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?
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: 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.
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.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Cassie Kozyrkov
DECEMBER 21, 2022
Will AI fully exit the realm of science fiction and begin to change everything?
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.
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 […].
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.
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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?
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
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 […].
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: 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.
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.
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.
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 […].
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.
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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.
James Thorn
DECEMBER 17, 2022
Probability, statistics, all familiar names to the Data Scientist.
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.
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 […].
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.
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.
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.
databricks
DECEMBER 19, 2022
Part 2 of the blog series on deploying Workflows through Terraform. Here we focus on how to convert inherited Workflows into Terraform IaC.
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 […].
OpenAI
DECEMBER 23, 2022
Lilian Weng works on Applied AI Research at OpenAI.
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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.
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
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.
Analytics Vidhya
DECEMBER 22, 2022
Introduction Computer Vision is a branch of AI that provides a machine high-level understanding of an image and the power to perform tasks on images that even humans cannot perform. 2022 has been the year of boom for Computer Vision. It has been the most productive year for Computer Vision so far. Many new technologies […]. The post Computer Vision in 2022 – A Quick Recap appeared first on Analytics Vidhya.
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