February, 2023

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Use of ML in HealthCare: Predictive Analytics and Diagnosis

Analytics Vidhya

Introduction Do you know that the majority of medical errors are caused by misdiagnosis? Because many diseases have similar symptoms, which is difficult for doctors to give accurate results. The main reasons for misdiagnosis are a lack of experienced doctors, lack of time with patients, lack of resources, etc. What if some technology can overcome […] The post Use of ML in HealthCare: Predictive Analytics and Diagnosis appeared first on Analytics Vidhya.

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Here’s why your efforts to extract value from data are going nowhere

Cassie Kozyrkov

The industry-wide neglect of data design and data quality (and what you can do about it) Continue reading on Towards Data Science »

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‘I want to destroy whatever I want’: Bing’s AI chatbot unsettles US reporter

Flipboard

In the race to perfect the first major artificial intelligence-powered search engine, concerns over accuracy and the proliferation of misinformation have so far taken centre stage.

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Training a PyTorch Model with DataLoader and Dataset

Machine Learning Mastery

When you build and train a PyTorch deep learning model, you can provide the training data in several different ways. Ultimately, a PyTorch model works like a function that takes a PyTorch tensor and returns you another tensor. You have a lot of freedom in how to get the input tensors. Probably the easiest is […] The post Training a PyTorch Model with DataLoader and Dataset appeared first on MachineLearningMastery.com.

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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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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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Future of AI and Machine Learning in Cybersecurity

Analytics Vidhya

Introduction Artificial Intelligence (AI) and Machine Learning (ML) have rapidly become some of the most important technologies in the field of cybersecurity. With the increasing amount of data and sophisticated cyber threats, AI and ML are being used to strengthen the security of organizations and individuals. AI and ML are used to analyze large amounts of […] The post Future of AI and Machine Learning in Cybersecurity appeared first on Analytics Vidhya.

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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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ChatGPT and its implications for customer experience

Flipboard

OpenAI opened the ChatGPT beta in late November 2022, in a move that produced the most powerful natural language processing (NLP) AI model to date. It quickly went viral, attracting a million users in the first five days. Will models like ChatGPT completely replace chatbots?

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Using Activation Functions in Deep Learning Models

Machine Learning Mastery

A deep learning model in its simplest form are layers of perceptrons connected in tandem. Without any activation functions, they are just matrix multiplications with limited power, regardless how many of them. Activation is the magic why neural network can be an approximation to a wide variety of non-linear function. In PyTorch, there are many […] The post Using Activation Functions in Deep Learning Models 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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Planning for AGI and beyond

OpenAI

Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity.

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The Best kept Secret in Data Science is KNIME

Mlearning.ai

Discover KNIME, the best kept secret in data science. This powerful and versatile open source platform offers a visual interface and wide… Continue reading on MLearning.

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Azure Databricks: A Comprehensive Guide

Analytics Vidhya

Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud. A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. In this blog post, we will take a closer look at Azure Databricks, its key features, […] The post Azure Databricks: A Comprehensive Guide appeared first on Analytics Vidhya.

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A vision-language approach for foundational UI understanding

Google Research AI blog

Posted by Yang Li, Research Scientist, and Gang Li, Software Engineer, Google Research The computational understanding of user interfaces (UI) is a key step towards achieving intelligent UI behaviors. Previously, we investigated various UI modeling tasks, including widget captioning , screen summarization , and command grounding , that address diverse interaction scenarios such as automation and accessibility.

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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. 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.

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Tesla patents virtualization and machine learning software to improve FSD

Flipboard

Tesla has applied for a set of patents that are set to significantly improve virtualization, recognition, and Full Self Driving overall. Tesla has worked tirelessly to improve full self-driving technology in the first two months of the year. Most recently, Tesla pushed its most significant improvement to employees, v11.3. Still, with new patented technology, the software is set to continue to improve dramatically this year.

