Sat.Feb 04, 2023 - Fri.Feb 10, 2023

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Deep Residual Learning for Image Recognition (ResNet Explained)

Analytics Vidhya

Introduction Deep learning has revolutionized computer vision and paved the way for numerous breakthroughs in the last few years. One of the key breakthroughs in deep learning is the ResNet architecture, introduced in 2015 by Microsoft Research. In this article, we will discuss the ResNet architecture and its significance in the field of computer vision. […] The post Deep Residual Learning for Image Recognition (ResNet Explained) appeared first on Analytics Vidhya.

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A step-by-step guide to setting up a data governance program

IBM Journey to AI blog

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Data governance is a crucial aspect of managing an organization’s data assets. The primary goal of any data governance program is to deliver against prioritized business objectives and unlock the value of your data across your org

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Five Predictions for the Future of Learning in the Age of AI 

Flipboard

When OpenAI released its chatbot ChatGPT last year, proponents were quick to announce the death of various writing-related fields, such as screenwriting, computer programming, and music composition. One particular field stood out as a sector that would feel the power … The post Five Predictions for the Future of Learning in the Age of AI appeared first on Andreessen Horowitz.

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Training a Custom Image Classification Network for OAK-D

PyImageSearch

Table of Contents Training a Custom Image Classification Network for OAK-D Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure The Vegetable Image Dataset Data Analysis Configuring the Prerequisites Defining the Utilities The Image Classification Network Training Accuracy and Loss Plots: Training vs.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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End-to-End MLOps Architecture and Workflow

Analytics Vidhya

Introduction All the machine learning projects developed for the industrial business problem aim to develop and deploy them into production quickly. Thus, developing an automated ML pipeline becomes a challenge, which is why most ML projects fail to deliver on their expectations. However, the problem of automated ML pipelines can be addressed by bringing the […] The post End-to-End MLOps Architecture and Workflow appeared first on Analytics Vidhya.

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Use PyTorch Deep Learning Models with scikit-learn

Flipboard

The most popular deep learning libraries in Python for research and development are TensorFlow/Keras and PyTorch, due to their simplicity. The scikit-learn library, however, is the most popular library for general machine learning in Python. In this post, you will discover how to use deep learning models from PyTorch with the scikit-learn library in Python. […] The post Use PyTorch Deep Learning Models with scikit-learn appeared first on MachineLearningMastery.com.

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Google Research, 2022 & beyond: Algorithms for efficient deep learning

Google Research AI blog

Posted by Sanjiv Kumar, VP and Google Fellow, Google Research (This is Part 4 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute.

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Web3: Breaking the Chains of Centralized Content Distribution

Analytics Vidhya

Introduction Web3 has the potential to revolutionize the way content is created, distributed, and monetized. Using decentralized blockchain technology, Web3 enables secure, censorship-resistant distribution of content and fairer revenue distribution for creators. The emergence of Web3 content platforms is changing the landscape, but adoption faces challenges such as user adoption and technology limitations.

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How to use Git to share SAS programs

SAS Software

This article is about how to use Git to share SAS programs, specifically how to share libraries of SAS IML functions. Some IML programmers might remember an earlier way to share libraries of functions: SAS/IML released "packages" in SAS 9.4m3 (2015), which enable you to create, document, share, and use [.] The post How to use Git to share SAS programs appeared first on SAS Blogs.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Generative AI: The Next Consumer Platform

Flipboard

We’ve entered the age of generative AI. The use cases are everywhere—from writing essays to creating comics to editing films —and adoption has outpaced every consumer tech trend of the past decade. Text generator ChatGPT surpassed 1 million users in … The post Generative AI: The Next Consumer Platform appeared first on Andreessen Horowitz.

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Unsupervised and semi-supervised anomaly detection with data-centric ML

Google Research AI blog

Posted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team Anomaly detection (AD), the task of distinguishing anomalies from normal data, plays a vital role in many real-world applications, such as detecting faulty products from vision sensors in manufacturing , fraudulent behaviors in financial transactions , or network security threats.

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Types of Cloud Computing Platforms

Analytics Vidhya

Introduction Explore the exciting world of cloud computing! This blog post will overview the different cloud platform types, their benefits, and their uses. Everyone, from beginners to experts, will be able to gain insight into the types of cloud computing platforms that best fits their needs. Gather the information you need to make the best […] The post Types of Cloud Computing Platforms appeared first on Analytics Vidhya.

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OpenAI’s ChatGPT Passes Wharton MBA Exam

ODSC - Open Data Science

OpenAI’s ChatGPT has been the talk of the internet since its debut in the public imagination in late November of last year. Since then, the possible ramifications of AI as a disruptor in higher education have caused a stir among educators, with reports of companies already attempting to uncover AI-written essays and other assignments. But it seems that AI has taken another step forward.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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How Duolingo’s AI Learns What You Need to Learn

Flipboard

It’s lunchtime when your phone pings you with a green owl who cheerily reminds you to “Keep Duo Happy!” It’s a nudge from Duolingo , the popular language-learning app, whose algorithms know you’re most likely to do your 5 minutes of Spanish practice at this time of day. The app chooses its notification words based on what has worked for you in the past and the specifics of your recent achievements, adding a dash of attention-catching novelty.

