2021

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How do Neural Networks really work?

Analytics Vidhya

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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2021 Data/AI Salary Survey

O'Reilly Media

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing. While it’s sadly premature to say that the survey took place at the end of the COVID-19 pandemic (though we can all hope), it took place at a time when restrictions were loose

AI 145
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Building an End- to-End Data Science App with Python

Analytics Vidhya

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.

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Intent Classification with Convolutional Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Text classification is a machine-learning approach that groups text into pre-defined categories. It is an integral tool in Natural Language Processing (NLP) used for varied tasks like spam and non-spam email classification, sentiment analysis of movie reviews, detection of hate speech in social […].

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How To Select the Right Software for Innovation Management

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

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Creating ChatBot Using Natural Language Processing in Python

Analytics Vidhya

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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Build Face Recognition Attendance System using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article, you will learn how to build a face-recognition system using Python. Face recognition is a step further to face detection. In face detection, we only detect the location of the human face in an image but in face recognition, we […]. The post Build Face Recognition Attendance System using Python appeared first on Analytics Vidhya.

Python 400
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Pokemon Prediction using Random Forest

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview This Pokemon will analyze the pokemon dataset and predict whether the Pokemon is legendary based on the features provided. We will discuss everything from scratch; we will go from CSV to model building with line by line explanation of code. Let’s get started. Image […].

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Building an end-to-end Polynomial Regression Model in R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview. Regression analysis is used to solve problems of prediction based on data statistical parameters. In this article, we will look at the use of a polynomial regression model on a simple example using real statistic data. We will analyze the relationship between […]. The post Building an end-to-end Polynomial Regression Model in R appeared first on Analytics Vidhya.

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A Guide to Automated Deep/Machine Learning for Natural Language Processing: Text Prediction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon This article starts by discussing the fundamentals of Natural Language Processing (NLP) and later demonstrates using Automated Machine Learning (AutoML) to build models to predict the sentiment of text data. Other applications of NLP are for translation, speech recognition, chatbot, etc.

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The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

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Performing Time Series Analysis using ARIMA Model in R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Welcome to the World of Time Series Analysis! From this article, you will learn how to perform time series analysis using the ARIMA model (with code!). The dataset used in this article can be downloaded here. The usage time series data consist of the […]. The post Performing Time Series Analysis using ARIMA Model in R appeared first on Analytics Vidhya.

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Here’s How to use Sankey Diagrams for Data Visualization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Sankey Diagram for Data Visualization Very often, we are in a situation where we would have to visualize how data flows between entities. For example, let’s take the case of how residents have migrated from one country to another within the […]. The post Here’s How to use Sankey Diagrams for Data Visualization appeared first on Analytics Vidhya.

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Getting Started with Data Analysis using Power BI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. What is Power BI? Microsoft‘s business analytics product, Power BI, delivers interactive data visualization BI capabilities that allow users to see and share data and insights throughout their organisation. Power BI provides insight data by using data interactively and exploring it by visualizations. […].

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Loan Risk Analysis with Supervised Machine Learning Classification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Classification Algorithms In this article, we shall analyze loan risk using 2 different supervised learning classification algorithms. These algorithms are decision trees and random forests. At the outset, the basic features and the concepts involved would be discussed followed by a […].

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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MLOPs Operations: A beginner’s Guide | Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction According to a report, 55% of businesses have never used a machine learning model before. Eighty-Five per cent of the models will not be brought into production. Lack of skill, a lack of change-management procedures, and the absence of automated systems are some […].

Python 399
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TensorFlow for Beginners With Examples and Python Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction You’ve probably heard of TensorFlow if you’re a machine learning student. It has become an industry norm and is one of the most common tools for machine learning and deep learning experts. TensorFlow is a free and open-source library for creating machine […].

Python 400
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A Quick Tutorial on Clustering for Data Science Professionals

Analytics Vidhya

This is article was published as a part of the Data Science Blogathon. Welcome to this wide-ranging article on clustering in data science! There’s a lot to unpack so let’s dive straight in. In this article, we will be discussing what is clustering, why is clustering required, various applications of clustering, a brief about the […].