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Using Learning Rate Schedule in PyTorch Training

Machine Learning Mastery

Training a neural network or large deep learning model is a difficult optimization task. The classical algorithm to train neural networks is called stochastic gradient descent. It has been well established that you can achieve increased performance and faster training on some problems by using a learning rate that changes during training. In this post, […] The post Using Learning Rate Schedule in PyTorch Training appeared first on MachineLearningMastery.com.

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What is the metalog distribution?

SAS Software

The metalog family of distributions (Keelin, Decision Analysis, 2016) is a flexible family that can model a wide range of continuous univariate data distributions when the data-generating mechanism is unknown. This article provides an overview of the metalog distributions. A subsequent article shows how to download and use a library [.] The post What is the metalog distribution?

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Announcing Ray support on Databricks and Apache Spark Clusters

databricks

Ray is a prominent compute framework for running scalable AI and Python workloads, offering a variety of distributed machine learning tools, large-scale hyperparameter.

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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 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.

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Learning the Basics of Deep learning, ChatGPT, and Bard AI

Analytics Vidhya

Introduction Artificial Intelligence is the ability of a computer to work or think like humans. So many Artificial Intelligence applications have been developed and are available for public use, and chatGPT is a recent one by Open AI. ChatGPT is an artificial intelligence model that uses the deep model to produce human-like text. It predicts […] The post Learning the Basics of Deep learning, ChatGPT, and Bard AI 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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We have ChatGPT. Here’s what it will take to get to ‘InvestmentGPT’

Flipboard

From a Google killer to the heralding in of a humanity controlled by AI, the new ChatGPT application has been making waves — and even scaring people, too — since it was introduced late last year.

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Using Dropout Regularization in PyTorch Models

Machine Learning Mastery

Dropout is a simple and powerful regularization technique for neural networks and deep learning models. In this post, you will discover the Dropout regularization technique and how to apply it to your models in PyTorch models. After reading this post, you will know: How the Dropout regularization technique works How to use Dropout on your […] The post Using Dropout Regularization in PyTorch Models appeared first on MachineLearningMastery.com.

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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Compute hypergeometric functions in SAS

SAS Software

In applied mathematics, there is a large collection of "special functions." These function appera in certain applications, often as the solution to a differential equation, but also in the definition of probability distributions. For example, I have written about Bessel functions, the complete and incomplete gamma function, and the complete [.] The post Compute hypergeometric functions in SAS appeared first on SAS Blogs.

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Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning

PyImageSearch

Table of Contents Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? ? What Is JAX? autograd XLA ? What Is JAX (revisited)? ⬇️ Import JAX ? Understanding the Components: API Layering of JAX ?

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How to Build a Chatbot using Natural Language Processing?

Analytics Vidhya

Introduction Chatbots are becoming increasingly popular as businesses seek to automate customer service and streamline interactions. Building a chatbot can be a fun and educational project to help you gain practical skills in NLP and programming. This beginner’s guide will go over the steps to build a simple chatbot using NLP techniques. In this guide, […] The post How to Build a Chatbot using Natural Language Processing?

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Datasets at your fingertips in Google Search

Google Research AI blog

Posted by Natasha Noy, Research Scientist, and Omar Benjelloun, Software Engineer, Google Research Access to datasets is critical to many of today's endeavors across verticals and industries, whether scientific research, business analysis, or public policy. In the scientific community and throughout various levels of the public sector, reproducibility and transparency are essential for progress, so sharing data is vital.

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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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AI-Created Images Aren’t Protected By Copyright Law According To U.S. Copyright Office

Flipboard

The U.S. Copyright Office has ruled that illustrations in a new comic book that were created with the AI program Midjourney are not protected by copyright law, according to a letter issued by the Copyright Office.

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Top NLP Skills, Frameworks, Platforms, and Languages for 2023

ODSC - Open Data Science

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. We looked at over 25,000 job descriptions for jobs related to NLP, and here are the most important skills, frameworks, programming languages, and cloud services

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DATA Step or PROC? It depends.

SAS Software

Which SAS technique should you use? Consider how often the program is to be run, your comfort level and more. The post DATA Step or PROC? It depends. appeared first on SAS Blogs.

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