Sat.Jul 09, 2022 - Fri.Jul 15, 2022

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The Complete Guide to Web 3.0 and How it’s Shaping the Future?

Analytics Vidhya

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 […].

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DataRobot Celebrates a Decade of Innovation with Industry Recognition

DataRobot Blog

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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Working together with YouTube

DeepMind

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.

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DALL·E 2: Extending creativity

OpenAI

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.

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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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Analyzing Hacker’s Dataset using KMeans MLIB

Analytics Vidhya

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.

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Perceiver AR: general-purpose, long-context autoregressive generation

DeepMind

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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DALL·E 2: Extending Creativity

OpenAI

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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Recommending Similar Images using Image Embedding

Analytics Vidhya

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 […].

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Introducing Holmes 4.0

Explosion

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.

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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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Perceiver AR: general-purpose, long-context autoregressive generation

DeepMind

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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Why do Policy Gradient Methods work so well in Cooperative MARL? Evidence from Policy Representation

BAIR

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 147
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Handwritten Digit Recognition using TensorFlow

Analytics Vidhya

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 […].

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Introducing spaCy v3.4

Explosion

spaCy v3.4 brings typing and speed improvements along with new vectors for English CNN pipelines and new trained pipelines for Croatian.

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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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DeepMind’s latest research at ICML 2022

DeepMind

Starting this weekend, the thirty-ninth International Conference on Machine Learning (ICML 2022) is meeting from 17-23 July, 2022 at the Baltimore Convention Center in Maryland, USA, and will be running as a hybrid event. Researchers working across artificial intelligence, data science, machine vision, computational biology, speech recognition, and more are presenting and publishing their cutting-edge work in machine learning.

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An Accurate Approach to Data Imputation

Analytics Vidhya

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 […].

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Introduction to K-Means Clustering using MLIB

Analytics Vidhya

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 […].

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Airflow for Orchestrating REST API Applications

Analytics Vidhya

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 […].

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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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6 AI-powered Applications for Providing In-Vehicle Comfort

Analytics Vidhya

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 […].

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20 Most Asked Interview Questions of Python

Analytics Vidhya

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 […].

Python 383
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Using Artificial Intelligence in Diesel Generator

Analytics Vidhya

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.

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IoT-based Robotic Solutions for Hospital Assistance

Analytics Vidhya

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 […].

Robotics 381
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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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Scraping IMDB Reviews in Python using Selenium

Analytics Vidhya

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 371
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Segmentation of Wheat Crops using MLIB’s K-Means

Analytics Vidhya

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 […].

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Brain MRI Segmentation with 0.95 Dice score

Analytics Vidhya

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.

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Classify University as Private or Public using MLIB

Analytics Vidhya

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.

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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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Basics of Data Modeling and Warehousing for Data Engineers

Analytics Vidhya

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.

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End-to-End Project on SMS/Email Spam Detection using Naive Bayes

Analytics Vidhya

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 […].

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Sending Telegram Messages made Easier with Telegram Bot

Analytics Vidhya

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.