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

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Revolutionizing Social Media Strategy with Automation Using Python

Analytics Vidhya

Introduction Social media has drastically changed communication and information consumption in our personal and professional lives. Usage of different social media platforms enables news consumption, new hobby discovery, and interpersonal contact on a personal level. Moreover, it provides companies and influencers with a professional platform to communicate with and engage with their target markets.

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Building a Convolutional Neural Network in PyTorch

Flipboard

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.

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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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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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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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Data Science Blogathon 30th Edition- Women in Data Science

Analytics Vidhya

The Biggest Data Science Blogathon is now live! “Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. This 30th edition of the Data Science Blogathon is particularly very important because we are celebrating the women in […] The post Data Science Blogathon 30th Edition- Women in Data Science appeared first on Analytics Vidhya.

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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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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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Advanced NumPy: Broadcasting and Strides

Analytics Vidhya

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.

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Cybersecurity Trends & Statistics For 2023: More Treachery And Risk Ahead As Attack Surface And Hacker Capabilities Grow

Flipboard

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.

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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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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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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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Campus Recruitment: A Classification Problem with Logistic Regression

Analytics Vidhya

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.

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Why Artificial Intelligence is Revolutionizing Marketing | Entrepreneur

Flipboard

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.

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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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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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Curious about ChatGPT: Exploring the use of AI in Education

SAS Software

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.

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How can a Statistician Become a Data Scientist?

Analytics Vidhya

Introduction Statistics can be traced back to the mid-18th century, while Data Science is a relatively new concept. The term Data science was created in the 1960s and is deeply rooted in statistics but now has evolved into artificial intelligence, machine learning, etc. Data science has seen drastic growth due to the exponential development of […] The post How can a Statistician Become a Data Scientist?

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Schools Are Using Voice Technology to Teach Reading. Is It Helping?

Flipboard

A first grade student is trying to read a passage on her iPad. A digital avatar Amira, clad in olive green, is listening. Her face isn’t particularly demonstrative, but she’s trying her best with emphatic pats-on-the-back when the student gets something right. When the reader skips a word, or mispronounces it, Amira displays the kind of dispassionate instruction that only artificially created avatars can.

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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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Use Snowflake as a data source to train ML models with Amazon SageMaker

AWS Machine Learning Blog

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.

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Introducing ChatLLaMA: An Open-Source ChatGPT-Like Training Process Using RLHF for More Efficient…

ODSC - Open Data Science

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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Top 6 Amazon S3 Interview Questions

Analytics Vidhya

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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Machine Learning Improves Prediction of Exploited Vulnerabilities

Flipboard

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.

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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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DataRobot and SAP Partner to Deliver Custom AI Solutions for the Enterprise

DataRobot Blog

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.

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Metadata: 5 reasons why you should understand its analytical value

SAS Software

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 [.

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How to Classify Web Pages Using Machine Learning?

Analytics Vidhya

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?

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Prepare for the Textpocalypse

Flipboard

What if, in the end, we are done in not by intercontinental ballistic missiles or climate change, not by microscopic pathogens or a mountain-size meteor, but by … text?

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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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Opposites Don’t Always Attract: Building Both a Fraud & Not-Fraud Model

ODSC - Open Data Science

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.

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Craving Pi? Enjoy a healthier slice

SAS Software

Pi Day is upon us! Every year on March 14, math-lovers unite to celebrate all things pi because the date (written 3/14 in the US) matches the first three digits of pi, 3.14. If you’re trying to dust off the cobwebs from grade school geometry, pi (π) is a mathematical [.] The post Craving Pi? Enjoy a healthier slice appeared first on SAS Blogs.

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Solving Spotify Multiclass Genre Classification Problem

Analytics Vidhya

Introduction The music industry has become more popular, and how people listen to music is changing like wildfire. The development of music streaming services has increased the demand for automatic music categorization and recommendation systems. Spotify, one of the world’s leading music streaming sites, has millions of subscribers and a massive song catalog.