Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon + Image 1 Overview This article will support data scientists in furthering their studies on artificial neural networks so that they can develop applications for professional use. We introduce the concept of ANN, from the Perceptron device, we conceptualize input neurons, functions, and activation […].

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Shreyansh Singh

DECEMBER 11, 2021

Motivation Privacy-preserving Machine Learning had always been exciting for me. Since my B.Tech. thesis involving PPML (SMPC + Computer Vision), I didn’t get a chance to work on it after that. So, after about 2 years, I have started to read about it again, and sharing it with the community. Federated Learning is a domain that I had somewhat eluded during my thesis.

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OpenAI

DECEMBER 16, 2021

We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.

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Explosion

DECEMBER 14, 2021

Create better access to health with machine learning and natural language processing. Read about our journey of developing Healthsea, an end-to-end spaCy pipeline for analyzing user reviews to supplement products and extracting potential effects on health.

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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

DECEMBER 11, 2021

This article was published as a part of the Data Science Blogathon In this world, Agriculture and farming are some of the oldest professions. As the population grows high, the need to grow and yield more, better crops and the best quality also increases. New technologies like Artificial Intelligence (AI) and Blockchain come in handy. To […]. The post Artificial Intelligence (AI): The Ultimate Solution in Agriculture appeared first on Analytics Vidhya.

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The Stanford AI Lab Blog

DECEMBER 17, 2021

TL;DR Want something better than (k)-means? Our state-of-the-art (k)-medoids algorithm from NeurIPS, BanditPAM, is now publicly available! (texttt{pip install banditpam}) and you're good to go! Like the (k)-means problem, the (k)-medoids problem is a clustering problem in which our objective is to partition a dataset into disjoint subsets. In (k)-medoids, however, we require that the cluster centers must be actual datapoints, which permits greater interpretability of the cluster centers.

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Explosion

DECEMBER 13, 2021

We present Universal Dependencies v2.5 benchmarks for spaCy v3.2 that show the competitive performance of spaCy in a direct comparison with Stanza and Trankit using the end-to-end evaluation from the CoNLL 2018 Shared Task.

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Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction In the past few years, Natural language processing has evolved a lot using deep neural networks. Many state-of-the-art models are built on deep neural networks. BERT (Bidirectional Encoder Representations from Transformers) is a very recent work published by Google AI Language researchers.

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Analytics Vidhya

DECEMBER 15, 2021

Introduction While we bid adieu to 2021, one should not fail to acknowledge the fact that it was another crazy year in the history of humanity. We all aged simultaneously with a never-ending pandemic turning up with new variants every now and then. Coming to data science, 2021 was a very incremental year for this […]. The post A Review of 2021 and Trends in 2022 – A Technical Overview of the Data Industry!

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Generative AI

Analytics Vidhya

DECEMBER 13, 2021

Introduction 2021 is a year that proved nothing is better than a Proof of Work to evaluate any candidate’s worth, initiative, and skill. Pursuing any data science project will help you polish your resume. These projects will not only deepen an understanding of the concepts but also, help you gain some practical experience in the […]. The post Top Data Science Projects to add to your Portfolio in 2021 appeared first on Analytics Vidhya.

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Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, We will develop an End to End project which will be based on Pure Deep Learning. I’m using Pure term here, the reason you’ll come to know in my further articles. The reason behind building this project is to detect […]. The post End to End Potato Leaf Disease Prediction Project – A Complete Guide appeared first on Analytics Vidhya.

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Deep Learning Data Science Python 342

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon What is object detection? Cf the many Computer Vision cognitive application, object detection is one of the highly used techniques to identify and locate objects in images and videos. As the name suggests – ‘Computer Vision’, is the ability for computers to acquire human-like […].

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Computer Vision Data Science Python 331

Analytics Vidhya

DECEMBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, I will explain to you about using Yolo v5 Algorithm for Detecting & Classifying different types of 60+ Road Traffic Signs. We will start from very basic and covers each step like Preparation of Dataset, Training, and Testing. In this article, […].

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Algorithm Explainability Data Science Computer Vision 331

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

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Overview CATBOOST is an open-source machine learning library developed by a Russian search engine giant Yandex. One of the prominent aspects of catboost is its ability to handle missing data and categorical data without encoding but will get to that later. It makes feature […].

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Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Image Credit: istockphoto Hello Siri!, what the time. This sound will sound familiar to most of us as we practically use mobile phones 24*7. I don’t really remember the last time I typed any query on the google search engine I just simply ask […]. The post An End-End Guide for Speech Recognition in Python appeared first on Analytics Vidhya.

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Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the dataset Introduction Making predictions about the future from historical data available (time series forecasting) is a very important tool with a wide variety of applications like product demand forecasting, weather, and climate forecasting, forecasting in the healthcare sector, etc. There are two main approaches to time series […].

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Analytics Vidhya

DECEMBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction In today’s digital world, social media platforms like Facebook, Whatsapp, Twitter have become a part of our everyday schedule. Many NLP techniques can be used on the text data available from Twitter. Sentiment analysis refers to the idea of predicting the sentiment ( […].

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Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction If you want to make charts like the above one so let’s get to know about the amazing Pyecharts library. Generally, the bar chart which we use of matplotlib library is static and there are very few parameters to tweak to make it […]. The post PyeChart Data Visualization Library for Enhanced Visuals appeared first on Analytics Vidhya.

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Explosion

DECEMBER 14, 2021

Create better access to health with machine learning and natural language processing. Read about the journey of developing Healthsea, an end-to-end spaCy pipeline for analyzing user reviews to supplementary products and extracting their potential effects on health. ? Hello everyone, my name is Edward! I’m a machine learning engineer at Explosion, and together with our fantastic team , we’ve been working on Healthsea to further expand the spaCy universe ?.

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Explosion

DECEMBER 13, 2021

To demonstrate the performance of spaCy v3.2, we present a series of UD benchmarks comparable to the Stanza and Trankit evaluations on Universal Dependencies v2.5 , using the evaluation from the CoNLL 2018 Shared Task. The benchmarks show the competitive performance of spaCy’s core components for tagging, parsing and sentence segmentation and also let us highlight and evaluate the new edit tree lemmatizer.

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