Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service? There’s a chance you were contacted by a bot rather than human customer support professional. We […]. The post Creating ChatBot Using Natural Language Processing in Python appeared first on Analytics Vidhya.

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Natural Language Processing Chatbots Python Data Science 399

Eugene Yan

DECEMBER 1, 2021

Daliana and I had a 2hr chat on all things data science and machine learning.

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Data Scientist ML Machine Learning Data Science 130

DeepMind

NOVEMBER 30, 2021

More than a century ago, Srinivasa Ramanujan shocked the mathematical world with his extraordinary ability to see remarkable patterns in numbers that no one else could see. The self-taught mathematician from India described his insights as deeply intuitive and spiritual, and patterns often came to him in vivid dreams.

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Dlabs.ai

NOVEMBER 29, 2021

Artificial intelligence is an invaluable educational resource. The technology enables students to follow guided, hyper-personalized paths, delivering just the right difficulty level for them to learn at their best. After all, overly simple — or excessively demanding — materials only irritate, even overwhelm, students. In contrast, if the appropriate resources push students just far enough, they will become more focused and, consequently, more willing to learn.

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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

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. People exposed to artificial intelligence generally have a good high-level idea of how a neural network works?—?data is passed […].

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DeepMind

NOVEMBER 30, 2021

Our main results prove that while reward can express many tasks, there exist instances of each task type that no Markov reward function can capture. We then provide a set of polynomial-time algorithms that construct a reward function which allows an agent to optimize tasks of each of these three types, and correctly determine when no such reward function exists.

Algorithm 57

Algorithm 57

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. [link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments. We have detailed a roadmap for the […]. The post Building an End- to-End Data Science App with Python appeared first on Analytics Vidhya.

Data Science 396

Data Science Python Data Scientist Machine Learning 396

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. SQL stands for Structured Query Language which is used to deal with Relational Databases to query from and manipulate databases. In the field of Data Science most of the time you are supposed to fetch the data from any RDBMS and run some […]. The post A Complete Beginner-Friendly Guide to SQL for Data Science appeared first on Analytics Vidhya.

Data Science 389

Data Science 389

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. In this article, we will learn about model explainability and the different ways to interpret a machine learning model. What is Model Explainability? Model explainability refers to the concept of being able to understand the machine learning model. For example – If a healthcare […].

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Business Intelligence

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Artificial Neural Network Artificial neural network(ANN) or Neural Network(NN) are powerful Machine Learning techniques that are very good at information processing, detecting new patterns, and approximating complex processes. Artificial Neural networks ability is exemplary in tackling large and highly complex Machine […].

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Neural Network Machine Learning Data Science Deep Learning 383

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon Table of Contents Overview What is Regression? Independent Variables Dependent Variables Linear Regression The Equation of a Linear Regression Types of Linear Regression Simple Linear Regression Multiple Linear Regression How is a simple linear equation used in the ML Linear Regression algorithm?

Data Science 383

Data Science Algorithm ML Python 383

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon. Introduction to ETL ETL is a type of three-step data integration: Extraction, Transformation, Load are processing, used to combine data from multiple sources. It is commonly used to build Big Data. In this process, data is pulled (extracted) from a source system, to […]. The post Good ETL Practices with Apache Airflow appeared first on Analytics Vidhya.

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ETL Big Data Data Science Data Integration 378

Analytics Vidhya

NOVEMBER 28, 2021

This article was published as a part of the Data Science Blogathon. Consider a scenario wherein instead of reading an entire article or research paper you could just read the most important statements, this is possible through text summarization. Text summarization takes an input of a sequence of words aka the input article and returns […]. The post A beginner’s guide to understanding Text Summarization with NLP appeared first on Analytics Vidhya.

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NLP Data Science Python 375

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

AI

Analytics Vidhya

NOVEMBER 27, 2021

This article was published as a part of the Data Science Blogathon. Overview Hello readers! Hope you know about TensorFlow. TensorFlow is an open-source artificial intelligence library using data flow graphs to build models developed by Google. Using this, we can create large-scale neural networks with n number of layers. This TensorFlow is considered the […].

Python 369

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Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon. The string is one standard Data type in Python. You will find string data type in every application programming language like Java, Python, C++ because while developing an application you need to talk to the user and it is done in strings. Whereas […]. The post String Data Structure in Python | Complete Case study appeared first on Analytics Vidhya.

