Analytics Vidhya
DECEMBER 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction In addition to socializing with pals, humans are addicted to their smartphones. We primarily communicate via social media, such as WhatsApp, Facebook, Telegram, Instagram, and many others. It’s always interesting to see how people start using technology on social media platforms.
AssemblyAI
DECEMBER 23, 2022
ChatGPT is the latest language model from OpenAI and represents a significant improvement over its predecessor GPT-3. Similarly to many Large Language Models, ChatGPT is capable of generating text in a wide range of styles and for different purposes, but with remarkably greater precision, detail, and coherence. It represents the next generation in OpenAI's line of Large Language Models, and it is designed with a strong focus on interactive conversations.
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AI Impacts
DECEMBER 22, 2022
Harlan Stewart and Katja Grace* , 22 December, 2022 News New Hires and role changes In 2022, the AI Impacts team has grown from two to seven full time staff. Out of more than 250 applicants, we hired Elizabeth Santos as Operations Lead, Harlan Stewart as Research Assistant, and three Research Analysts: Zach Stein-Perlman, Aysja Johnson, and (are in the process of hiring) Jeffrey Heninger.
Eugene Yan
DECEMBER 23, 2022
Travelled, wrote, and learned a lot, L5 -> L6, gave a keynote at RecSyS, and started a meetup.
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
DECEMBER 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction Source – Unsplash Welcome to our guide on dealing with sparse datasets! In this guide, we will explore a common problem that can arise when working with data: sparsity. But what is a sparse dataset, you may ask? Imagine you are trying to […]. The post Guide to Dealing with Sparse Datasets?
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
AI Impacts
DECEMBER 22, 2022
Katja Grace, 22 December 2022 Averting doom by not building the doom machine If you fear that someone will build a machine that will seize control of the world and annihilate humanity, then one kind of response is to try to build further machines that will seize control of the world even earlier without destroying it, forestalling the ruinous machine’s conquest.
Cassie Kozyrkov
DECEMBER 21, 2022
Will AI fully exit the realm of science fiction and begin to change everything?
Analytics Vidhya
DECEMBER 22, 2022
Top 10 DataHours – An Overview Analytics Vidhya is one of India’s largest communities for Data Science, Machine Learning, and Analytics. We have always kept our community at the centre stage of the ecosystem. From blogs and practice problems to courses and hackathons, our community has been actively engaged with us throughout the years to […].
DataRobot Blog
DECEMBER 20, 2022
The use of artificial intelligence (AI) in the investment sector is proving to be a significant disruptor, catalyzing the connection between the different players and delivering a more vivid picture of the future risk and opportunities across all different market segments. Real estate investments are not an exception. In this article, we’ll showcase the ability of AI to improve the quality of the potential investment’s future performance, with a specific example from the real estate segment.
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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?
Applied Data Science
DECEMBER 23, 2022
Linking to demos so that you can also review them yourself Have you been finding the leaps of AI in the last past years impressive? Just wait until you hear what happened in 2022. In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight.
Bugra Akyildiz
DECEMBER 22, 2022
Today I’m announcing a brand new addition to my Substack publication: the MLOps Newsletter subscriber chat. This is a conversation space in the Substack app that I set up exclusively for my subscribers — kind of like a group chat or live hangout. I’ll post short prompts, thoughts, and updates that come my way, and you can jump into the discussion.
Analytics Vidhya
DECEMBER 19, 2022
Introduction The world is transforming by AI, ML, Blockchain, and Data Science drastically, and hence its community is growing rapidly. So, to provide our community with the knowledge they need to master these domains, Analytics Vidhya has launched its DataHour sessions. These sessions provide not only theoretical knowledge but also cover practical demonstrations of the […].
Cold Takes
DECEMBER 22, 2022
Click lower right to download or find on Apple Podcasts, Spotify, Stitcher, etc. In previous pieces, I argued that there's a real and large risk of AI systems' developing dangerous goals of their own and defeating all of humanity - at least in the absence of specific efforts to prevent this from happening. I discussed why it could be hard to build AI systems without this risk and how it might be doable.
