Sat.Dec 25, 2021 - Fri.Dec 31, 2021

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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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Explosion in 2021: Our Year in Review

Explosion

The year 2021 is coming to an end, and like the previous year, it was shaped by unique challenges that impacted our work together. For Explosion, it was a very productive year. We found an investor that fits our strategy, we released spaCy v3, the work on Prodigy Teams is in full swing, and the team has grown a lot. So here’s our look back at our highlights of the year 2021.

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PPML Series #3 - Federated Learning for Mobile Keyboard Prediction

Shreyansh Singh

Introduction Gboard — the Google keyboard, is a virtual keyboard for smartphones with support for more than 900+ language varieties and over 1 billion installs. In addition to decoding noisy signals from input modalities including tap and word-gesture typing, Gboard provides auto-correction, word completion, and next-word prediction features. Next-word predictions provide a tool for facilitating text entry and is plays an important role in improving user experience.

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A Comprehensive Guide on Deep learning for Computer vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Source: Vision Image Overview Deep learning is the most powerful method used to work on vision-related tasks. Convolutional Neural Networks or convents are a type of deep learning model which we use to approach computer vision-related applications. In this guide, we will explore how […].

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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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A Guide on Deep Learning: From Basics to Advanced Concepts

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Welcome to my guide! In this guide, we will cover basic as well as advanced topics involved in Deep Learning. This guide will help you in gaining confidence in the concepts of Deep Learning. So let’s begin with our journey! Why do we need […]. The post A Guide on Deep Learning: From Basics to Advanced Concepts appeared first on Analytics Vidhya.

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Text Classification using BERT and TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In 2018, a powerful Transformer-based machine learning model, namely, BERT was developed by Jacob Devlin and his colleagues from Google for NLP applications. BERT is a very good pre-trained language model which helps machines learn excellent representations of text wrt context in many natural […].

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Image Operations in Python with OpenCV: Eroding, Dilation, and more!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As we all know, OpenCV is a free open source library used for computer vision and image operations. OpenCV is written in C++ and has thousands of optimized algorithms and functions for various image operations. A lot of real-life operations can be solved […]. The post Image Operations in Python with OpenCV: Eroding, Dilation, and more!

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Manual for the First Time Users: Google BERT for Text Classification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Source: huggingface.io Hey Folks! […]. The post Manual for the First Time Users: Google BERT for Text Classification appeared first on Analytics Vidhya.

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Computer Vision to Detect License Number Plate

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this fastest era of technology, it is very difficult to stop every vehicle on the road and check its number plate in the search for one criminal car. With the increase in road fraud, the cops are also becoming smarter. They […]. The post Computer Vision to Detect License Number Plate 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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Comprehensive Project on Building a Movie Recommender Website

Analytics Vidhya

This article was published as a part of the Data Science Blogathon […]. The post Comprehensive Project on Building a Movie Recommender Website appeared first on Analytics Vidhya.

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Optical Character Recognition using Pytesseract

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In this blog, we will be using computer vision techniques to extract the text from the images. After extracting the text we will apply some basic functions of OpenCV on that text to enhance it and to get more accurate results. This project […]. The post Optical Character Recognition using Pytesseract appeared first on Analytics Vidhya.

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Stock Market Analysis with Pandas – DataReader and Plotly for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction You must have come across news articles, updates of stock markets rallying, stocks falling, and so on. Stock markets are volatile. Stock prices daily go up and down. Keeping a track of such changes and trends can be tedious for a data professional. […]. The post Stock Market Analysis with Pandas – DataReader and Plotly for Beginners appeared first on Analytics Vidhya.

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All NLP tasks using Transformers Pipeline

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Image source: huggingface.io Contents 1. […]. The post All NLP tasks using Transformers Pipeline appeared first on Analytics Vidhya.

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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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Vehicle Detection and Counting System using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In this article, we will be coding a vehicle counting and detection system. It will be enough to work for both the images or the video, for the same, we will be using OpenCV for doing all the image processing operations and for classification […]. The post Vehicle Detection and Counting System using OpenCV appeared first on Analytics Vidhya.

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Fine-tune BERT Model for Sentiment Analysis in Google Colab

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Objective In this blog, we will learn how to Fine-tune a Pre-trained BERT model for the Sentiment analysis task. Prerequisites Working knowledge of Python and training neural networks using Tensorflow Introduction to BERT Model for Sentiment Analysis Sentiment Analysis is a major task in Natural […].

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What do Banks do with data? Case Study: Predicting the salary of a Bank Customer using Financial Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Financial Companies and Banks have a lot of data. Nowadays, customers do a lot of online transactions, make purchases with their card, others use the Bank’s mobile app, website, and so on. Banks have a lot of data about their customers. The data which […]. The post What do Banks do with data?

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Fast and Effective ways to Extract Keyphrases using TFIDF with Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Keyphrase extraction is concerned with automatically extracting a set of representative phrases from a document that concisely summarize its content (Hasan and Ng, 2014). A key phrase is a short phrase (usually one to three words) that provides a key idea of a […].

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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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All about Data Science Professionals

Analytics Vidhya

Objective Describe the different entities that form the best data ecosystem Describe and differentiate between the different types of data professionals, their roles and responsibilities in the data ecosystem Introduction In todays’ world, regardless of your professional background, you must have definitely come across the terms like “Data Science”, “Data Engineering”, “Business Analyst”, and […].

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Deep Learning in Medical: Classification of Malaria Infected Blood Cells with ResNet

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Photo by Hush Naidoo Jade Photography Pre-requisite: Basic understanding of Python, Deep Learning, Classification, and Computer Vision Deep learning is a subset of machine learning and has been applied in various fields to help solve existing problems. One area of application of deep learning […].

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Explosion in 2021: Our Year in Review

Explosion

The year 2021 is coming to an end, and like the previous year, it was shaped by unique challenges that impacted our work together. For Explosion, it was a very productive year. We found an investor that fits our strategy, the work on Prodigy Teams is in full swing, and the team has grown a lot. So here's our look back at our highlights of the year 2021.

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