Guide to Perceiver: A Scalable Transformer-based Model - Analytics India Magazine

Real-World Data comes in several modalities such as audio, text, video and images. Understanding different kinds of data and extracting patterns in it requires algorithms and models specific to the modality of the data.

Read more: https://analyticsindiamag.com/guide-to-perceiver-a-scalable-transformer-based-model/

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Guide to Perceiver: A Scalable Transformer-based Model - Analytics India Magazine

AI & Data Science India Salary Study - 2021

The annual Analytics India Salary report presented by AIM and AnalytixLabs is the only annual study in India that delves into salary trends and provides a comprehensive view of the changing landscape of analytics salaries. The report, now in its seventh year, look at the distribution of average salaries across several categories including years of experience, metropolitan regions, industries, education levels, gender, tools, and skills.

The Data Analytics function is experiencing significant growth and development in terms of skills, capabilities, and funding. Last year, despite the pandemic, the Indian start-up industry witnessed $836.3 million investment, almost a 10% (9.7%) increase than the previous year. Also, more than one in five (21%) analytics teams across firms in India witnessed a growth in the last 12 months and the post-pandemic job market saw an upswing of data science jobs. The development of the data science domain is evidenced by the high salaries drawn by analytics professionals across the organization, with Analytics professionals doing relatively well in spite of the pandemic.

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Ajay Kapoor

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Digital Transformation Consulting Services & solutions

Compete in this Digital-First world with PixelCrayons’ advanced level digital transformation consulting services. With 16+ years of domain expertise, we have transformed thousands of companies digitally. Our insight-led, unique, and mindful thinking process helps organizations realize Digital Capital from business outcomes.

Let our expert digital transformation consultants partner with you in order to solve even complex business problems at speed and at scale.

Digital transformation company in india

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Guide to Perceiver: A Scalable Transformer-based Model - Analytics India Magazine

Real-World Data comes in several modalities such as audio, text, video and images. Understanding different kinds of data and extracting patterns in it requires algorithms and models specific to the modality of the data.

Read more: https://analyticsindiamag.com/guide-to-perceiver-a-scalable-transformer-based-model/

#ai

Chelsie  Towne

Chelsie Towne

1596716340

A Deep Dive Into the Transformer Architecture – The Transformer Models

Transformers for Natural Language Processing

It may seem like a long time since the world of natural language processing (NLP) was transformed by the seminal “Attention is All You Need” paper by Vaswani et al., but in fact that was less than 3 years ago. The relative recency of the introduction of transformer architectures and the ubiquity with which they have upended language tasks speaks to the rapid rate of progress in machine learning and artificial intelligence. There’s no better time than now to gain a deep understanding of the inner workings of transformer architectures, especially with transformer models making big inroads into diverse new applications like predicting chemical reactions and reinforcement learning.

Whether you’re an old hand or you’re only paying attention to transformer style architecture for the first time, this article should offer something for you. First, we’ll dive deep into the fundamental concepts used to build the original 2017 Transformer. Then we’ll touch on some of the developments implemented in subsequent transformer models. Where appropriate we’ll point out some limitations and how modern models inheriting ideas from the original Transformer are trying to overcome various shortcomings or improve performance.

What Do Transformers Do?

Transformers are the current state-of-the-art type of model for dealing with sequences. Perhaps the most prominent application of these models is in text processing tasks, and the most prominent of these is machine translation. In fact, transformers and their conceptual progeny have infiltrated just about every benchmark leaderboard in natural language processing (NLP), from question answering to grammar correction. In many ways transformer architectures are undergoing a surge in development similar to what we saw with convolutional neural networks following the 2012 ImageNet competition, for better and for worse.

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Ian  Robinson

Ian Robinson

1624380660

Gaurav Shinh: Leveraging Big Data Analytics to Transform Businesses

DAAS Labs is adept at delivering solutions using smart data analytics.

To understand the peculiarities of the tech world, especially big data analytics, it is imperative to gain knowledgeable insights from industry leaders regarding new trends and innovations that are impacting the world. In a recent interview with Analytics Insight, Gaurav Shinh, the CEO of DAAS Labs, briefly discussed the impact of big data analytics in the industry and how DAAS Labs is driving innovation in the world.

Question 1: What is DAAS Labs? What is the specialization of the company, and what are the services that the company offers?
**Question****2:**What inspired you to start DAAS Labs, and how has the journey been since its inception?
Question 3: What role did you play while making this organization and how you managed it?
Question 4: What makes your product unique in the market?

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