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5 Features Of Snowflake That Data Engineers Must Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Snowflake is a cloud data platform that comes with a lot of unique features when compared to traditional on-premise RDBMS systems. In this tutorial, you will see the top 5 features that developers should know before implementing a solution on the Snowflake data […]. The post 5 Features Of Snowflake That Data Engineers Must Know appeared first on Analytics Vidhya.

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Bringing the Cybersecurity Imperative Into Focus

Tech leaders today are facing shrinking budgets and investment concerns. This whitepaper provides insights from over 1,000 tech leaders on how to stay secure and attract top cybersecurity talent, all while doing more with less. Download today to learn more!

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The Fundamentals of Exploratory Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Table of Contents Introduction About the Dataset Let’s Go 2D Scatter Plot 3D Scatter Plot Pair Plot Histogram Univariate Analysis using PDF CDF Mean, Variance, and Standard Deviation Median, Percentile, Quantile, IQR, MAD Box Plot Violin Plot Multivariate Probability Density Contour Plot Final Note […].

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Guide For Data Analysis: From Data Extraction to Dashboard

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction I have been associated with Analytics Vidya from the 3rd edition of Blogathon. Unlike hackathons, where we are supposed to come up with a theme-oriented project within the stipulated time, blogathons are different. Blogathons are competitions that are conducted for over a month […].

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Introduction to Artificial Intelligence for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is Artificial Intelligence We have come a long way in the field of Machine Learning / Deep learning that we are now very much interested in AI (Artificial Intelligence), in this article we are going to introduce you to AI. The short and […]. The post Introduction to Artificial Intelligence for Beginners appeared first on Analytics Vidhya.

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Maximum Likelihood Estimation -A Comprehensive Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction The purpose of this guide is to explore the idea of Maximum Likelihood Estimation, which is perhaps the most important concept in Statistics. If you’re interested in familiarizing yourself with the mathematics behind Data Science, then maximum likelihood estimation is something you can’t […].

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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Building a Machine Learning Model for Title Generation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […]. The post Building a Machine Learning Model for Title Generation appeared first on Analytics Vidhya.

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How to Extract Tabular Data from Doc files Using Python?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Data is present everywhere. Any action we perform generates some or the other form of data. But this data might not be present in a structured form. A beginner starting with the data field is often trained for datasets in standard formats like […]. The post How to Extract Tabular Data from Doc files Using Python?

Python 400
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An Easy introduction to Flask Framework for beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview What is a Framework FrontEnd vs BackEnd What is Flask Framework Installation of Flask Creating our first Flask app Routing Static Route vs Dynamic Route HTML Injections HTML Escaping Hypertext Transfer Protocol GET and POST Methods What is a Framework? The framework […].

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How to Create Stunning and Interactive Dashboards in Excel?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction I have been using Pandas with Python and Plotly to create some of the most stunning dashboards for my projects. In recent times, I have switched to learning Excel as it was a prerequisite in every company I had to apply to. I […]. The post How to Create Stunning and Interactive Dashboards in Excel?

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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A Beginner’s Guide to Image Processing With OpenCV and Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction We all know the phrase: “Every picture can tell us a story” There could be a lot of information hidden inside an image and we could interpret it in different ways and perspectives. So, what is an image, and how to deal with […]. The post A Beginner’s Guide to Image Processing With OpenCV and Python appeared first on Analytics Vidhya.

Python 400
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Neural Network For Classification with Tensorflow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon In this article, I am going to build neural network models with TensorFlow to solve a classification problem. Let’s explore together that how we can approach a classification problem in Tensorflow. But firstly, I would like to make sure that we are able to […]. The post Neural Network For Classification with Tensorflow appeared first on Analytics Vidhya.

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Must know Pandas Functions for Machine Learning Journey

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Do you wish you could perform this function using Pandas. Well, there is a good possibility you can! For data scientists who use Python as their primary programming language, the Pandas package is a must-have data analysis tool. The Pandas package has everything […].