Sat.Dec 24, 2022 - Fri.Dec 30, 2022

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Streamlit Tutorial: Building Web Apps with Code Examples

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Streamlit is an open-source tool to build and deploy data applications with less coding compared to other front-end technologies like HTML, CSS, and JavaScript. It is a low-code tool specifically designed for building data science applications. Moreover, the Streamlit library has functions […].

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2022 at AssemblyAI - A Year in Review

AssemblyAI

The end of 2022 is quickly approaching, and what a year it has been! As we get closer to 2023, we wanted to take a moment to look back and reflect on some of the highlights of the past year. In 2022, we: Launched our v9 Core Transcription Model , with significant improvements over v8. Launched new Summarization models , including Summarization models trained for specific use cases.

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Connecting Amazon Redshift and RStudio on Amazon SageMaker

AWS Machine Learning Blog

Last year, we announced the general availability of RStudio on Amazon SageMaker , the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale.

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2022: A productivity revolution

Cassie Kozyrkov

The year that changed the way we work Continue reading on The Startup »

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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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Understanding BigQuery: Architecture and Use Case

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Author(Paint) Introduction Arushi is a data architect in a company named Redeem. The company provides cashback to customers who check in at restaurants & hotels. Customers log in through the app and upload the bills and they got a certain percentage of […]. The post Understanding BigQuery: Architecture and Use Case appeared first on Analytics Vidhya.

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2022H2 Amazon Textract launch summary

AWS Machine Learning Blog

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. The millions of mortgage applications and hundreds of millions of W2 tax forms processed each year are just a few examples of such documents. Critical business data remains unlocked in unstructured documents such as scanned images and PDFs, and trying to get humans to read this data or even legacy OCR is tedious, expensive,

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The 2023 Guide To Grooming in Agile

PyImageSearch

Grooming is taking your product’s to-do list of work and transforming it into a product backlog. If you’d like to learn how to groom or refine your backlog so you’re ready for your Sprint, just keep reading. Grooming your backlog Let’s start with a quick working definition. Grooming, also known as refinement in Scrum, is taking notional work and clarifying the scope, testing, and effort estimates associated with that work until it is ready to turn over to the developers t

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Knowledge Enhanced Machine Learning: Techniques & Types

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In machine learning, the data is an essential part of the training of machine learning algorithms. The amount of data and the data quality highly affect the results from the machine learning algorithms. Almost all machine learning algorithms are data dependent, and […].

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Training Logistic Regression with Cross-Entropy Loss in PyTorch

Machine Learning Mastery

Last Updated on December 30, 2022 In the previous session of our PyTorch series, we demonstrated how badly initialized weights can impact the accuracy of a classification model when mean square error (MSE) loss is used. We noticed that the model didn’t converge during training and its accuracy was also significantly reduced. In the following, […] The post Training Logistic Regression with Cross-Entropy Loss in PyTorch appeared first on MachineLearningMastery.com.

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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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Use machine learning to detect anomalies and predict downtime with Amazon Timestream and Amazon Lookout for Equipment

AWS Machine Learning Blog

The last decade of the Industry 4.0 revolution has shown the value and importance of machine learning (ML) across verticals and environments, with more impact on manufacturing than possibly any other application. Organizations implementing a more automated, reliable, and cost-effective Operational Technology (OT) strategy have led the way, recognizing the benefits of ML in predicting assembly line failures to avoid costly and unplanned downtime.

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How Has Machine Learning Changed the Writing Industry?

How to Learn Machine Learning

Machine learning is actually a subsidiary of artificial intelligence. It is used to find a hidden pattern in data masses. Machine learning is one of the most advanced technologies and is being used in almost every booming industry around the world. In the past few years, you can easily see the application of this technology in different industries, including healthcare, retail, etc.

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Top 10 blogs on NLP in Analytics Vidhya 2022

Analytics Vidhya

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages. It involves developing algorithms and models to analyze, understand, and generate human language, enabling computers to perform sentiment analysis, language translation, text summarization, and tasks.

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Automatic Differentiation Part 2: Implementation Using Micrograd

PyImageSearch

Table of Contents Automatic Differentiation Part 2: Implementation Using Micrograd Introduction What Is a Neural Network? Having Problems Configuring Your Development Environment? About micrograd Imports and Setup The Value Class Addition Compute Gradient Multiplication Compute Gradient Power Compute Gradient Negation Subtraction Division Re ctified L inear U nit The Global Backward Build a Multilayer Perceptron with micrograd Module Neuron Layer Multilayer Perceptron Train the MLP Summary Citat

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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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Deploying ML Models on GPU With Kyle Morris

The MLOps Blog

This article was originally an episode of the MLOps Live , an interactive Q&A session where ML practitioners answer questions from other ML practitioners. Every episode is focused on one specific ML topic, and during this one, we talked to Kyle Morris from Banana about deploying models on GPU. You can watch it on YouTube: Or listen to it as a podcast on: Spotify Apple Podcasts But if you prefer a written version, here it is!