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Google Research, 2022 & beyond: Algorithmic advances

Google Research AI blog

Posted by Vahab Mirrokni, VP and Google Fellow, Google Research (This is Part 5 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Hence, developing algorithms with improved efficiency, performance and speed remains a high priority as it empowers services ranging from Search and Ads to Maps and YouTube.

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Scratch Detection Using Mask RCNN & Yolov5

Analytics Vidhya

Introduction This project focuses on Car Scratch Detection, in sync with the development of autonomous quality inspection systems for different types of products. For example, in a parking lot, such detection provides the client with the assurance that their car will be safe and sound; also, if something happens, the detection system will be useful […] The post Scratch Detection Using Mask RCNN & Yolov5 appeared first on Analytics Vidhya.

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The ChatGPT list of lists: A collection of 1500+ useful, mind-blowing and strange use-cases…

Mlearning.ai

The ChatGPT list of lists: A collection of 1500+ useful, mind-blowing and strange use-cases, prompts, extensions, fails and other resources. Image credit: Author, Midjourney. Oh, ChatGPT! Some 2 months on the market and a not so tiny ecosystem has developed all on its own, with lists of prompts, tips, APIs, use cases, extensions, success stories and failures.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Building a Regression Model in PyTorch

Flipboard

PyTorch library is for deep learning. Some applications of deep learning models are to solve regression or classification problems. In this post, you will discover how to use PyTorch to develop and evaluate neural network models for regression problems. After completing this post, you will know: How to load data from scikit-learn and adapt it […] The post Building a Regression Model in PyTorch appeared first on MachineLearningMastery.com.

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The most popular sports supplements: are they helpful?

SAS Software

Advertisements for sports supplements are everywhere! They usually include a sweaty, muscled, barely dressed model drinking something called Ripped Force, Jacked, Ultimate Shred or some other ridiculous name. The sports nutrition industry is a $40 billion plus industry. There is a lot of money behind that marketing. But do these [.] The post The most popular sports supplements: are they helpful?

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Different Ways to Make 5G Services Better Using AI

Analytics Vidhya

Introduction When 3G got launched in India and worldwide, we were happy that at least YouTube videos would play decently. When 4G was released, video calls & web meetings became a reality. What does 5G hold next for us? – we all are excited to know! But something that we don’t realize easily is that – […] The post Different Ways to Make 5G Services Better Using AI appeared first on Analytics Vidhya.

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Courts Revolt Against Artificial Intelligence in Law

ODSC - Open Data Science

In less than a month, the first AI-powered legal defense was to take place in California, possibly creating a new precedent in law and yet another advancement for artificial intelligence in law. But, that doesn’t seem to be the case any longer. In case you didn’t know, New York-based start-up DoNotPay created an AI-powered program to assist people in traffic court.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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The profound danger of conversational AI

Flipboard

When researchers contemplate the risks that AI poses to human civilization, we often reference the “control problem.” This refers to the possibility that an artificial super-intelligence could emerge that is so much smarter than humans that we quickly lose control over it.

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Innovative contributions to NeurIPS 2022

SAS Software

NeurIPS 2022 allowed researchers and practitioners to share progress and brainstorm new ideas for advancing machine learning and its related fields. The post Innovative contributions to NeurIPS 2022 appeared first on SAS Blogs.

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Top Rarely Used Pandas Function In 2023 One Should Know

Analytics Vidhya

Introduction When it comes to data preparation using Python, the term which comes to our mind is Pandas. No, not the one whom you see happily munching away on bamboo and lazily somersaulting. Well, a library for prepping up the data for further analysis. Be it finding out which columns need to be removed or which […] The post Top Rarely Used Pandas Function In 2023 One Should Know appeared first on Analytics Vidhya.

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Things Data Scientists Should Know About Productionizing Machine Learning

ODSC - Open Data Science

It is often too much to ask for the data scientist to become a domain expert. However, in all cases the data scientist must develop strong domain empathy to help define and solve the right problems. – Nina Zumel and John Mount, Practical Data Science with R, 2nd Ed. (2020) When I wrote that statement a few years ago, I meant it mostly in the context of business concerns: a data scientist should have empathy for the needs and concerns of the people downstream who will consume the results of the m

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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Microsoft reveals new search engine and browser with AI ‘copilot,’ escalating battle with Google

Flipboard

Microsoft executive Yusuf Mehdi unveils the new AI-powered Bing and Edge experiences. (GeekWire Photo / Todd Bishop) REDMOND, WASH. — Microsoft unveiled new versions of its Bing search engine and Edge web browser that take advantage of next-generation OpenAI artificial intelligence models in a move that promises to increase competition with longtime rival Google. “It’s a new day for search,” Microsoft CEO Satya Nadella said at an event Tuesday hosted at the company’s head

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Amplification at the Quantum limit

Google Research AI blog

Posted by Ted White and Ofer Naaman, Staff Research Scientists, Google Quantum AI The Google Quantum AI team is building quantum computers with superconducting microwave circuits, but much like a classical computer the superconducting processor at the heart of these computers is only part of the story. An entire technology stack of peripheral hardware is required to make the quantum computer work properly.

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Most Essential 2023 Interview Questions on Data Engineering

Analytics Vidhya

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications. This includes designing and implementing […] The post Most Essential 2023 Interview Questions on Data Engineering appeared first on Analytics Vidhya.

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