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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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.
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.
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.
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.
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.
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).
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.
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.
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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?
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.
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 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.
DataRobot Blog
OCTOBER 4, 2022
The shift in consumer habits and geopolitical crises have rendered data patterns collected pre-COVID obsolete. This has prompted AI/ML model owners to retrain their legacy models using data from the post-COVID era, while adapting to continually fluctuating market trends and thinking creatively about forecasting. In this blog, we’ll review the DataRobot new Time Series clustering feature, which gives you a creative edge to build time series forecasting models by automatically grouping series that
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.
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 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 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 […].
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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.
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 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 […].
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.
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 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?
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 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 […].
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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.
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.
Analytics Vidhya
OCTOBER 3, 2022
This article was published as a part of the Data Science Blogathon. Introduction Let’s begin with a fun mind-teasing activity, shall we? Can you find the relation between the shapes on the left and the ones on the right? These are Bongard’s Puzzles for you, 100 of them designed by the Soviet computer scientist Mikhail Bongard, […].
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