Analytics Vidhya

JULY 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction Python is a general-purpose and interpreted programming language. It can be used to create a Web application and is widely used in Artificial Intelligence. Due to the implementation of machine learning and deep learning models, it has become the language of demand […].

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Python Deep Learning Artificial Intelligence Artificial Intelligence 353

BAIR

JULY 10, 2022

In cooperative multi-agent reinforcement learning (MARL), due to its on-policy nature, policy gradient (PG) methods are typically believed to be less sample efficient than value decomposition (VD) methods, which are off-policy. However, some recent empirical studies demonstrate that with proper input representation and hyper-parameter tuning, multi-agent PG can achieve surprisingly strong performance compared to off-policy VD methods.

Algorithm 137

Algorithm 137

DataRobot Blog

JULY 13, 2022

Last month at DataRobot AIX 22 , we celebrated an exciting milestone at DataRobot, our ten-year anniversary. This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world.

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Artificial Intelligence Artificial Intelligence Machine Learning Data Science 105

DeepMind

JULY 13, 2022

Applying our AI research to enhance the YouTube experience. Helping enrich people’s lives with our research, we’ve partnered with businesses across Alphabet to apply our technology towards improving the products and services used by billions of people every day.

AI Researcher 82

AI Researcher AI Research AI AI 82

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

JULY 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction K-means clustering is one of the algorithms which unsupervised machine learning supports hence before moving forward with K-means let’s have background knowledge of the unsupervised learning method. In this method, we don’t have predefined labels unlike the supervised method hence we don’t […].

Machine Learning 349

Machine Learning Algorithm Data Science 349

Dlabs.ai

JULY 14, 2022

Are you planning to build a sentiment analysis but don’t know how to start? In this article, you will find 7 key steps that need to perform. 1. Choose your content First, you have to decide what kind of content you want to analyze. People express emotions differently in a movie review than in email correspondence, and the context influences the process design. 2.

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BERT Machine Learning NLP AI 52

DeepMind

JULY 15, 2022

We develop Perceiver AR, an autoregressive, modality-agnostic architecture which uses cross-attention to map long-range inputs to a small number of latents while also maintaining end-to-end causal masking. Perceiver AR can directly attend to over a hundred thousand tokens, enabling practical long-context density estimation without the need for hand-crafted sparsity patterns or memory mechanisms.

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Analytics Vidhya

JULY 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will see how to build an application that can recognize digits that are written by hand. The application will recognize our handwriting. Nowadays, technology has increased tremendously, and the computer can recognize anything. Here there are two categories […].

Data Science 349

Data Science Python 349

OpenAI

JULY 14, 2022

As part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows. The artists in our early access group have helped us discover new uses for DALL·E and have served as key voices as we’ve made decisions about DALL·E’s features. Creative professionals using DALL·E today range from illustrators, AR designers, and authors to chefs, landscape architects, tattoo artists, and clot

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Explainability 53

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Explosion

JULY 12, 2022

A few weeks ago we released version 4.0 of Holmes, which we are now able to offer under a permissive MIT license. Holmes is a library in the spaCy Universe that runs on top of spaCy and enables information extraction and intelligent search, currently for English and German. Holmes goes beyond simple matching algorithms and allows you to look for a specified idea or ideas in a corpus of documents.

Algorithm 40

Algorithm 40

DeepMind

JULY 15, 2022

We develop Perceiver AR, an autoregressive, modality-agnostic architecture which uses cross-attention to map long-range inputs to a small number of latents while also maintaining end-to-end causal masking. Perceiver AR can directly attend to over a hundred thousand tokens, enabling practical long-context density estimation without the need for hand-crafted sparsity patterns or memory mechanisms.

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Analytics Vidhya

JULY 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential. Unfortunately, a large part of the data collected is not readily ideal for training machine learning models, this increases […].

Machine Learning 345

Machine Learning Data Science Python 345

Analytics Vidhya

JULY 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction Today, Artificial Intelligence and Machine Learning have wide applications across all domains for several problem statements like Speech Recognition, understanding customer sentiment towards a product, etc. However, for building a reliable and robust model, we need a large volume of data.

Python 340

Python Artificial Intelligence Artificial Intelligence Machine Learning 340

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Analytics Vidhya

JULY 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction The use of artificial intelligence (AI) in diesel generator sets is becoming more common as the technology continues to develop and become more affordable. A DG is a type of internal combustion engine that uses diesel fuel to generate electrical power. Major […]. The post Using Artificial Intelligence in Diesel Generator appeared first on Analytics Vidhya.

