Analytics Vidhya
OCTOBER 7, 2022
This article was published as a part of the Data Science Blogathon. Introduction With the increasing use of technology, data accumulation is faster than ever due to connected smart devices. These devices continuously collect and transmit data that can be processed, transformed, and stored for later use. This collected data, known as big data, holds valuable […].
Eugene Yan
OCTOBER 1, 2022
My three favorite papers, 17 paper summaries, and ML and non-ML lessons.
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DeepMind
OCTOBER 4, 2022
In our paper, published today in Nature, we introduce AlphaTensor, the first artificial intelligence (AI) system for discovering novel, efficient, and provably correct algorithms for fundamental tasks such as matrix multiplication. This sheds light on a 50-year-old open question in mathematics about finding the fastest way to multiply two matrices. This paper is a stepping stone in DeepMind’s mission to advance science and unlock the most fundamental problems using AI.
Jay Alammar
OCTOBER 3, 2022
Translations: Chinese , Vietnamese. ( V2 Nov 2022 : Updated images for more precise description of forward diffusion. A few more images in this version) AI image generation is the most recent AI capability blowing people’s minds (mine included). The ability to create striking visuals from text descriptions has a magical quality to it and points clearly to a shift in how humans create art.
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
OCTOBER 2, 2022
This article was published as a part of the Data Science Blogathon. Introduction If you are a data scientist or a Python developer who sometimes wears the data scientist hat, you were likely required to work with some of these tools & technologies: Pandas, NumPy, PyArrow, and MongoDB. If you are new to these terms, […]. The post Using MongoDB with Pandas, NumPy, and PyArrow appeared first on Analytics Vidhya.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
DeepMind
OCTOBER 6, 2022
As we build increasingly advanced artificial intelligence (AI) systems, we want to make sure they don’t pursue undesired goals. Such behaviour in an AI agent is often the result of specification gaming – exploiting a poor choice of what they are rewarded for. In our latest paper, we explore a more subtle mechanism by which AI systems may unintentionally learn to pursue undesired goals: goal misgeneralisation (GMG).
Bitext
OCTOBER 7, 2022
The case for evaluation of NLU platforms Synthetic image and video have proven to be a big success for cost-cutting. Synthetic text is following suit: tabular data (that is the data organized in a table with rows and columns) is becoming mainstream already, and the next step is synthetic unstructured text, which is the data that doesn`t have a predefined format.
Analytics Vidhya
OCTOBER 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction Today, Data Lake is most commonly used to describe an ecosystem of IT tools and processes (infrastructure as a service, software as a service, etc.) that work together to make processing and storing large volumes of data easy. An ecosystem consists of […]. The post Key Components and Challenges of Data Lakes appeared first on Analytics Vidhya.
Dlabs.ai
OCTOBER 3, 2022
It shouldn’t come as a surprise to hear that Hollywood loves AI. Several of the world’s most iconic movies touch on AI in some way, with C3PO of Star Wars fame being one of the best-known examples (BTW — we’ve published an article on the top AI movies of all time , so if you’re looking for your next blockbuster, give it a read after this). Until now, AI has mostly been on the good side of power, but recently, our favorite enterprise made a decision that slightly alters this picture.
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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?
DeepMind
OCTOBER 6, 2022
As we build increasingly advanced artificial intelligence (AI) systems, we want to make sure they don’t pursue undesired goals. Such behaviour in an AI agent is often the result of specification gaming – exploiting a poor choice of what they are rewarded for. In our latest paper, we explore a more subtle mechanism by which AI systems may unintentionally learn to pursue undesired goals: goal misgeneralisation (GMG).
Bitext
OCTOBER 6, 2022
What Is Synthetic training data? Synthetic Training data is the data that is used to train an NLU engine. An NLU engine allows chatbots to understand the intent of user queries. The training data is enriched by data labeling or data annotation, with information about entities, slots… This training process provides the bot with the ability to hold a meaningful conversation with real people.
Analytics Vidhya
OCTOBER 2, 2022
This article was published as a part of the Data Science Blogathon. Introduction A business or a brand’s success depends solely on customer satisfaction. Suppose, if the customer does not like the product, you may have to work on the product to make it more efficient. So, for you to identify this, you will be […]. The post Sentiment Analysis Using VADER appeared first on Analytics Vidhya.
Explosion
OCTOBER 5, 2022
Coreference resolution is the problem of resolving entities in texts to references such as pronouns. Even if you've never heard of it, it's something we all do constantly every day, and is a key to understanding natural language. We recently added an experimental implementation of an end-to-end neural coreference component to spaCy. This post explains the architecture of our model in detail.
