Analytics Vidhya
NOVEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Introduction Which language do we use when it comes to data analysis? Of course, Python, isn’t it? But there is one more language for data analysis which is growing rapidly. Some of you might guess the language – I am talking about Julia. […]. The post An Introduction to Julia for Data Analysis appeared first on Analytics Vidhya.
Cassie Kozyrkov
NOVEMBER 27, 2022
Introduction to “good” statistical estimators and their properties Continue reading on Towards Data Science »
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Eugene Yan
NOVEMBER 26, 2022
The fundamentals of text-to-image generation, relevant papers, and experimenting with DDPM.
O'Reilly Media
NOVEMBER 29, 2022
Major catastrophes can transform industries and cultures. The Johnstown Flood, the sinking of the Titanic, the explosion of the Hindenburg, the flawed response to Hurricane Katrina–each had a lasting impact. Even when catastrophes don’t kill large numbers of people, they often change how we think and behave. The financial collapse of 2008 led to tighter regulation of banks and financial institutions.
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
DECEMBER 2, 2022
This article was published as a part of the Data Science Blogathon. Introduction K nearest neighbors are one of the most popular and best-performing algorithms in supervised machine learning. Furthermore, the KNN algorithm is the most widely used algorithm among all the other algorithms developed due to its speed and accurate results. Therefore, the data […].
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
OpenAI
NOVEMBER 30, 2022
We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT , which is trained to follow an instruction in a prompt and provide a detailed response.
DeepMind
NOVEMBER 30, 2022
Game-playing artificial intelligence (AI) systems have advanced to a new frontier. Stratego, the classic board game that’s more complex than chess and Go, and craftier than poker, has now been mastered. Published in Science, we present DeepNash, an AI agent that learned the game from scratch to a human expert level by playing against itself.
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Let’s say you want to build Dapp on top of the blockchain. So you wrote the code and configured your specification. Now you need to deploy it on the blockchain. But wait, you need to download the entire network to do so! […]. The post Dapp Deployment Using Quick Node RPC appeared first on Analytics Vidhya.
Explosion
DECEMBER 2, 2022
Named entity recognition models might not be able to handle a wide variety of spans, but Spancat certainly can! Dive into named entity recognition, its limitations, and how we’ve solved them with a solution-focused talk and practical applications.
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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?
NYU Center for Data Science
DECEMBER 2, 2022
We’re excited to welcome our second summer (and fourth overall) cohort of CURP (CDS Undergraduate Research Program) students this June. Below you can find some key logistical information on the upcoming summer session. PROGRAM DATES: JUNE 12 — AUGUST 19, 2023 LOCATION: RESEARCH PROJECTS WILL TAKE PLACE REMOTELY TIME COMMITMENT: 35 HOURS/WEEK FELLOWSHIP AWARD: $8,000 APPLICATION DEADLINE: MONDAY, JANUARY 9, 2023 In the program, students will: Under the supervision of CDS faculty, work on assigne
How to Learn Machine Learning
DECEMBER 2, 2022
Artificial Intelligence, or AI, has been making heads turn since the start of the 21st century. As we welcome 2023, AI will only become more evident in our lives. With time, AI will get smarter and will be used to handle many routine tasks. AI models are already offering automation and cyber security to diverse industries across the globe. Firms need to be aware of AI-based systems to improve productivity and efficiency.
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Source: Image by Gerd Altmann from Pixabay Smart contracts are blockchain-based computer programs that activate at predefined times. In most cases, they are used to eliminate the need for a third party during the execution of a contract, allowing all parties to […].
The MLOps Blog
NOVEMBER 30, 2022
These days enterprises are sitting on a pool of data and increasingly employing machine learning and deep learning algorithms to forecast sales, predict customer churn and fraud detection, etc., across industries and domains. Data science practitioners experiment with algorithms, data, and hyperparameters to develop a model that generates business insights.
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.
NYU Center for Data Science
NOVEMBER 30, 2022
Pascal Wallisch, CDS Clinical Associate Professor We are currently hiring Clinical Faculty for 2023. The position has the opportunity to make a significant impact by teaching data science courses at the undergraduate and graduate levels. We caught up with CDS Clinical Associate Professor Pascal Wallisch to discuss his experience as a clinical faculty member at CDS as well as what the role has to offer incoming hires.
Machine Learning Research at Apple
NOVEMBER 30, 2022
Multi-lingual language models (LM), such as mBERT, XLM-R, mT5, mBART, have been remarkably successful in enabling natural language tasks in low-resource languages through cross-lingual transfer from high-resource ones. In this work, we try to better understand how such models, specifically mT5, transfer any linguistic and semantic knowledge across languages, even though no explicit cross-lingual signals are provided during pre-training.
