Sat.Mar 19, 2022 - Fri.Mar 25, 2022

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Keyword Extraction Methods from Documents in NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Keyword extraction is commonly used to extract key information from a series of paragraphs or documents. Keyword extraction is an automated method of extracting the most relevant words and phrases from text input. It is a text analysis method that involves automatically extracting […].

NLP 399
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Engineering a Successful New Car: Starting a New F1 Season with McLaren Racing

DataRobot Blog

The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Each team now has a budget cap, and significant rule changes have been introduced, altering strategies and adding excitement for the fans. Another change that we’re thrilled about is that DataRobot is one of McLaren’s newest partners.

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Traversing High-Level Intent and Low-Level Requirements

Eugene Yan

How they differ and why they work better in different situations.

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Applied Language Technology

Explosion

Extensive online course on applied language technology with spaCy by Tuomo Hiippala, designed for students new to NLP and programming.

NLP 52
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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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Operating on the Pandas DataFrame in Python

Analytics Vidhya

Overview DataFrame in Python Performing Data Cleaning Operations on the Pandas DataFrame Introduction Undoubtedly, a DataFrame in python is the most important structure used to store the data because it is used in all practical cases to store our given data set which we will be using for creating our models. It is defined under […]. The post Operating on the Pandas DataFrame in Python appeared first on Analytics Vidhya.

Python 387

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A Hands-on Introduction to Reinforcement Learning with Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Dear readers, In this blog, we will get introduced to reinforcement learning and also implement a simple example of the same in Python. It will be a basic code to demonstrate the working of an RL algorithm. Brief exposure to object-oriented programming in Python, […]. The post A Hands-on Introduction to Reinforcement Learning with Python appeared first on Analytics Vidhya.

Python 343
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Women Leaders in Data Science: Top 10 Influentials from the Industry

Analytics Vidhya

Introduction The thriving industry of Data Science is continuously evolving with the technological advancements in Machine Learning and Artificial intelligence. This has opened up whole new avenues for Data Scientists worldwide. Professionals who can handle Big Data and have the necessary knowledge required for understanding, analysing and processing data are in high demand in the […].

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Decision Tree Machine Learning Algorithm Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to learn about Decision Tree Machine Learning algorithm. We will build a Machine learning model using a decision tree algorithm and we use a news dataset for this. Nowadays fake news spread is like wildfire and this […]. The post Decision Tree Machine Learning Algorithm Using Python appeared first on Analytics Vidhya.

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Get to Know About Modern Data Governance

Analytics Vidhya

Introduction Given the world’s growing user base across devices and applications in recent years, we have seen a huge surge in not just the volume of data we are collecting but also in the number and variety of sources. The pandemic has certainly accelerated this trend even more and having high quality and consistency […]. The post Get to Know About Modern Data Governance appeared first on Analytics Vidhya.

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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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Bivariate Feature Analysis in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Feature analysis is an important step in building any predictive model. It helps us in understanding the relationship between dependent and independent variables. In this article, we will look into a very simple feature analysis technique that can be used in cases such as […].

Python 319
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The DataHour: How to Stay Relevant in the Booming World of AI?

Analytics Vidhya

Dear Readers, We are happy to bring you yet another exciting webinar for you! Yup, you heard it right! The DataHour Series brings Anastasiia to conduct a webinar on how to stay relevant in the Booming World of AI. We hope, you’re excited and eager to learn new things that we have planned for you […]. The post The DataHour: How to Stay Relevant in the Booming World of AI?

AI 312
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Dog Breed Classification Using a Stacked Pre-Trained Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. An end-to-end guide on dog breed classification using stacked pre-trained CNN models […]. The post Dog Breed Classification Using a Stacked Pre-Trained Model appeared first on Analytics Vidhya.

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A Comprehensive Guide on MLOps for Machine Learning Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I believe all you’re familiar with the terminology DevOps for these many years, this is the complete culture and process life cycle of CI/CD. Yes! This is the best fit for the traditional software that is managed in the production environment very effectively […].

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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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Let’s Understand Data Augmentation Using AugLy!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction A common problem with machine learning and deep learning models is ‘Overfitting.’ This means that the model accuracy is very high on the training dataset but fails to do so on the unknown data. To address the challenge of overfitting, […].

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METAVERSE: A World of Imagination that Takes you Through Reality!