Python 364

Python Data Science 364

Analytics Vidhya

DECEMBER 1, 2021

This article was published as a part of the Data Science Blogathon. Image Source: GitHub Table of Contents What is Data Engineering? Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering? Initially, we have the definition of Software […].

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Data Science Python Machine Learning 364

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Cryptocurrencies are digital tokens that can easily replace traditional currency in the future. Easy access is the reason they are becoming so popular so fast. Almost anyone can own these coins and are accepted as payment just like traditional currency. The blockchain technology […].

Data Science 349

Data Science Python Machine Learning 349

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.

Business Intelligence

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon. Image 1 Introduction In this guide, we explore new BI Technology known as Microsoft Power BI and let us learn some basics of it before we deep dive. I suggest skimming the guide enough, that helps as a building block for learning this […]. The post A Comprehensive Guide on Power BI appeared first on Analytics Vidhya.

Data Science 337

Data Science 337

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Artificial Neural Networks can be used to solve a wide variety of problems. Keras is an open-source library that can be used to implement artificial neural networks in Keras. Keras has all the major features required to build and train artificial neural networks. […]. The post Bank Note Authentication using Keras Sequential Model appeared first on Analytics Vidhya.

Neural Network 348

Neural Network Data Science Deep Learning Python 348

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon Whenever we saw our childhood diaries, we always wanted to recognize all the places we had visited at least once in our childhood. But we don’t remember their names. Most Indian people visit various temples but they always forget the names of these temples. […]. The post Landmark Detection with Deep Learning appeared first on Analytics Vidhya.

Deep Learning 348

Deep Learning Data Science Python 348

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Overview Decision trees for healthcare analysis are the most widely used machine learning algorithms used for both classification and regression tasks. These are powerful algorithms that can fit complex data. These algorithms form the basis of ensemble algorithms in machine learning.

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Algorithm Machine Learning Data Science 339

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Analytics Vidhya

NOVEMBER 27, 2021

This article was published as a part of the Data Science Blogathon. A brief introduction to transfer learning The most pervasive problems in machine learning are related to data: it can be either insufficient, or low-quality. One obvious solution to this set of problems is to acquire more and better data. However, these two often do […]. The post Transfer learning with TensorFlow appeared first on Analytics Vidhya.

Machine Learning 338

Machine Learning Data Science Deep Learning Python 338

Analytics Vidhya

DECEMBER 1, 2021

This article was published as a part of the Data Science Blogathon. Reach the next level in your data analysis career by adding DuckDB into your data stack. The guide will help you to understand Python API and various ways to read CSV files with SQL script. Image by Author The life of a data analyst […]. The post The Guide to Data Analysis with DuckDB appeared first on Analytics Vidhya.

Data Analysis 330

Data Analysis Python Data Science Machine Learning 330

Analytics Vidhya

DECEMBER 1, 2021

This article was published as part of the Data Science Blogathon. This guide entails concepts like ensemble learning, Voting Classifiers, a brief about bagging, pasting, and Out-of-bag Evaluation and their implementation. A brief about Random Forest, Extra Trees, and Feature Importance. Lastly, we will wrap things up by taking a quick look at Boosting and some […].

Python 332

Python Data Science Machine Learning 332

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Introduction Pure Language Processing is an interdisciplinary concept that uses the fundamentals of computational linguistics and Synthetic Intelligence to understand how human languages interact with technology. To apply NLP to real-world scenarios, it is necessary to have a thorough grasp of various terminology […].

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Natural Language Processing Computational Linguistics NLP Data Science 329

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.

Generative AI

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon A comprehensive guide for finding the best hyper-parameter for your model efficiently. Tuning hyperparameter is more efficient with Bayesian optimized algorithms compared to Brute-force algorithms. You will see how to find the best hyperparameters for XGboost Regressor in this article.

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ML Data Science Algorithm Python 327

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction In this article, I will attempt to explain all of the ideas that you should be familiar with about databases. As we all know, while working on a Data Science, Machine Learning, Deep Learning, or another project, the most important element is […]. The post Want to Survive in Data Science: Understand the Basics of Relational Databases appeared first on Analytics Vidhya.

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Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. Introduction Consider the following scenario: you are a product manager who wants to categorize customer feedback into two categories: favorable and unfavorable. Or As a loan manager, do you want to know which loan applications are safe to lend to and which ones […]. The post Implementation of Gaussian Naive Bayes in Python Sklearn appeared first on Analytics Vidhya.

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