Analytics Vidhya

JANUARY 2, 2023

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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IBM Journey to AI blog

JANUARY 5, 2023

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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Artificial Lawyer

JANUARY 3, 2023

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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AWS Machine Learning Blog

JANUARY 6, 2023

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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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

Analytics Vidhya

JANUARY 2, 2023

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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NYU Center for Data Science

JANUARY 6, 2023

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 Machine Learning Blog

JANUARY 6, 2023

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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Analytics Vidhya

JANUARY 5, 2023

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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Machine Learning Mastery

JANUARY 3, 2023

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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Business Intelligence

Defined.ai blog

JANUARY 5, 2023

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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AWS Machine Learning Blog

JANUARY 6, 2023

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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Analytics Vidhya

JANUARY 2, 2023

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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The MLOps Blog

JANUARY 5, 2023

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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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

AI

Snorkel AI

JANUARY 5, 2023

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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AWS Machine Learning Blog

JANUARY 6, 2023

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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Analytics Vidhya

JANUARY 1, 2023

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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Defined.ai blog

JANUARY 5, 2023

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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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.

Business Intelligence

Snorkel AI

JANUARY 5, 2023

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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Machine Learning Research at Apple

JANUARY 3, 2023

This paper was accepted at the "Human in the Loop Learning Workshop" at NeurIPS 2022. Specification of reward functions for Reinforcement Learning is a challenging task which is bypassed by the framework of Preference Based Learning methods which instead learn from preference labels on trajectory queries. These methods, however, still suffer from high requirements of preference labels and often would still achieve low reward recovery.

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Analytics Vidhya

JANUARY 1, 2023

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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Bugra Akyildiz

JANUARY 1, 2023

If you are reading one 100-page report this week, I recommend prioritizing this report for AI Infrastructure: It talks a lot about the landscape and provide data points on the maturity and adoption level for different parts of the AI Infrastructure stack. Articles Apple announced optimizations for CoreML for popular stable diffusion library in here.

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Snorkel AI

JANUARY 4, 2023

An exciting chat between Alex Ratner, co-founder and CEO, Snorkel AI, and Simran Arora, ML researcher, Stanford University, about new research from Hazy Research on how prompting methods enable a 6B parameter model to outperform the 175B parameter GPT-3. Snorkel AI co-founder and CEO Alex Ratner recently interviewed several Snorkel researchers about their published academic papers.

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Machine Learning Research at Apple

JANUARY 3, 2023

State-of-the-art automatic augmentation methods (e.g., AutoAugment and RandAugment) for visual recognition tasks diversify training data using a large set of augmentation operations. The range of magnitudes of many augmentation operations (e.g., brightness and contrast) is continuous. Therefore, to make search computationally tractable, these methods use fixed and manually-defined magnitude ranges for each operation, which may lead to sub-optimal policies.

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Analytics Vidhya

JANUARY 4, 2023

This article was published as a part of the Data Science Blogathon. Introduction As a data scientist, in many cases of fraud detection in the bank for a transaction, Smart meters anomaly detection, how will you identify anomalies or outliers? A data point significantly off the average and, depending on the goal, either removing or […]. The post Learning Different Techniques of Anomaly Detection appeared first on Analytics Vidhya.

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PyImageSearch

JANUARY 2, 2023

Table of Contents Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research Healthcare Efficiency Reaching Underserved Communities Applications Medical Research in Genetics and Genomics Clinical Care Medical Imaging and Radiology Pathology Dermatology Neurology Mental Health Diabetes Eye Care Challenges Regulatory Friction Non-Representative AI: Potential Bias and Misdiagnosis Effect on Patients and Healthcare Professionals Institutional Inertia Summary Consult

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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.

Generative AI

Jay Alammar

DECEMBER 31, 2022

Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics? Over the last few days, I used AI image generation to reproduce one of my childhood nightmares. I wrestled with Stable Diffusion, Dall-E and Midjourney to see how these commercial AI generation tools can help retell an old visual story - the intro cinematic to an old video game ( Nemesis 2 on the MSX ).

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Machine Learning Mastery

DECEMBER 31, 2022

Last Updated on January 1, 2023 While a logistic regression classifier is used for binary class classification, softmax classifier is a supervised learning algorithm which is mostly used when multiple classes are involved. Softmax classifier works by assigning a probability distribution to each class. The probability distribution of the class with the highest probability is […] The post Introduction to Softmax Classifier in PyTorch appeared first on MachineLearningMastery.com.

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Analytics Vidhya

DECEMBER 31, 2022

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 […].

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