Artificial Intelligence 339

Artificial Intelligence Artificial Intelligence Data Science AI 339

Analytics Vidhya

JULY 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction This article will be a cakewalk through a consulting project where we will be working with a large technology firm to predict whether certain types of hackers were involved in hacking their servers or not! To solve this real-world problem, we will […]. The post Analyzing Hacker’s Dataset using KMeans MLIB appeared first on Analytics Vidhya.

Data Science 339

Data Science Python 339

Analytics Vidhya

JULY 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the present situation, the coronavirus (COVID-19) pandemic is putting even the best hospitals worldwide under tremendous pressure. With rapid development in the field of robotics and automation, there have been intelligent systems that can play a crucial role in reducing the […].

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Robotics Data Science Automation 338

Analytics Vidhya

JULY 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction The third generation of the world wide web is called Web 3.0 and it first appeared in Tim Berners-Lee’s paper, “The Semantic Web.” Web 3.0 has been described as an evolution of the current web, which will be characterized by seamless integration […].

Data Science 335

Data Science 335

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

JULY 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction to AI-powered Applications Many a time while driving, we need to adjust things like in-vehicle seat relaxation function, interior lighting, music, air-conditioning, fragrances, etc, manually while attempting to keep our eyes on the road. However, it is very inconvenient and sometimes it can […].

Data Science 332

Data Science AI AI Machine Learning 332

Analytics Vidhya

JULY 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a simple recommendation system. For a given product, we will try to suggest or recommend similar-looking products. E-commerce websites often use such recommender systems. It works on a simple logic – if a consumer shows interest […].

Data Science 328

Data Science NLP Python 328

Analytics Vidhya

JULY 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this blog, we will try to solve a famously discussed task of Brain MRI segmentation. Where our task will be to take brain MR images as input and utilize them with deep learning for automatic brain segmentation matured to a level […]. The post Brain MRI Segmentation with 0.95 Dice score appeared first on Analytics Vidhya.

Deep Learning 315

Deep Learning Data Science 315

Analytics Vidhya

JULY 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Apache Airflow “Apache Airflow is the most widely-adopted, open-source workflow management platform for data engineering pipelines. It started at Airbnb in October 2014 as a solution to manage the company’s increasingly complex workflows. Most organizations today with complex data pipelines to […].

Data Science 313

Data Science Python 313

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

JULY 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction to MLIB This article will help solve the real-world problem of students classifying the university as a Private or a Public university based on the features we fed in the model that will be trained by various three methods, which we will […]. The post Classify University as Private or Public using MLIB appeared first on Analytics Vidhya.

Data Science 301

Data Science Machine Learning 301

Analytics Vidhya

JULY 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction to MLIB’s K Means Most of the machine learning task usually revolves around either the supervised learning approach i.e. the one which gives the label (the column to be predicted) or the unsupervised learning that don’t have any label column in the […].

Machine Learning 300

Machine Learning Data Science 300

Analytics Vidhya

JULY 15, 2022

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction to Naive Bayes With the increase in online consumption of products and services, consumers are facing a huge problem of abundance of spam messages in their inboxes which are either promotional-based or fraudulent. But due to this the messages/Email which […].

Data Science 294

Data Science Python Machine Learning 294

Analytics Vidhya

JULY 11, 2022

This article was published as a part of the Data Science Blogathon. Introduction Handling social media are now becoming more popular for all. Most of the time in groups or channels you may have seen that you are receiving automated messages from unknown people. But you need to get to know that messages are not […]. The post Sending Telegram Messages made Easier with Telegram Bot appeared first on Analytics Vidhya.

Data Science 291

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Analytics Vidhya

JULY 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction Companies struggle to manage and report all their data. Even asking basic questions like “how many customers we have in some places,” or “what product do our customers in their 20s buy the most” can be a challenge. The data repository should […]. The post Basics of Data Modeling and Warehousing for Data Engineers appeared first on Analytics Vidhya.

Data Science 286

Data Science Machine Learning 286

Analytics Vidhya

JULY 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction Backend as a Service (BaaS) has been a huge success in recent times and Firebase is one such popular BaaS offered by Google. It can essentially act as the complete backend solution for modern web and mobile applications. It provides a lot […]. The post Introduction to Google Firebase: Firestore using Python appeared first on Analytics Vidhya.

Python 277

Python Data Science 277

Analytics Vidhya

JULY 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction In a large dataset, duplicated data leads to resource and disk space waste, and the chance of errors and inconsistencies increases. Therefore, we must decompose redundant data relationships into manageable and more well-structured ones. Through normalization, we can restructure a relational database […].

Data Science 267

Data Science 267