March, 2023

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Choosing the Right Python Environment Tool for Your Next Project

Analytics Vidhya

Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python. And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Given the length and breadth of third-party applications, your global environment […] The post Choosing the Right Python Environment Tool for Your Next Project appeared first on

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Conformer-1: A robust speech recognition model trained on 650K hours of data

AssemblyAI

To do this, we introduce a number of modifications to the original Conformer architecture. For example, our Conformer-1 is built on top of the Efficient Conformer [ 3 ], a modification of the original Conformer architecture that introduces the following technical modifications: Progressive Downsampling – A progressive reduction scheme for the length of the encoded sequence, inspired by ContextNet [ 4 ].

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The best advice I never got (for a technical career)

Cassie Kozyrkov

Motivation and career insights I wish I hadn’t had to work out for myself Continue reading on Medium »

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Cryptocurrencies add nothing useful to society, says chip-maker Nvidia

Flipboard

The US chip-maker Nvidia has said cryptocurrencies do not “bring anything useful for society” despite the company’s powerful processors selling in huge quantities to the sector.

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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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LSTM for Time Series Prediction in PyTorch

Machine Learning Mastery

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.

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Applications of Machine Learning and AI in Banking and Finance in 2023

Analytics Vidhya

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question. The keys to business success are sophisticated, intelligent security systems […] The post Applications of Machine Learning and AI in Banking and Finance in 2023 appeared first on Analyt

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Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages

Google Research AI blog

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

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Designing great AI products?—?Personality and emotion

Becoming Human

Designing great AI products — Personality and emotion The following post is an excerpt from my book ‘Designing Human-Centric AI Experiences’ on applied UX design for Artificial intelligence. — Photo by Jason Leung on Unsplash We tend to anthropomorphize AI systems, i.e., we impute them with human-like qualities. Consumer demand for personality in AI dates back many decades in Hollywood and the video game industry ¹.

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OpenAI’s GPT-4 violates FTC rules, argues AI policy group

Flipboard

The Federal Trade Commission (FTC) received a new complaint today from the Center for AI and Digital Policy (CAIDP), which calls for an investigation of OpenAI and its product GPT-4.

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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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Visualizing a PyTorch Model

Machine Learning Mastery

PyTorch is a deep learning library. You can build very sophisticated deep learning models with PyTorch. However, there are times you want to have a graphical representation of your model architecture. In this post, you will learn: How to save your PyTorch model in an exchange format How to use Netron to create a graphical […] The post Visualizing a PyTorch Model appeared first on MachineLearningMastery.com.

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How Newton calculated pi to 16 decimal places

SAS Software

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.

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Top 10 AI Email Automation Tools to Use in 2023

Analytics Vidhya

Email automation is a game-changer for businesses, but with AI, it’s becoming even more powerful! AI-powered email automation tools use ML algorithms to analyze data and optimize campaigns, delivering personalized content to each recipient. These tools can also help businesses save time and resources by automating repetitive tasks and providing insights into customer behavior.

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Detecting novel systemic biomarkers in external eye photos

Google Research AI blog

Posted by Boris Babenko, Software Engineer, and Akib Uddin, Product Manager, Google Research Last year we presented results demonstrating that a deep learning system (DLS) can be trained to analyze external eye photos and predict a person’s diabetic retinal disease status and elevated glycated hemoglobin (or HbA1c, a biomarker that indicates the three-month average level of blood glucose).

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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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The Ethics of AI: How Can We Ensure its Responsible Use?

Becoming Human

As artificial intelligence (AI) continues to advance and become more pervasive in our daily lives, it is crucial that we consider the ethical implications of its use. AI has the potential to transform industries, improve our quality of life, and solve some of the world’s most pressing problems. However, we must ensure that AI is developed and used responsibly to avoid unintended consequences that could harm individuals or society as a whole.

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GPT-4 kicks AI security risks into higher gear

Flipboard

As Arthur C. Clarke once put it, any sufficiently advanced technology is “indistinguishable from magic.” Some might say this is true of ChatGPT, too — including, if you will, black magic.

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GPT-4

OpenAI

We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while worse than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.

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Accelerating Delivery with CI/CD – Navigating the Journey

SAS Software

SAS' Mary Carter details challenges and benefits of accelerating the delivery of SAS software. The post Accelerating Delivery with CI/CD – Navigating the Journey appeared first on SAS Blogs.

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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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Pytorch Tensors and its Operations

Analytics Vidhya

Introduction The advancement of interest in Deep Learning in recent years and the explosion of Machine Learning tools like TensorFlow, PyTorch, etc., will also be cited, which will provide ease of use and easy debugging of codes. Many popular frameworks such as MxNet, Tensorflow, Jax, PaddlePaddle, Caffe 2, Mindspore, and Theano will gain popularity because […] The post Pytorch Tensors and its Operations appeared first on Analytics Vidhya.

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Handwritten Digit Recognition with LeNet5 Model in PyTorch

Machine Learning Mastery

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.

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Distributed differential privacy for federated learning

Google Research AI blog

Posted by Florian Hartmann, Software Engineer, and Peter Kairouz, Research Scientist, Google Research Federated learning is a distributed way of training machine learning (ML) models where data is locally processed and only focused model updates and metrics that are intended for immediate aggregation are shared with a server that orchestrates training.

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Hacker demonstrates security flaws in GPT-4 just one day after launch

Flipboard

OpenAI’s powerful new language model, GPT-4, was barely out of the gates when a student uncovered vulnerabilities that could be exploited for malicious ends. The discovery is a stark reminder of the security risks that accompany increasingly capable AI systems.

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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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Real-time fraud detection using AWS serverless and machine learning services

AWS Machine Learning Blog

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.

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The variance of the sums of variables

SAS Software

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.

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Creating Interactive and Animated Charts with ipyvizzu

Analytics Vidhya

Introduction Data visualization (DV) plays a crucial role in analyzing and interpreting data. It helps to identify patterns, trends, and relationships in large and complex datasets, making it easier to communicate insights and findings to a broader audience. With the growing importance of data science and machine learning, data analysis holds a special place in […] The post Creating Interactive and Animated Charts with ipyvizzu appeared first on Analytics Vidhya.

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Training and Making Predictions with Siamese Networks and Triplet Loss

PyImageSearch

Table of Contents Training and Making Predictions with Siamese Networks and Triplet Loss Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Training Our Siamese Network Model with Triplet Loss Making Predictions with Our Siamese Network Based Face Recognition Model Summary Citation Information Training and Making Predictions with Siamese Networks and Triplet Loss In this tutorial, we will learn to train our Siamese network based f

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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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State of Machine Learning Survey Results Part One

ODSC - Open Data Science

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.

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Denied by AI: How Medicare Advantage plans use algorithms to cut off care for seniors in need

Flipboard

An algorithm, not a doctor, predicted a rapid recovery for Frances Walter, an 85-year-old Wisconsin woman with a shattered left shoulder and an allergy to pain medicine. In 16.6 days, it estimated, she would be ready to leave her nursing home. On the 17th day, her Medicare Advantage insurer, Security Health Plan, followed the algorithm and cut off payment for her care, concluding she was ready to return to the apartment where she lived alone.

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AI-Based Voice Assistance Capabilities

Becoming Human

Think of software as a self-sustaining unit capable of connecting seamlessly with the human mind, and your first thought is the virtual assistant. Voice command devices are the most prevailing breakthrough in Artificial Intelligence. This technology relies on location awareness and user input. To provide meaningful insights in response to queries, virtual assistants often depend on digital data pertaining to traffic congestion, user schedules, retail prices, stock prices, weather conditions, and