Analytics Vidhya

JANUARY 31, 2022

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.

Data Science 400

Data Science NLP 400

OpenAI

FEBRUARY 2, 2022

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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Dlabs.ai

FEBRUARY 1, 2022

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.

Computer Vision 52

Computer Vision Artificial Intelligence Artificial Intelligence AI 52

Explosion

JANUARY 31, 2022

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.

NLP 40

NLP 40

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

FEBRUARY 3, 2022

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 372

Python Data Science 372

Kavita Ganesan

FEBRUARY 4, 2022

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

AI 52

AI AI Automation Algorithm 52

The Stanford AI Lab Blog

FEBRUARY 1, 2022

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,

Computational Linguistics 40

Computational Linguistics Chatbots Robotics Natural Language Processing 40

Analytics Vidhya

FEBRUARY 3, 2022

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 […].

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Python Data Science Machine Learning 348

DataRobot Blog

FEBRUARY 1, 2022

Ever-increasing enterprise investments are driving AI to explosive growth, with 86% of global companies prioritizing AI and ML over other initiatives. AI and machine learning initiatives are the gifts that keep on giving, simultaneously increasing top-line revenue and decreasing bottom-line costs. But to meet this scale in demand, organizations have to navigate a myriad of new challenges, from IT governance and security, to data security, privacy, and tax regulatory compliance.

Machine Learning 52

Machine Learning Automation ML AI 52

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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

Analytics Vidhya

FEBRUARY 3, 2022

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.

ML 323

ML Machine Learning Data Science 323

Analytics Vidhya

FEBRUARY 4, 2022

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!

Data Science 315

Data Science Machine Learning 315

Analytics Vidhya

FEBRUARY 3, 2022

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 […].

Machine Learning 315

Machine Learning Data Science ML Algorithm 315

Analytics Vidhya

FEBRUARY 3, 2022

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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Data Science Natural Language Processing Computer Vision Big Data 306

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

FEBRUARY 3, 2022

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.

Data Science 306

Data Science 306

Analytics Vidhya

JANUARY 29, 2022

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 […].

Python 306

Python Data Science NLP 306

Analytics Vidhya

JANUARY 31, 2022

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.

Python 303

Python Data Science 303

Analytics Vidhya

FEBRUARY 3, 2022

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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Chatbots Data Science Machine Learning Artificial Intelligence 295

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Analytics Vidhya

JANUARY 31, 2022

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 […].

Machine Learning 294

Machine Learning NLP Natural Language Processing Data Science 294

Analytics Vidhya

FEBRUARY 4, 2022

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.

Machine Learning 284

Machine Learning 284

Analytics Vidhya

FEBRUARY 3, 2022

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.

Data Science 284

Data Science Python 284

Analytics Vidhya

FEBRUARY 4, 2022

Overview Motivation to Learn R Covering the BASICS & MUST KNOW Concepts in R Introduction Since you are reading this article, I am assuming that right now you are in your journey of becoming a data scientist. There is a high possibility that you already are aware of some of the data visualization and analytics […]. The post Get to know all about the R Language appeared first on Analytics Vidhya.

Data Scientist 283

Data Scientist Deep Learning Machine Learning 283

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

JANUARY 30, 2022

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.

Neural Network 283

Neural Network Data Science Machine Learning 283

Analytics Vidhya

FEBRUARY 4, 2022

Feature Engineering on text data using Natural Language Processing Techniques. This article focuses primarily on text data feature engineering. Within the same process, we will be going over the following techniques and processes: Lemmatization / Stemming Count Vectorizer One Hot Encoding Train Test Split Principal Component Analysis Some general text cleaning and null value imputation […].

Natural Language Processing 282

Natural Language Processing NLP Data Science 282

Analytics Vidhya

JANUARY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction In any machine learning task or data analysis task the first and foremost step is to clean and process the data. Cleaning is important for model building. Well, cleaning of data depends on the type of data and if the data is textual […]. The post Text Cleaning Methods in NLP appeared first on Analytics Vidhya.

NLP 280

NLP Data Analysis Machine Learning Data Science 280

Analytics Vidhya

FEBRUARY 2, 2022

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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DevOps Software Development Machine Learning Deep Learning 271

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Data Analysis

Analytics Vidhya

FEBRUARY 2, 2022

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.

Data Science 271

Data Science 271

Analytics Vidhya

FEBRUARY 2, 2022

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, […].

Machine Learning 271

Machine Learning Data Scientist Data Science Algorithm 271

Analytics Vidhya

FEBRUARY 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction Predictive analytics powered by AI technology is changing the world as we know it. Nowadays, there is an ocean of data available for every industry. However, finding the gems that answer your business questions is as hard as navigating a real ocean on […]. The post What Is a Predictive Analytics AI-Powered SaaS Platform &amp?

Data Science 271

Data Science AI AI Artificial Intelligence 271