted while developing Chirpy Cardinal to discover common pain points that users encounter when interacting with socialbots,

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When Women Make Headlines

Explosion

Using spaCy and other packages from the NLP ecosystem for analyzing more than 382,000 headlines to see how women are represented (or misrepresented) in the news.

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Privacy-Preserving in Machine Learning (PPML)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Machine learning (ML) has a lot of potential for increasing productivity. However, the quality of the data for training ML models should be excellent to provide good results. Any ML algorithm provides excellent performance only when there is huge and perfect data fed […].

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Announcing GPT-NeoX-20B

Eleuther.ai

Announcing GPT-NeoX-20B, a 20 billion parameter model trained in collaboration with CoreWeave.

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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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The Next Generation of AI: A Conversation with Dan Wright and Debanjan Saha

DataRobot Blog

Today, I’m thrilled to welcome Debanjan Saha to DataRobot as our new President and Chief Operating Officer (COO). Debanjan joins us at a critical juncture in DataRobot’s growth journey as we supercharge and scale our innovation and impact for our customers around the world. AI has the potential to reshape nearly every business and every industry , from restoring resilience in supply chains to accelerating the treatment and prevention of countless diseases.

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Statistical Inference Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hey folks! Data science is an emerging technology in the corporate society and it mainly deals with the data. Applying statistical analysis to data and getting insights from it is our main objective. A company wil store millions of records for analysis. A […]. The post Statistical Inference Using Python appeared first on Analytics Vidhya.

Python 351
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Deploy your ML model as a Web Service in Microsoft Azure Cloud

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. This article will provide you with a hands-on implementation on how to deploy an ML model in the Azure cloud. If you are new to Azure machine learning, I would recommend you to go through the Microsoft documentation that has been provided in the […]. The post Deploy your ML model as a Web Service in Microsoft Azure Cloud appeared first on Analytics Vidhya.

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Introduction to AdaBoost for Absolute Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. AdaBoost stands for Adaptive Boosting. It is a statistical classification algorithm. It is an algorithm that forms a committee of weak classifiers. It boosts the performance of machine learning algorithms. It helps you form a committee of weak classifiers by combining them into a single strong […].

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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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R Programming Concepts Made Easy!

Analytics Vidhya

Overview How is Type Casting done in R? Discussing about the Date datatype in R Understanding the concept of Encoding in R Introduction While the majority of the concepts remain somewhat similar across the various tools and technologies that we learn for data science, there are few concepts special to a particular tool or a […]. The post R Programming Concepts Made Easy!

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Top 10 AI and Data Science Trends in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Times change, technology improves and our lives get better. Deep learning, natural language processing, and computer vision are examples […].

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Speech to Text Conversion in Python – A Step-by-Step Tutorial

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Text to Speech When it comes to our interactions with machines, things have gotten a lot more complicated. We’ve gone from large mechanical buttons to touchscreens. However, hardware isn’t the only thing that’s changing. Throughout the history of computers, the text has […].

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Weaviate: Towards the New Era of Vector Search Engines

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] How did you find this blog? You typed some keywords related to data science in your browser. Then the search engine which you are using has redirected you to here within milliseconds. Have you ever thought about how it worked? Yes.! The unbeatable power […]. The post Weaviate: Towards the New Era of Vector Search Engines 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 simple guide to RASA 3.x

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A chatbot is a computer application that interacts with the user. It can be as simple as an information-gathering chatbot or as complex as a wellness coach chatbot that tracks your meals, body weight, water intake and suggests customized exercise or diet […]. The post A simple guide to RASA 3.x appeared first on Analytics Vidhya.

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Loan Approval Prediction Machine Learning

Analytics Vidhya

Introduction In this article, we are going to solve the Loan Approval Prediction Hackathon hosted by Analytics Vidhya. This is a classification problem in which we need to classify whether the loan will be approved or not. classification refers to a predictive modeling problem where a class label is predicted for a given example of […]. The post Loan Approval Prediction Machine Learning appeared first on Analytics Vidhya.

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Youtube Video Downloader using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Introduction What is a Youtube video downloader using python? What other things can we do with it? How to make it? Introduction Have you ever felt if all the videos you watch on youtube be without ads? Well, there is a way, if […]. The post Youtube Video Downloader using Python appeared first on Analytics Vidhya.

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Web scraping with PyScrappy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image source: Author Introduction These days Data Science professionals are expected to have some background and experience in ‘Web Scraping.’ This technique involves gathering relevant data from one or more web pages or websites using a tool like Selenium.

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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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Machine Learning Techniques for Text Representation in NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Natural Language Processing is a branch of artificial intelligence that deals with human language to make a system able to understand and respond to language. Data being the most important part of any data science project should always be represented in a way […].

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Topic Identification with Gensim library using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Image Topic Identification is a method for identifying hidden subjects in enormous amounts of text. The Latent Dirichlet Allocation (LDA) technique is a common topic modeling algorithm that has great implementations in Python’s Gensim package. The problem is determining how to extract high-quality […].

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Multi-label Text Classification Using Transfer Learning powered by “Optuna”

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The problem of assigning more than one relevant label to the text is known as Multi-label Classification. Nowadays, Transfer learning is used as one of the most effective techniques to solve this problem. And we all face the challenges to decide optimum parameters at […]. The post Multi-label Text Classification Using Transfer Learning powered by “Optuna” appeared first on Analytics Vidhya.

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MLOps Part 1: Revealing the Approach behind MLOps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of contents Overview Traditional Software development Life Cycle Waterfall Model Agile Model DevOps Challenges in ML models Understanding MLOps Data Engineering Machine Learning DevOps Endnotes Overview: MLOps According to research by deeplearning.ai, only 2% of the companies using Machine Learning, Deep learning have […].

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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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Ethics in Data Science and Proper Privacy and Usage of Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Data may be utilized to make decisions and have a large influence on businesses. However, this valuable resource is not without its drawbacks. How can businesses acquire, keep, and use data in an ethical manner? What are the rights that must be protected? Some […]. The post Ethics in Data Science and Proper Privacy and Usage of Data appeared first on Analytics Vidhya.

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Introduction to Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of Contents What is Neural Network Types of Neural Networks Types of Learnings How does a Neural Network work Endnotes What are Neural Networks? Neural networks are used to mimic the basic functioning of the human brain and are inspired by how the […]. The post Introduction to Neural Networks appeared first on Analytics Vidhya.

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Auto-Sklearn: Accelerate your machine learning models with AutoML

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AutoML is a relatively new and upcoming subset of machine learning. The main approach in AutoML is to limit the involvement of data scientists and let the tool handle all time-consuming processes in machine learning like data preprocessing, best algorithm selection, hyperparameter tuning, […].