Analytics Vidhya

DECEMBER 30, 2021

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. The post Text Classification using BERT and TensorFlow appeared first on Analytics Vidhya.

Machine Learning 373

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Analytics Vidhya

JULY 29, 2022

According to the IDC report, the world will spend $160 billion on cloud services and infrastructure in 2018. The post Different Types of Cloud-based Services appeared first on Analytics Vidhya. By 2025, 83% of enterprise workloads will be in the cloud. The cloud encompasses a […].

Cloud Computing 369

Cloud Computing Data Science Analytics Analytics 369

Dataconomy

DECEMBER 7, 2017

As ML and AI become increasingly ubiquitous in many industries, so does the proof that advanced analytics significantly improve day-to-day operations and drive more revenue for businesses. The post Machine Learning & Data Analysts: Seizing the Opportunity in 2018 appeared first on Dataconomy.

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Analytics Vidhya

OCTOBER 28, 2022

Source: Canva Introduction In 2018 the researchers of OpenAI presented a framework for achieving strong natural language understanding (NLU) with a single task-agnostic model through generative pre-training and discriminative fine-tuning. This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

OCTOBER 19, 2022

Source: Canva Introduction In 2018, Google AI researchers came up with BERT, which revolutionized the NLP domain. The post ALBERT Model for Self-Supervised Learning appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. The key […].

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Analytics Vidhya

OCTOBER 27, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018 Google AI released a self-supervised learning model […]. The post A Gentle Introduction to RoBERTa appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 24, 2024

However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). LLAMA2 […] The post Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 23, 2023

In the year 2018, Google launched cloud AutoML which gained a lot of interest and is one of the most significant tools in the field of Machine Learning and Artificial Intelligence. Introduction AutoML is also known as Automatic Machine Learning.

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Analytics Vidhya

APRIL 29, 2024

Introduction In 2018, when we were contemplating whether AI would take over our jobs or not, OpenAI put us on the edge of believing that. Will AI replace software engineers, writers, and […] The post 12 Alternatives of Sora Easing Our Work in 2024 appeared first on Analytics Vidhya. But is it a threat or a boon?

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Analytics Vidhya

JUNE 26, 2019

DataHack Summit 2019 Bringing Together Futurists to Achieve Super Intelligence DataHack Summit 2018 was a grand success with more than 1,000 attendees from various. The post Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet appeared first on Analytics Vidhya.

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Data Science Dojo

SEPTEMBER 8, 2023

Artificial Intelligence (AI) and Predictive Analytics are revolutionizing the way engineers approach their work. This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. Descriptive analytics involves summarizing historical data to extract insights into past events.

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Dataconomy

JUNE 30, 2021

Big data is one of the most rapidly growing industries in the world and was valued at $169 billion in 2018, with expectations to approach the $300 billion mark by the end of next year. Even with such monetary influence in the world already, the industry is still figuring itself.

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Dataconomy

SEPTEMBER 4, 2023

Cloud analytics is one example of a new technology that has changed the game. Let’s delve into what cloud analytics is, how it differs from on-premises solutions, and, most importantly, the eight remarkable ways it can propel your business forward – while keeping a keen eye on the potential pitfalls. What is cloud analytics?

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Dataconomy

JANUARY 17, 2019

Here is what “The State of European Tech 2018”, a data-driven analytical report by Atomico reveals about the factors that are accelerating the growth of tech in the European economy The comparison of Europe’s tech scene with Silicon Valley in the U.S and Asia (particularly China) has been a topic. appeared first on Dataconomy.

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Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. There are a number of reasons that data analytics is transforming the direction of GTM marketing in 2021. Some of these were addressed in the Data Driven Summit 2018. The Right Data Analytics Tools Must Be Leveraged for GTM Strategies. Let’s begin.

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Smart Data Collective

OCTOBER 13, 2020

Data analytics has been the basis for the cryptocurrency market for years. In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. They found that predictive analytics algorithms were using social media data to forecast asset prices.

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Smart Data Collective

SEPTEMBER 13, 2021

Construction analytics is a new field that was worth just over $5 billion in 2018. Why is the construction analytics market growing at such a fast pace? However, the biggest benefit of construction analytics is that it can help alleviate the costs of building development mistakes. billion by 2026. Improve Documentation.

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Smart Data Collective

DECEMBER 18, 2020

Hackers have turned to exploiting website optimization platform Google Analytics to steal credit cards, passwords, IP addresses and a whole host of compromising information that can be shared by hacked sites. As a result, the attackers could access the stolen data in their Google Analytics account.”. Exploiting Header Flaws.

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Analytics Analytics 118

Smart Data Collective

JUNE 10, 2019

You probably wouldn’t think that data analytics would be the core solution. Following the groundbreaking IPCC report on climate change in October 2018, green tech companies are expected to gain bigger investments from companies looking to divest their savings from fossil fuel resources. Big Data Helps Meet UN Climate Targets.

