Sat.Dec 31, 2022 - Fri.Jan 06, 2023

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Gradient Descent vs. Backpropagation: What’s the Difference?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction You’re probably here because you’re confused about the difference between backpropagation and gradient descent. And you’re not the only one. Many beginners are often confused about the difference between gradient descent and backpropagation. This confusion arises because of how interconnected backpropagation and […].

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Data architecture strategy for data quality

IBM Journey to AI blog

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Just one of these problems can prove costly to an organization.

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The Difference Between ‘Playtime’ + ‘Production’ for AI + Legal Tech

Artificial Lawyer

By Jim Wagner, CEO, Lean Law Labs. As someone who has built multiple AI-powered businesses in the legal community, I know firsthand the exciting potential.

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Power recommendations and search using an IMDb knowledge graph – Part 3

AWS Machine Learning Blog

This three-part series demonstrates how to use graph neural networks (GNNs) and Amazon Neptune to generate movie recommendations using the IMDb and Box Office Mojo Movies/TV/OTT licensable data package, which provides a wide range of entertainment metadata, including over 1 billion user ratings; credits for more than 11 million cast and crew members; 9 million movie, TV, and entertainment titles; and global box office reporting data from more than 60 countries.

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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Launching your first Linux EC2 Instance

Analytics Vidhya

Introduction With the changing world, it is important for companies to transform accordingly. One of the most widely used technologies used these days is cloud computing. The adoption of cloud computing has been increasing rapidly. Either company has already adopted it or is moving towards adopting it. The advantages that cloud computing provides are immaculate. […].

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Harness the Power of Generative AI with Creative Collaboration

Artificial Lawyer

Yesterday, Jim Wagner, CEO, Lean Law Labs, highlighted some of the limitations of applying generative AI tools to legal needs.

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Best practices for creating Amazon Lex interaction models

AWS Machine Learning Blog

Amazon Lex is an AWS service for building conversational interfaces into any application using voice and text, enabling businesses to add sophisticated, natural language chatbots across different channels. Amazon Lex uses machine learning (ML) to understand natural language (normal conversational text and speech). In this post, we go through a set of best practices for using ML to create a bot that will delight your customers by accurately understanding them.

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Delta Lake: A Comprehensive Introduction

Analytics Vidhya

Introduction Delta Lake is an open-source storage layer that brings data lakes to the world of Apache Spark. Delta Lakes provides an ACID transaction–compliant and cloud–native platform on top of cloud object stores such as Amazon S3, Microsoft Azure Storage, and Google Cloud Storage. It enables organizations to quickly and reliably build data lakes on cloud […].

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Building Transformer Models with Attention Crash Course. Build a Neural Machine Translator in 12 Days

Machine Learning Mastery

Last Updated on January 9, 2023 Transformer is a recent breakthrough in neural machine translation. Natural languages are complicated. A word in one language can be translated into multiple words in another, depending on the context. But what exactly a context is, and how you can teach the computer to understand the context was a […] The post Building Transformer Models with Attention Crash Course.

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.

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CDS PhD Student Vishakh Padmakumar Presents Large Language Model for Collaborative Poetry Writing

NYU Center for Data Science

The collaborative poetry writing system CoPoet aims to improve the quality of user-generated content CDS PhD student, Vishakh Padmakumar Large language models (LLMs) have made a significant impact in the field of natural language processing (NLP) by enabling researchers to develop AI systems responsive to human goals and specific instructions. A new collaborative text generation program called CoPoet is tailored to produce content specific to poetry.

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AWS positioned in the Leaders category in the 2022 IDC MarketScape for APEJ AI Life-Cycle Software Tools and Platforms Vendor Assessment

AWS Machine Learning Blog

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. This was the first and only APEJ-specific analyst evaluation focused on AI life-cycle software from IDC. The vendors evaluated for this MarketScape offer various software tools needed to support end-to-end machine learning (ML) model development, including data preparation, model building and training, model operation, eva

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AWS Lambda: A Convenient Way to Send Emails and Analyze Logs

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. convenient Introduction AWS Lambda is a serverless computing service that lets you run code in response to events while having the underlying compute resources managed for you automatically. You may use Lambda to execute code for almost any kind of application or backend […]. The post AWS Lambda: A Convenient Way to Send Emails and Analyze Logs appeared first on Analytics Vidhya.

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What’s a Standard? The Bonterms Perspective

Artificial Lawyer

By Todd Smithline, CEO, Bonterms. In the summer of 2021, Bonterms in San Francisco, and oneNDA in London, each released a new type of standard.

