Analytics Vidhya
APRIL 14, 2022
This article was published as a part of the Data Science Blogathon. Source: Forbes.com Introduction It is not hidden from the audience that quantum computing is the future of data processing. Tech giants like IBM, Google, and Microsoft are all aggressively pursuing quantum computing technology for a good reason. The massive speedups and power savings of quantum […].
Eugene Yan
APRIL 9, 2022
Thinking about recsys as interventional vs. observational, and inverse propensity scoring.
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DataRobot Blog
APRIL 11, 2022
If you follow the media stories about AI , you will see two schools of thought. One school is utopian, proclaiming the amazing power of AI, from predicting quantum electron paths to driving a race car like a champion. The other school is dystopian, scaring us with crisis-ridden stories that range from how AI could bring about the end of privacy to self-driving cars that almost immediately crash.
DeepMind
APRIL 11, 2022
We ask the question: “What is the optimal model size and number of training tokens for a given compute budget?” To answer this question, we train models of various sizes and with various numbers of tokens, and estimate this trade-off empirically. Our main finding is that the current large language models are far too large for their compute budget and are not being trained on enough data.
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
APRIL 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a machine learning pipeline that is a Car Price Predictor using Spark in Python. We have already learned the basics of Pyspark in the last article. If you haven’t checked it yet, here is the link. […]. The post Building a Car Price Predictor Using Spark in Python appeared first on Analytics Vidhya.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
DataRobot Blog
APRIL 15, 2022
“I’d put my money on the sun and solar energy,” said Thomas Edison to Henry Ford and Harvey Firestone. Indeed, the race to renewable power generation is catching pace and solar power is one of the cleanest power generation techniques in the renewable energy space. Like with any power generation methodology, solar power generation needs to be consumed without waste; however, the availability of sunlight is limited.
DeepMind
APRIL 11, 2022
We ask the question: “What is the optimal model size and number of training tokens for a given compute budget?” To answer this question, we train models of various sizes and with various numbers of tokens, and estimate this trade-off empirically. Our main finding is that the current large language models are far too large for their compute budget and are not being trained on enough data.
Analytics Vidhya
APRIL 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working on the application which will be capable enough to change the image to its watercolor art form, that we will be using just computer vision operations i.e. none of the machine learning techniques will be involved […]. The post Using Computer Vision to Convert Images in Watercolor Art appeared first on Analytics Vidhya.
Explosion
APRIL 12, 2022
The use of a low-code annotation software tool [Prodigy] allows the rapid creation of a custom annotation dataset to train a NER model to identify clinical procedures stored in free-text electronic clinical notes.
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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?
OpenAI
APRIL 13, 2022
Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.” Although originally from economics, it’s something we have to grapple with at OpenAI when figuring out how to optimize objectives that are difficult or costly to measure.
StreamHacker
APRIL 11, 2022
Dead mfers is a collection by sartoodles , who is an active member of the unofficial mfers community, and has created a few mfers derivative collections. Owners of Dead mfers receive free airdrops regularly on the polygon network, and more benefits will be unlocked when the collection is 90% minted. There is also a video game in the works. Let’s look at the contract code … Mint Random The mint function used for Dead mfers is mintRandom : function mintRandom() payable public { require
Analytics Vidhya
APRIL 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to cover Spark SQL in Python. In the last article, we have already introduced Spark and its work and its role in Big data. If you haven’t checked it yet, please go to this link. Spark is […]. The post End-to-End Beginners Guide on Spark SQL in Python appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction Like every other person, I’ve faced quite some difficulties in using a regular expressions, and I am sure still there is a lot to learn. But, I’ve reached a point where I can use them in my day-to-day work. In my process […]. The post Beginners Tutorial for Regular Expression in Python appeared first on Analytics Vidhya.
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
Analytics Vidhya
APRIL 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discover Graph Network Tools and Packages in python that are currently dominating in the data science industry. The world is all about relations. Every entity we see around us is related to each other somehow. Modelling these […]. The post All About Popular Graph Network Tools in Python appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 14, 2022
This article was published as a part of the Data Science Blogathon. Overview In this article, we will be discussing the face detection process using the Dlib HOG detection algorithm. Though in this article we will not only test the frontal face but also different angles of the image and see where our model will perform […]. The post Face Detection Using the DLIB Face Detector Model appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction In the last article, we discussed Apache Spark and the big data ecosystem, and we discussed the role of apache spark in data processing in big data. If you haven’t read it yet, you can find it on this page. This article […]. The post Learn About Apache Spark Using Python appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 11, 2022
Introduction Cloud computing is the name of the game in Web 2.0 and will continue to extend to Web 3.0. Many businesses, from small mom-and-pop corner stores to large multinationals and government agencies. With the shifting to online and virtual business models, cloud computing has helped enhance corporate workflow and reduce office infrastructure costs.
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.
Analytics Vidhya
APRIL 13, 2022
Introduction Microsoft Excel is one of the best tools one can use to analyse data, make stunning charts, plots and dashboards, and basically play with data. But unfortunately, the majority of people use MS Excel only to insert data and perform basic arithmetic operations, without knowing its true potential. So my dear audience, let us […]. The post Create an Interactive Sales Dashboard from Scratch on Microsoft Excel appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 14, 2022
Dear Readers, We are enthralled to bring to a new episode on ‘The DataHour’ In this session, Shashank Mishra, Ex- Amazon Data Engineer, will take you on a learning ride, ‘To Master Data Engineering in 2022‘ as we all know, how data engineering is shaping and plays a pivotal role when it comes to managing […]. The post The DataHour: Learning Path to Master Data Engineering in 2022 appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 14, 2022
Have you ever wondered if it is possible to get access to your dream data science job like a piece of cake? Life would be far easier if you didn’t have to scroll through job sites and referral sites to find and apply for the data science jobs you wanted. The ideal scenario each aspiring […]. The post Analytics Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job appeared first on Analytics Vidhya.
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