AssemblyAI

MARCH 7, 2023

Language models (LMs) are a class of probabilistic models that learn patterns in natural language. LMs can be utilized for generative purposes to generate, say, the next event in a story by exploiting their knowledge of these patterns. In recent years, significant efforts have been put into scaling LMs into Large Language Models (LLMs). The scaling process - training bigger models on more data with greater compute - leads to steady and predictable improvements in their ability to learn these pat

Large Language Models 363

Large Language Models OpenAI Neural Network AI 363

Analytics Vidhya

MARCH 5, 2023

Introduction NumPy is an open-source library in python and a must-learn if you want to enter the data science ecosystem. It is the library underpinning other important libraries such as Pandas, matplotlib, Scipy, scikit-learn, etc. One of the reasons this library is so foundational is because of its array of programming capabilities. Array programming, or […] The post Advanced NumPy: Broadcasting and Strides appeared first on Analytics Vidhya.

Python 335

Python Data Science Neural Network 335

Flipboard

MARCH 5, 2023

Neural networks are built with layers connected to each other. There are many different kind of layers. For image related applications, you can always find convolutional layers. It is a layer with very few parameters but applied over a large sized input. It is powerful because it can preserve the spatial structure of the image. […] The post Building a Convolutional Neural Network in PyTorch appeared first on MachineLearningMastery.com.

Convolutional Neural Networks 181

Convolutional Neural Networks Neural Network Deep Learning 181

Machine Learning Mastery

MARCH 9, 2023

Long Short-Term Memory (LSTM) is a structure that can be used in neural network. It is a type of recurrent neural network (RNN) that expects the input in the form of a sequence of features. It is useful for data such as time series or string of text. In this post, you will learn about […] The post LSTM for Time Series Prediction in PyTorch appeared first on MachineLearningMastery.com.

Neural Network 144

Neural Network Deep Learning 144

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

Google Research AI blog

MARCH 6, 2023

Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative , an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe. However, some of these languages are spoken by fewer than twenty million people, so a core challenge is how to support languages for which there are rel

Software Engineer 140

Software Engineer Algorithm AI AI 140

Flipboard

MARCH 7, 2023

An autonomous Polaris vehicle equipped with sensors and computers developed by researchers at the University of Washington. (Photo courtesy of the University of Washington RACER team) A University of Washington professor and expert in machine learning and robotics is leading a new company focused on off-road autonomous vehicle technology. Byron Boots is the CEO and co-founder of Overland AI , a Seattle startup aiming to help companies that use ground vehicles in complex terrain address safety an

Robotics 181

Robotics Machine Learning Automation AI 181

SAS Software

MARCH 8, 2023

Happy Pi Day! Every year on March 14th (written 3/14 in the US), people in the mathematical sciences celebrate "all things pi-related" because 3.14 is the three-decimal approximation to π ≈ 3.14159265358979. Modern computer methods and algorithms enable us to calculate 100 trillion digits of π However, I think it [.] The post How Newton calculated pi to 16 decimal places appeared first on SAS Blogs.

Algorithm 130

Algorithm 130

Google Research AI blog

MARCH 10, 2023

Posted by Danny Driess, Student Researcher, and Pete Florence, Research Scientist, Robotics at Google Recent years have seen tremendous advances across machine learning domains, from models that can explain jokes or answer visual questions in a variety of languages to those that can produce images based on text descriptions. Such innovations have been possible due to the increase in availability of large scale datasets along with novel advances that enable the training of models on these data.

Robotics 124

Robotics Auto-complete Large Language Models Neural Network 124

Analytics Vidhya

MARCH 5, 2023

Introduction S3 is Amazon Web Services cloud-based object storage service (AWS). It stores and retrieves large amounts of data, including photos, movies, documents, and other files, in a durable, accessible, and scalable manner. S3 provides a simple web interface for uploading and downloading data and a powerful set of APIs for developers to integrate S3.

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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?

Business Intelligence

Flipboard

MARCH 8, 2023

Sponsored Post Groundbreaking large language model research from OpenAI, Google, Amazon, and others have transformed expectations of machine-generated software.

Large Language Models 181

Large Language Models OpenAI AI AI 181

SAS Software

MARCH 6, 2023

Undergraduate textbooks on probability and statistics typically prove theorems that show how the variance of a sum of random variables is related to the variance of the original variables and the covariance between them. For example, the Wikipedia article on Variance contains an equation for the sum of two random [.] The post The variance of the sums of variables appeared first on SAS Blogs.

Data Analysis 124

Data Analysis 124

AWS Machine Learning Blog

MARCH 10, 2023

Online fraud has a widespread impact on businesses and requires an effective end-to-end strategy to detect and prevent new account fraud and account takeovers, and stop suspicious payment transactions. Detecting fraud closer to the time of fraud occurrence is key to the success of a fraud detection and prevention system. The system should be able to detect fraud as effectively as possible also alert the end-user as quickly as possible.

Machine Learning 129

Machine Learning Metadata 129

Analytics Vidhya

MARCH 7, 2023

Introduction Apache Cassandra is a NoSQL database management system that is open-source and distributed. It is meant to handle massive volumes of data across many commodity servers while maintaining high availability with no single point of failure. Facebook created Cassandra, which ultimately became an Apache Software Foundation project. It is well-known for its rapid write […] The post Top 6 Cassandra Interview Questions appeared first on Analytics Vidhya.