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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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Defined AI Closes $1.1M Seed Investment

Defined.ai blog

As the CEO and founder of DefinedCrowd, I couldn’t be happier with this achievement. We closed our seed round exactly one year after Amy Du and I started this company, in August 2015. It has been an incredible rollercoaster since then, with major highlights such as getting our first customers, opening the Portuguese subsidiary in Startup Lisboa, being accepted into the Microsoft Seattle Accelerator, where we learned so much (thanks to Hanan Levy, Prashant Sharma, Aya Zook and Tim Enger) and meet

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How Thomson Reuters delivers personalized content subscription plans at scale using Amazon Personalize

AWS Machine Learning Blog

This post is co-written by Hesham Fahim from Thomson Reuters. Thomson Reuters (TR) is one of the world’s most trusted information organizations for businesses and professionals. It provides companies with the intelligence, technology, and human expertise they need to find trusted answers, enabling them to make better decisions more quickly. TR’s customers span across the financial, risk, legal, tax, accounting, and media markets.

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Introduction to Amazon API Gateway using AWS Lambda

Analytics Vidhya

Introduction What is an API? In simple terms, API is a messenger; let’s understand this with some examples. Let’s say you are hungry and you need to cook something at home. If you want to make noodles, you just take the ingredients out of the cupboard, fire up the stove, and make it yourself. This […]. The post Introduction to Amazon API Gateway using AWS Lambda appeared first on Analytics Vidhya.

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Artificial Lawyer is on Sabbatical

Artificial Lawyer

Artificial Lawyer – and its founder, Richard Tromans – are on sabbatical until 2024. Aside from announcements in relation to the Legal Innovators conferences, taking.

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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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Building Visual Search Engines with Kuba Cie?lik

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 Kuba Cieślik, founder and AI Engineer at tuul.ai , about building visual search engines. 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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How Corning Built End-to-end ML on Databricks Lakehouse Platform

databricks

“This blog is authored by Denis Kamotsky, Principal Software Engineer at Corning” Corning has been one of the world’s leading innovators in materials scien.

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5 Upcoming Python Libraries You Don’t Want to Miss in 2023

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Python is a popular and influential programming language used in various applications, from web development to data wrangling and scientific computing. One of the critical reasons for Python’s popularity is the wealth of libraries and frameworks available for use, which provides a […].

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Demo: Using Snorkel Flow to train Microsoft Azure Form Recognizer models

Snorkel AI

Last month Snorkel AI highlighted how we’re deepening our partnership with Microsoft Azure AI to help enterprises and government agencies solve their most impactful problems. One example of how Snorkel AI helps organizations leverage Azure AI services for proprietary data and custom objectives is the new Snorkel Flow integration for Microsoft Azure Form Recognizer (currently in private preview).

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Open-source datasets for Conversational AI: advantages and limitations

Defined.ai blog

Open-source datasets are a valuable resource for developers and researchers working on conversational AI. These datasets provide large amounts of data that can be used to train machine learning models, allowing developers to create conversational AI systems that are able to understand and respond to natural language input. There are many open-source datasets available, but some of the best for conversational AI include the Cornell Movie Dialogs Corpus, the Ubuntu Dialogue Corpus, and the OpenSub

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Products We Think You Might Like: Generating Personalized Recommendations Using Matrix Factorization

databricks

Check our Solution Accelerator for Matrix Factorization for more details and to download the notebooks. Recommenders are a critical part of the modern.

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Step-by-Step Roadmap to Become a Data Engineer in 2023

Analytics Vidhya

Introduction You must have noticed the personalization happening in the digital world, from personalized Youtube videos to canny ad recommendations on Instagram. While not all of us are tech enthusiasts, we all have a fair knowledge of how Data Science works in our day-to-day lives. All of this is based on Data Science which is […]. The post Step-by-Step Roadmap to Become a Data Engineer in 2023 appeared first on Analytics Vidhya.

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Snorkel AI to host Foundation Model Virtual Summit, registration now open

Snorkel AI

Snorkel AI will hold a free Foundation Model Virtual Summit on Tuesday, January 17 where speakers from across the technology industry, including some from Google and Stanford University, will discuss the enterprise use of Foundation Models. Registration is now open for the summit , which will begin at 9 AM Pacific Time with an optional in-person portion at Snorkel HQ in Redwood City, CA, to follow from 4 PM to 6 PM.

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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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Legal Innovator Profiles – Nick Watson, Ruby Datum

Artificial Lawyer

This week’s other Legal Innovator Profile is with Nick Watson, CEO, Ruby Datum. – When did you first hear the term ‘legal tech’ and what.

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Building Geospatial Data Products

databricks

Geospatial data has been driving innovation for centuries, through use of maps, cartography and more recently through digital content. For example, the oldest.

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Top 9 Must Read Spring Boot Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source:javaguides.net Introduction Spring Boot is an application developed on top of the Spring Framework. It makes it simpler and faster to install, set up, and execute both basic and web-based apps. The Spring module provides the Spring Framework with the RAD (Rapid Application […].