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Hey, are you working on a data science project, solving a problem statement related to data science, or experimenting with a statistical test to make further decisions and handling the most repeatedly cited statistical term, ‘correlation’? Willing to correctly interpret these statistical […].
Google Research AI blog
NOVEMBER 29, 2022
Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team In recent years, language models (LMs) have become more prominent in natural language processing (NLP) research and are also becoming increasingly impactful in practice. Scaling up LMs has been shown to improve performance across a range of NLP tasks. For instance, scaling up language models can improve perplexity across seven orders of magnitude of model sizes, and new abilities such as multi-step reasoning have be
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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.
Bugra Akyildiz
NOVEMBER 26, 2022
Articles Google published an Expert Choice Routing advancement in the Mixture of Experts modeling architecture for their large scale model. In this scheme, they set expert capacity k as the average tokens per expert in a batch of input sequences multiplied by a capacity factor , which determines the average number of experts that can be received by each token.
DeepMind
NOVEMBER 30, 2022
Game-playing artificial intelligence (AI) systems have advanced to a new frontier. Stratego, the classic board game that’s more complex than chess and Go, and craftier than poker, has now been mastered. Published in Science, we present DeepNash, an AI agent that learned the game from scratch to a human expert level by playing against itself.
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data and Information about a Customer are important for all businesses and companies. For a business to be data-driven, a Company needs to be highly data-driven and focus highly on customer analytics. Information about customers can be collected from many sources. It […].
Machine Learning Research at Apple
DECEMBER 2, 2022
This paper was accepted at the workshop "Learning from Time Series for Health" at NeurIPS 2022. Heart rate (HR) dynamics in response to workout intensity and duration measure key aspects of an individual’s fitness and cardiorespiratory health. Models of exercise physiology have been used to characterize cardiorespiratory fitness in well-controlled laboratory settings, but face additional challenges when applied to wearables in noisy, real-world settings.
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.
Julien Simon
NOVEMBER 28, 2022
In this video, I show you how to use Amazon SageMaker to train a Transformer model with AWS Trainium and compile it for AWS Inferentia. Starting from a BERT model and the Yelp review datatset, I first train a multi-class classification model on an ml.trn1.2xlarge instance. I also show you how to reuse the Neuron SDK model cache from one training job to the next, in order to save time and money on repeated jobs.
AssemblyAI
NOVEMBER 30, 2022
Stable Diffusion was released earlier this year, providing the world with powerful text-to-image capabilities. Since its release, many different projects have been spun out of it, making it easier than ever to generate images like the one below with just a few simple words. (Image from the Stable Diffusion Discord ) Stable Diffusion has been integrated into Keras , allowing users to generate novel images in as few as three lines of code.
Analytics Vidhya
NOVEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Source: DDI Introduction Autoencoders are an unsupervised model that takes unlabeled data and learns effective coding about the data structure that can be applied to another context. It approximates the function that maps the data from input space to lower dimensional coordinates and […].
Machine Learning Research at Apple
NOVEMBER 30, 2022
This paper was accepted at "Reinforcement Learning for Real Life" workshop at NeurIPS 2022. Advancements in reinforcement learning (RL) have inspired new directions in intelligent automation of network defense. However, many of these advancements have either outpaced their application to network security or have not considered the challenges associated with implementing them in the real-world.
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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.
Google Research AI blog
NOVEMBER 30, 2022
Posted by Alexander Zlokapa, Student Researcher, and Hartmut Neven, VP of Engineering, Quantum AI Team Wormholes — wrinkles in the fabric of spacetime that connect two disparate locations — may seem like the stuff of science fiction. But whether or not they exist in reality, studying these hypothetical objects could be the key to making concrete the tantalizing link between information and matter that has bedeviled physicists for decades.
AssemblyAI
DECEMBER 2, 2022
Today at AssemblyAI, we are excited to announce the release of several new Summarization AI models : The new models are: Informative which is best for files with a single speaker, like a presentation or lecture Conversational which is best for any multi-person conversation, like customer/agent phone calls or interview/interviewee calls Catchy which is best for creating video, podcast, or media titles Having been trained on data relevant to a specific use case, each model provides state-of-the-ar
Analytics Vidhya
NOVEMBER 28, 2022
This article was published as a part of the Data Science Blogathon. Introduction Web3 is being heralded as the internet’s future. This new blockchain-based web’s vision includes cryptocurrencies, NFTs, DAOs, decentralized finance, and other features. It provides a read/write/own version of the web to which users have a monetary stake in and greater control over […].
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