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
DeepMind
OCTOBER 4, 2022
In our paper, published today in Nature, we introduce AlphaTensor, the first artificial intelligence (AI) system for discovering novel, efficient, and provably correct algorithms for fundamental tasks such as matrix multiplication. This sheds light on a 50-year-old open question in mathematics about finding the fastest way to multiply two matrices. This paper is a stepping stone in DeepMind’s mission to advance science and unlock the most fundamental problems using AI.
Analytics Vidhya
OCTOBER 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction Machine learning projects can be extremely challenging in the IT industry. Several factors can make them difficult, including the volume of data that needs to be processed, the complexity of the algorithms involved, and the need to ensure that the systems are […].
Analytics Vidhya
OCTOBER 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction Physicists have reduced a quantum physics problem that required 100,000 equations into a bite-size task that only requires four equations using Artificial Intelligence (AI). Researchers at the US-based Flatiron Institute trained a machine learning tool to grasp the physics of electrons moving on […].
Analytics Vidhya
OCTOBER 3, 2022
This article was published as a part of the Data Science Blogathon. Introduction Today, we expect web applications to respond to user queries quickly, if not immediately. As applications cover more aspects of our daily lives, it is increasingly difficult to provide users with a quick response. Source: kafka.apache.org Caching is used to solve […].
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.
Analytics Vidhya
OCTOBER 3, 2022
This article was published as a part of the Data Science Blogathon. Introduction In data science, learning about databases is inevitable. In fact, as a data science expert, you have to learn how to work with databases, run queries quickly, and more. There is no way around it! He has two things to know. Learn […]. The post Demystifying NoSQL: Your Complete Interview Guide appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 3, 2022
This article was published as a part of the Data Science Blogathon. Introduction Working on a task involving the interpretation of chest X-ray medical images and no labeled data at your disposal? Well, no problem. Researchers from Harvard Medical School and Stanford University have devised an artificial intelligence diagnostic tool that can detect diseases from […].
Analytics Vidhya
OCTOBER 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction Borrowing and lending have always been essential components of the financial world. Without this, banks, governments, and businesses worldwide would be unable to function. When you borrow money from a bank, a bank is lending out someone else’s money. The bank, in […].
Analytics Vidhya
OCTOBER 2, 2022
This article was published as a part of the Data Science Blogathon. Introduction MLOps? Many persons have barely finished digesting the meaning of DevOps, and here come a new term, MLOps. But, those who understand the meaning of the older term DevOps are on the safe side. So, if you know what’s DevOps and you […]. The post Is MLOps Another Redundant Terminology?
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Analytics Vidhya
OCTOBER 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction Job interviews in data science demand particular abilities. The candidates who succeed in landing employment are often not the ones with the best technical abilities but those who can pair such capabilities with interview acumen. Even though the field of data science […].
Analytics Vidhya
OCTOBER 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction Elasticsearch is a search platform with quick search capabilities. It is a Lucene-based search engine developed in Java but supports clients in various languages such as Python, C#, Ruby, and PHP. It takes unstructured data from multiple sources as input and stores it […].
Analytics Vidhya
OCTOBER 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction While reading the heading of this article, one has surely got to know that this will gonna be the advanced topic with regards to SVM – The supervised machine learning algorithm capable of implementing both classification and regression problem statements. But no […].
Analytics Vidhya
OCTOBER 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction Blockchain has the ability to change many things about the banking and financial systems, digital art, smart contracts, and so on. From a commercial standpoint, we can think about blockchain technology as a new breed of business process improvement software. Blockchain and […].
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
Analytics Vidhya
OCTOBER 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction Continuous data streams are ubiquitous and become even more so as the number of IoT devices in use increases. Of course, data is stored, processed, and analyzed to provide predictive and actionable results. But analyzing petabytes takes a long time, even with […].
Analytics Vidhya
OCTOBER 1, 2022
This article was published as a part of the Data Science Blogathon. Introduction In 2017, The Economist declared that “the world’s most valuable resource is no longer oil, but data.” Companies like Google, Amazon, and Microsoft gather large bytes of data, harvest it, and create complex tracking algorithms. Yet, even for companies that do not […].
Analytics Vidhya
OCTOBER 4, 2022
Introduction From the past two decades machine learning, Artificial intelligence and Data Science have completely revolutionized the traditional technologies. Hence the demand of the professionals of this field is rising exponentially and Analytics Vidhya is bridging this gap by training and providing necessary aids to the aspiring tech enthusiasts.
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