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Dataconomy

FEBRUARY 27, 2017

We’re on trajectory – by 2018 – to generate 50TB of data every single. Researchers have estimated that 25 years ago, around 100GB of data was generated every day. By 1997, we were generating 100GB every hour and by 2002 the same amount of data was generated in a second.

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ODSC - Open Data Science

MARCH 12, 2025

By analyzing conference session titles and abstracts from 2018 to 2024, we can trace the rise and fall of key trends that shaped the industry. 20212024: With automated insights and AI-driven analytics improving, the emphasis shifted from visualization to explainability and storytelling.

Data Science 52

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Dataconomy

FEBRUARY 19, 2019

In 2018, the GDPR changed how tech companies handle data privacy. In 2019, it’s influencing the public’s perception of internet privacy and changing how tech companies treat violations—and one another. Last month, I wrote about the state of internet privacy in the context of the GDPR and other regulations that.

Analytics 161

Analytics Analytics 161

Dataconomy

MARCH 19, 2025

By 2018, these powerful tools were made available for third-party use, marking a significant milestone in the accessibility of high-performance computing resources. Data analytics TPUs play a vital role in data analytics by facilitating complex matrix operations that form the backbone of many analytical tools and methodologies.

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Data Science Dojo

MAY 27, 2024

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. In this blog, we will explore the details of both approaches and navigate through their differences. What is Generative AI?

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DataRobot Blog

MAY 25, 2018

Earlier this month without nearly the grandiose fanfare or market madness of Gartner Magic Quadrant releases, the Gartner Critical Capabilities for Analytics and Business Intelligence Platforms Report 2018 was quietly. Read More.

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Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. In every release, we're making Tableau easier to use, more powerful, and simpler to deploy to support governed data and analytics at scale. Accelerate adoption with intuitive analytics that people love to use.

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IBM Journey to AI blog

AUGUST 24, 2023

Formed in 2018 to compete in the inaugural Call for Code Global Challenge — which it won — Project OWL is a global team of entrepreneurs focused on creating radically cost-effective and easy to use aerospace technologies. This is where Project OWL comes into play: developing new technologies to help address these challenges.

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Dataconomy

NOVEMBER 29, 2023

billion Yahoo December 2016 1 billion Yahoo December 2016 1 billion Yahoo September 2016 500 million Veeam September 2018 445 million Marriott November 2018 383 million Exactis June 2018 340 million Zynga September 2019 218 million Deep Root Analytics June 2017 200 million Dubsmash February 2019 161.55

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Analytics Analytics 169

Tableau

MARCH 3, 2022

Tableau has been named a Leader in the Gartner Magic Quadrant for Analytics & Business Intelligence Platforms for the 10th consecutive year. Introduced Slack-first analytics to put data in the flow of work —and at the center of every conversation. Empower everyone with analytics. Put analytics in the flow of work.

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Tableau

MARCH 3, 2022

Tableau has been named a Leader in the Gartner Magic Quadrant for Analytics & Business Intelligence Platforms for the 10th consecutive year. Introduced Slack-first analytics to put data in the flow of work —and at the center of every conversation. Empower everyone with analytics. Put analytics in the flow of work.

Tableau 98

Tableau Business Intelligence Business Intelligence Analytics 98

DataRobot Blog

APRIL 1, 2018

Paxata was a Silver Sponsor at the recent Gartner Data and Analytics Summit in Grapevine Texas. Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. From all the sessions and conversations, we took away three important themes.

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Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.

Machine Learning 140

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Flipboard

JUNE 15, 2025

This study, published in the journal, Scientific Reports , looked at data collected between 2009 and 2018 from the National Health and Nutrition Examination Survey, a large U.S. We wanted to use advanced data analytic techniques, like machine learning, to predict this behavior." survey that tracks health and diet habits.

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Smart Data Collective

APRIL 22, 2021

Brown University became the first college to use big data analytics in construction in 2015, and others soon followed. Big data analytics engines can look at commonalities between past worksites to understand how some events impact expenses. Big data analytics can help. Big data offers the insight to do so. Waste Reduction.

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Smart Data Collective

MARCH 8, 2021

The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. All in all, the concept of big data is all about predictive analytics. What’s even more important, predictive analytics prevents accidents on the road. Predictive analytics takes care of both direct and indirect costs.

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AWS Machine Learning Blog

MARCH 8, 2023

In this post, you will learn how Marubeni is optimizing market decisions by using the broad set of AWS analytics and ML services, to build a robust and cost-effective Power Bid Optimization solution. He has over 25 years of technology experience and has joined AWS in 2018. He holds a Ph.D. in Electrical Engineering and a B.S.

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