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

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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A random walk inside a heart

SAS Software

SAS programmers love to make special graphs for Valentine's Day. In fact, there is a long history of heart-shaped graphs and love-inspired programs written in SAS! Last year, I added to the collection by showing how a ball bounces on a heart-shaped billiards table. This year, I create a similar [.] The post A random walk inside a heart appeared first on SAS Blogs.

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How To Get Promoted In Product Management

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.

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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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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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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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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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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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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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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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OpenAIā€™s ChatGPT Passes Wharton MBA Exam

ODSC - Open Data Science

OpenAIā€™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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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? ā€“ we all are excited to know! But something that we donā€™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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Generative AI: The Next Consumer Platform

Flipboard

Weā€™ve entered the age of generative AI. The use cases are everywhereā€”from writing essays to creating comics to editing films ā€”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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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. Itā€™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.

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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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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 doesnā€™t seem to be the case any longer. In case you didnā€™t know, New York-based start-up DoNotPay created an AI-powered program to assist people in traffic court.

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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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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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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customerā€™s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the ā€œrulesā€ around which factors land you in the spam folder arenā€™t always easy to keep up with.

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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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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. ā€“ 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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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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These 20 AI stocks are expected by analysts to rise up to 85% over the next year

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There are always fads in the stock market, but now we are in the midst of what could turn out to be a revolutionary trend that will last much longer ā€¦

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Understanding User Needs and Satisfying Them

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.

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Learn Prompting 101: Prompt Engineering Course & Challenges

Towards AI

Last Updated on February 9, 2023 by Editorial Team Introduction The capabilities and accessibility of large language models (LLMs) are advancing rapidly, leading to widespread adoption and increasing human-AI interaction. Reuters reported research recently estimating that OpenAIā€™s ChatGPT already reached 100 million monthly users in January, just two months after its launch!

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ChatGPT to Become Available in Microsoft Tools According to CEO Satya Nadella

ODSC - Open Data Science

Can you imagine working on an Excel file and ChatGPT is on hand helping you lay out macros and formulas? Hours of mundane work could almost instantly be done thanks in part to the program. Well, this is a future that Microsoft CEO Satya Nadella is envisioning. A world where AI is helping you with emails, slideshows, spreadsheets, and more! While speaking at a panel with The Wall Street Journal, laid out his vision for AI moving forward with the tech giant.

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FACEIO App: New Age Face Authentication

Analytics Vidhya

Source: Freepik Introduction Authentication is a very crucial part of this technological world. Many tech stacks and framesets are created to avoid the unimaginable circumstances caused by their wrong use. They are continuously struggling to develop an effective and efficient application. But there is a problem with the developers: they pay less attention to developing […] The post FACEIO App: New Age Face Authentication appeared first on Analytics Vidhya.

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How to Grid Search Hyperparameters for PyTorch Models

Flipboard

The “weights” of a neural network is referred as “parameters” in PyTorch code and it is fine-tuned by optimizer during training. On the contrary, hyperparameters are the parameters of a neural network that is fixed by design and not tuned by training. Examples are the number of hidden layers and the choice of activation functions. […] The post How to Grid Search Hyperparameters for PyTorch Models appeared first on MachineLearningMastery.com.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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Numerical Computation: The fun guide to Underflow and Overflow

Mlearning.ai

Two elements of the wild world of numerical computing are waiting for you in this article! Have you ever had a calculation that was so… Continue reading on MLearning.

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8 Potential Technosignatures Found Beyond Our Solar System Thanks To Machine Learning

ODSC - Open Data Science

8 Potential Technosignatures Found Beyond Our Solar System Thanks to Machine Learning With the aid of machine learning, 8 potential technosignatures have been found around five nearby stars. Technosignatures for those who are familiar, are technologically-generated signals that could identify advanced extraterrestrial civilizations. The campaign to find these signals comes from Breakthrough Listen, a privately funded initiative, which may have spotted evidence of extraterrestrial civilizations.

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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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