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Analytics Vidhya’s Top 10 Machine Learning Blogs in 2022

Analytics Vidhya

Introduction Though machine learning isn’t a relatively new concept, organizations are increasingly switching to big data and ML models to unleash hidden insights from data, scale their operations better, and predict and confront any underlying business challenges. All this positively impacts the ML industry while opening up new career avenues, job roles, a plethora of […].

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Crafting Serverless ETL Pipeline Using AWS Glue and PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview ETL (Extract, Transform, and Load) is a very common technique in data engineering. It involves extracting the operational data from various sources, transforming it into a format suitable for business needs, and loading it into data storage systems. Traditionally, ETL processes are […].

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Introduction to Apache Kafka: Fundamentals and Working

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon? All these sites use some event streaming tool to monitor user activities. […].

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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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Top 5 Tips for Choosing the Right Database for Your Project

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: [link] As a developer, choosing the right database for your project is a crucial decision that can impact your project’s performance, scalability, and overall success. With so many available options, it can be overwhelming to determine which database best fits your […].

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Database Errors: Dark Side and Lessons Learned

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: Image by Pexels from Pixabay Have you ever wondered about the dark side of databases? We, software developers, rely on databases to store and manage important data for our applications. But as we all know, things can go wrong with databases […]. The post Database Errors: Dark Side and Lessons Learned appeared first on Analytics Vidhya.

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Top 5 Interview-Winning Edge Computing Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this constantly growing technical era, everybody wants faster and smarter computing that provides usage information. Edge computing is a kind of networking philosophy that brings processing capabilities closer to the end-user or the source of data to decrease latency and bandwidth […].

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Innovation Unleashed: The Hottest NLP Technologies of 2022

Analytics Vidhya

Introduction There have been many recent advances in natural language processing (NLP), including improvements in language models, better representation of the linguistic structure, advancements in machine translation, increased use of deep learning, and greater use of transfer learning. These advances have significantly improved a wide range of NLP tasks, including language modeling, machine translation, and […].

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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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MongoDB Replication and Sharding- A Complete Introduction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A NoSQL database is a non-relational database that does not use the traditional table-based schema of a relational database. NoSQL databases are often used for big data and real-time web applications. The main advantages of using a NoSQL database are that NoSQL […].

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PyOWM: Accessing Weather Data Through a Python Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction PyOWM (Python OpenWeatherMap) is a Python wrapper for the OpenWeatherMap API that allows developers to easily access a wide range of weather data for various locations. This includes current weather conditions, such as temperature, humidity, wind speed, and direction, as well as forecasts […].

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GCP: The Future of Cloud Computing

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: Image by Albrecht Fietz from Pixabay Google Cloud Platform, or GCP for short, is like a big house with many different rooms. Each room is called a “server,” where websites, apps, and other online stuff live. Imagine you have a really […]. The post GCP: The Future of Cloud Computing appeared first on Analytics Vidhya.

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Advancements in NLP in 2022

Analytics Vidhya

Introduction There have been many recent advances in natural language processing (NLP), including improvements in language models, better representation of the linguistic structure, advancements in machine translation, increased use of deep learning, and greater use of transfer learning. These advances have significantly improved a wide range of NLP tasks, including language modeling, machine translation, and […].

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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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Top 10 Data Science GitHub Repositories of 2022

Analytics Vidhya

Introduction to GitHub Github is a collaborative version control system used by millions of developers for working on projects together. Using GitHub we can manage and track the history of the changes made to our code over time. If someone makes a mistake, then developers can roll back to an older version of the project. […]. The post Top 10 Data Science GitHub Repositories of 2022 appeared first on Analytics Vidhya.

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Ace Your Machine Learning Interview With Expert Tips and Tricks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: [link] As a machine learning professional, you know that the field is rapidly growing and evolving. The increasing demand for skilled machine learning experts makes competition for top job positions fierce. To stand out from the competition and land your dream […].

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Best of Youtube: Top 10 Channels For Free Data Science Learning

Analytics Vidhya

Introduction Data science is a rapidly growing field that combines programming, statistics, and domain expertise to extract insights and knowledge from data. It has various applications in finance, healthcare, and e-commerce. Many resources are available for learning data science, including online courses, textbooks, and blogs. In this article, we will focus on YouTube channels that […].