Analytics Vidhya

Have you ever thought like: I wish I can get this thing or I have a desire that I want to be at this place or I love anime and I wish I have these powers. If yes, then my friend you are at the right place. Introduction Imagine having the power to get anything […]. The post METAVERSE: A World of Imagination that Takes you Through Reality! appeared first on Analytics Vidhya.

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Heart Disease Prediction Using Logistic Regression on UCI Dataset

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Overview Hi everyone! In this article, we study, in detail, the hyperparameters, code and libraries used for heart disease prediction using logistic regression on the UCI heart disease dataset. Link to the dataset: [link] Source: [link] Importing Libraries #Importing […].

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Exploratory Data Analysis (EDA) – Credit Card Fraud Detection Case Study

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Lots of financial losses are caused every year due to credit card fraud transactions, the financial industry has switched from a posterior investigation approach to an a priori predictive approach with the design of fraud detection algorithms to warn and help fraud investigators. […].

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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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Learn About Principal Component Analysis in Details!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image source Table of Contents 1. Introduction to the curse of dimensionality. 2. What is PCA and why do we need it? 3. Steps in PCA and mathematical proof. The Curse of Dimensionality In Numpy, the number of independent features or variables in a […]. The post Learn About Principal Component Analysis in Details!

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How I Won My First Public Data Science Competition?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Author About the Competition The competition was to predict the likelihood of having Autism. It was sponsored by Google Developers and hosted on Kaggle. The data was collected from people that filled out an app form. Research has proven that early detection of […]. The post How I Won My First Public Data Science Competition?

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Hands-On Named Entity Recognition with SpaCy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – promptcloud.com Introduction As organizations expand, in their businesses and market values, the need for making important and meaningful insights with the business data becomes crucial. On the other hand, gaining insights from gradually increasing unstructured text data can be a cumbersome and […].

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Where Should your Next Work-Vacation Be?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. An exploratory data analysis article of the best cities for your next workcation. Photo by Christin Hume on Unsplash Introduction Due to the pandemic, companies who were never comfortable letting their employees work from home, citing multiple reasons like the breach of data privacy […].

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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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Building Naive Bayes Classifier from Scratch to Perform Sentiment Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In my last article (Sentiment Analysis with LSTM), we discussed what sentiment analysis is and how to perform it using LSTM. LSTM is a deep-learning-based classifier, and it takes a considerable amount of time to train it. In this article, we will explore […]. The post Building Naive Bayes Classifier from Scratch to Perform Sentiment Analysis appeared first on Analytics Vidhya.

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A Beginners Guide to the Machine Learning Lifecycle

Analytics Vidhya

Introduction Data Science, Machine learning, Artificial Intelligence – you would have come across these terms very often while talking to your peers, reading through a blog post or in general having day to day conversations with family and friends. You would also have been in many decision-making spots yourself – while choosing to buy a […].

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Music Genre Classification Project Using Machine Learning Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Hello, and welcome to a wonderful article on audio classification. Audio classification is an Application of machine learning where different sound is categorized in certain categories. In our previous blog, we have studied Audio classification using ANN and build a model from scratch.

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Visualising Published Articles and Analysing them Using Plotly

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. A picture speaks thousands of words. Thus the visualization maps are very important as they provide insight to data even for the non-technical person. To create a good chart there are many libraries present. I have used the plotly library for this article. I […]. The post Visualising Published Articles and Analysing them Using Plotly appeared first on Analytics Vidhya.

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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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Facial Landmarks Detection Using Mediapipe Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview So we have previously worked with face detection using Mediapipe library only but there was a problem with detecting the landmarks points as they were not that clear when we were visualizing the other elements of the face i.e. the major facial key […]. The post Facial Landmarks Detection Using Mediapipe Library appeared first on Analytics Vidhya.

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Want to learn Cloud Computing? Begin your Journey with AWS!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of Contents Introduction AWS Benefits of AWS AWS Regions How to choose a Region? AWS Availability Zones Edge Locations AWS Free Tier Sign up AWS Services Conclusion Introduction In this article, we will understand more about cloud computing and we will focus mainly […]. The post Want to learn Cloud Computing?

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Getting Started with Computer Vision: Basics and Starter Projects

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Congito What is Computer Vision? Artificial Intelligence is an upcoming field with a vast study scope. Computer Vision is one of the AI branches that has proved to be very beneficial to solve real-life issues such as OCR recognition in driving number […]. The post Getting Started with Computer Vision: Basics and Starter Projects appeared first on Analytics Vidhya.