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
Google Research AI blog
DECEMBER 21, 2022
Posted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team Analysis of Electronic Health Records ( EHR ) has a tremendous potential for enhancing patient care, quantitatively measuring performance of clinical practices, and facilitating clinical research. Statistical estimation and machine learning (ML) models trained on EHR data can be used to predict the probability of various diseases (such as diabetes ), track patient wellness , and predict how patients re
NYU Center for Data Science
DECEMBER 20, 2022
CDS Affiliated Professor & Silver Professor of Mathematics at Courant Gérard Ben Arous Wins 2022 NeurIPS Outstanding Paper Award The honor recognizes his research in high-dimensional limit theorems for stochastic gradient descent CDS Affiliated Professor, Gérard Ben Arous CDS Affiliated Professor & Silver Professor of Mathematics at Courant Gérard Ben Arous won the 2022 Neural Information Processing Systems (NeurIPS) Conference outstanding paper awards for his research “ High-dimensional
Analytics Vidhya
DECEMBER 22, 2022
Introduction Hi everyone! This is the 4th article of the series of data science interview questions. In case you want to revisit the previous ones, tap here. This article will cover all you need to know about boosting algorithms. We have various Machine Learning algorithms to build predictive models. We choose the boosting algorithms based […].
The MLOps Blog
DECEMBER 19, 2022
Classification is one of the most widely applied areas in Machine Learning. As Data Scientists, we all have worked on an ML classification model. Do you remember what was the number of classes in the classification problem you solved, at max, maybe 100 or 200? Will the same model architecture work when the number of classes exceeds 10000? Several real-world applications, including product recognition, face matching, and visual product search, are formulated as a Multiclass Classification problem
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.
Google Research AI blog
DECEMBER 20, 2022
Posted by Pritish Kamath and Pasin Manurangsi, Research Scientists, Google Research Differential privacy (DP) is an approach that enables data analytics and machine learning (ML) with a mathematical guarantee on the privacy of user data. DP quantifies the “privacy cost” of an algorithm, i.e., the level of guarantee that the algorithm’s output distribution for a given dataset will not change significantly if a single user’s data is added to or removed from it.
PyImageSearch
DECEMBER 19, 2022
Table of Contents OAK-D: Understanding and Running Neural Network Inference with DepthAI API Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Introduction to DepthAI DepthAI Software Stack DepthAI API Pipeline Device API Connection Messages Node EdgeDetector XLink XLinkOut NeuralNetwork MobileNetDetectionNetwork YoloDetectionNetwork YoloSpatialDetectionNetwork DepthAI SDK Understanding the DepthAI API Pipeline Devic
Analytics Vidhya
DECEMBER 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction Source – pexels.com Web 3.0, the next generation of the internet, is a decentralized and interoperable platform that utilizes blockchain technology. APIs (Application Programming Interfaces) and microservices are crucial components of this platform, enabling communication and integration between different software systems and decentralized […].
Bugra Akyildiz
DECEMBER 18, 2022
If you have been spending a lot of time with ChatGPT, you my want to take a look at the awesome prompts: [link] You can open full-fledged terminal, write Python, JS in various terminals and then debug your code further. Of course, this does not really do any of those, it just imagines what it would be to run the code in Python and imagine what the code execution would be when it “runs” the code.
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databricks
DECEMBER 21, 2022
The Databricks Media & Entertainment Symposium brought together industry leaders to discuss the evolving role data and technology play in acquiring, engaging and.
Explosion
DECEMBER 18, 2022
In this technical report we lay out a bit of history and introduce the embedding methods in spaCy in detail. Second, we critically evaluate the hash embedding architecture with multi-embeddings on Named Entity Recognition datasets from a variety of domains and languages. The experiments validate most key design choices behind spaCy’s embedders, but we also uncover a few surprising results.
Analytics Vidhya
DECEMBER 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction to Blockchain Network The need for secure and reliable digital transactions becomes more critical as the world becomes increasingly digital. Blockchain technology provides a way to record and transfer digital assets securely and reliably. Simply put, a blockchain is a digital ledger of […].
James Thorn
DECEMBER 17, 2022
Probability, statistics, all familiar names to the Data Scientist.
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.
databricks
DECEMBER 19, 2022
This is a collaborative post from Tredence and Databricks. We thank Morgan Seybert, Executive VP, Chief Business Officer-Retail at Tredence, for their contributions.
Explosion
DECEMBER 18, 2022
“What can you do to maximize probability of success for your Machine Learning solution? Throughout my 15 years as data scientist in academia, big pharma and through consulting, one common theme has emerged: the most reliable predictor of success for any NLP or ML-based solution is whether or not you involve the data science team early on.
Analytics Vidhya
DECEMBER 20, 2022
Spilling the Beans Welcome to a thrilling and impactful conversation with Ruchi Bhatia, where she spills the beans on her Triple Grandmaster Journey on Kaggle. She is also the youngest to be a 3x GM and the 2nd woman ever to attain this title. Before jumping into the interview, let’s get to know Ruchi. She […]. The post Interview Excerpts with Kaggle Datasets Grandmaster Ruchi Bhatia – A Sneak Peek Into Her Triple Grandmaster Journey on Kaggle appeared first on Analytics Vidhya.
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