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

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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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2022: A productivity revolution

Cassie Kozyrkov

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

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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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Building a Logistic Regression Classifier in PyTorch

Machine Learning Mastery

Last Updated on December 30, 2022 Logistic regression is a type of regression that predicts the probability of an event. It is used for classification problems and has many applications in the fields of machine learning, artificial intelligence, and data mining. The formula of logistic regression is to apply a sigmoid function to the output […] The post Building a Logistic Regression Classifier in PyTorch 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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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.

NLP 304

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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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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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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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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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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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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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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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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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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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ML Collaboration: Best Practices From 4 ML Teams

The MLOps Blog

As per a report by McKinsey , AI has the potential to contribute USD 13 trillion to the global economy by 2030. The onset of the pandemic has triggered a rapid increase in the demand and adoption of ML technology. It uncovers diverse uses, such as improving productivity leading to operational gains, and introducing new features to improve customer experience and engagement, among many others.

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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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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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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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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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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 […].

Big Data 282
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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 […].

Python 282
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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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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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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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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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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 […].

NLP 271
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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 […].

NLP 271
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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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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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Analytics Vidhya’s Top 10 Blogs on Computer Vision in 2022

Analytics Vidhya

Introduction The year 2022 saw more than 4000 submissions from different authors on diverse topics ranging from machine learning, computer vision, data science, deep learning, and programming to NLP. While each article published at AV is nothing short of a brimming uproar of knowledge and valuable insights, some stood up the ladder to seal a […].

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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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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 […].