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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

AI

Flipboard

MARCH 5, 2023

Every year I peruse emerging statistics and trends in cybersecurity and provide some perspective and analysis on the potential implications for industry and government from the data.

Machine Learning 170

Machine Learning 170

ODSC - Open Data Science

MARCH 6, 2023

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. In a series of articles, we’d like to share the results so you too can learn more about what the data science community is doing in machine learning. In the first blog, we’re going to discuss the technical side of things, such as what languages and platforms people are using.

Machine Learning 116

Machine Learning Deep Learning Data Science Big Data 116

AWS Machine Learning Blog

MARCH 8, 2023

Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. Sagemaker provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don’t have to manage servers.

ML 129

ML Python Machine Learning Neural Network 129

Analytics Vidhya

MARCH 5, 2023

Introduction A web page is a document or information resource that is accessible through the World Wide Web. It is typically made up of HTML (Hypertext Markup Language), which provides the structure and content of the page, and CSS (Cascading Style Sheets), which provides the styling information for how the page should be presented to […] The post How to Classify Web Pages Using Machine Learning?

Machine Learning 317

Machine Learning Data Analysis Algorithm Data Science 317

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.

Business Intelligence

Flipboard

MARCH 9, 2023

The chief scientific officer at a telehealth company innovating with generative AI shares his expertise on this new technology that has captured the …

Generative AI 175

Generative AI AI AI Machine Learning 175

Machine Learning Mastery

MARCH 7, 2023

A popular demonstration of the capability of deep learning techniques is object recognition in image data. The “hello world” of object recognition for machine learning and deep learning is the MNIST dataset for handwritten digit recognition. In this post, you will discover how to develop a deep learning model to achieve near state-of-the-art performance on […] The post Handwritten Digit Recognition with LeNet5 Model in PyTorch appeared first on MachineLearningMastery.com.

Deep Learning 114

Deep Learning Machine Learning 114

SAS Software

MARCH 6, 2023

Editor's note: This article follows Curious about ChatGPT: Exploring the origins of generative AI and natural language processing. As ChatGPT has entered the scene, many fear and uncertainty have been expressed by those working in education at all levels. Educators worry about cheating and rightly so. ChatGPT can do everything [.] The post Curious about ChatGPT: Exploring the use of AI in Education appeared first on SAS Blogs.

Natural Language Processing 111

Natural Language Processing ChatGPT Generative AI AI 111

Analytics Vidhya

MARCH 5, 2023

Introduction In this project, we will be focusing on data from India. And our goal is to create a predictive model, such as Logistic Regression, etc. so that when we give the characteristics of a candidate, the model can predict whether they will recruit. The dataset revolves around the placement season of a Business School in India. The dataset has various factors on candidates, such as work experience, exam percentage, etc.

Data Analysis 315

Data Analysis Data Science Python Machine Learning 315

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Flipboard

MARCH 6, 2023

The third iteration of the Exploit Prediction Scoring System (EPSS) performs 82% better than previous versions, giving companies a better tool for evaluating vulnerabilities and prioritizing patching.

Machine Learning 164

Machine Learning 164

ODSC - Open Data Science

MARCH 9, 2023

Introducing ChatLLaMA: An Open-Source ChatGPT-Like Training Process Using RLHF for More Efficient AI Assistant Development In a LinkedIn post , Martina Fumanelli of Nebuly introduced CHATLLaMA to the world. ChatLLaMA is the first open-source ChatGPT-like training process based on LLaMA and using reinforcement learning from human feedback (RLHF). This allows for building ChatGPT-style services based on pre-trained LLaMA models.

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ChatGPT Data Science AI Modeling AI Development 105

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Every modern enterprise has a unique set of business data collected as part of their sales, operations, and management processes.

Machine Learning 105

Machine Learning Data Drift Data Scientist ML 105

Analytics Vidhya

MARCH 5, 2023

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data. HDInsight works seamlessly with the Hadoop ecosystem, which includes technologies like MapReduce, Hive, […] The post Top 6 Microsoft HDFS Interview Questions appeared first on Analytics V

Big Data 310

Big Data 310

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.

Generative AI

Flipboard

MARCH 6, 2023

Artificial intelligence technology is changing how marketers reach and engage customers. From programmatic advertising to data analysis, AI can help marketers do a better job, but this rapidly evolving field also raises concerns and uncertainties.

Artificial Intelligence 164

Artificial Intelligence Artificial Intelligence Data Analysis AI 164

SAS Software

MARCH 7, 2023

Analytics can get you answers from data. However, before you get the answers, you need to know where to find the data and if the data fits your purpose. Traditional metadata solutions focus on understanding how data and processes in a deployment relate to each other and how process changes [.

Metadata 104

Metadata Data Quality 104

ODSC - Open Data Science

MARCH 9, 2023

Editor’s note: Aric LaBarr, PhD is a speaker for ODSC East 2023 this May 9th-11th! Be sure to check out his full-day training session, “ Advanced Fraud Modeling & Anomaly Detection with Python & R ,” there! When it comes to model building, there are some general approaches that apply to pretty much every field. For example, splitting data into two (or even three) pieces to validate your model results is useful.

Data Science 98

Data Science Software Engineer Python Data Scientist 98