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Articles related to "based"


Machine Learning for Building Recommender System in Python

  • In this article, I use the Kaggle Netflix prize data [2] to demonstrate how to use model-based collaborative filtering method to build a recommender system in Python.
  • A memory-based system uses users’ rating data to compute the similarity between users or items.
  • This article describes how to build a model-based collaborative filtering system using the SVD model.
  • There are multiple Python libraries available (e.g., Python scikit Surprise [7], Spark RDD-based API for collaborative filtering [8]) for building recommender systems.
  • The Surprise library [7] contains the implementation of multiple models/algorithms for building recommender systems such as SVD, Probabilistic Matrix Factorization (PMF), Non-negative Matrix Factorization (NMF), etc.
  • In this article, I used the scikit Surprise library [7] and the Kaggle Netflix prize data [2] to demonstrate how to use model-based collaborative filtering method to build a recommender system in Python.

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Why do we still have The Bomb?

  • They are the co-authors of the new book "The Button: The New Nuclear Arms Race and Presidential Power from Truman to Trump." The opinions expressed in this commentary are those of the authors; view more opinion on CNN.
  • President Harry Truman could not have fully understood the power of the atomic bomb when -- at his direction -- the United States dropped two on Hiroshima and Nagasaki 75 years ago.
  • Even though we have much better things to spend the money on, such as responding to the coronavirus and rebuilding the economy, advocates for The Bomb have convinced Congress to fund nuclear programs to replace the submarines, bombers and land-based missiles as if the Cold War never ended.
  • We explore this question in our new book, "The Button: The New Nuclear Arms Race and Presidential Power from Truman to Trump." Here is what we found.

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Machine Learning for Building Recommender System in Python

  • In this article, I use the Kaggle Netflix prize data [2] to demonstrate how to use model-based collaborative filtering method to build a recommender system in Python.
  • A memory-based system uses users’ rating data to compute the similarity between users or items.
  • This article describes how to build a model-based collaborative filtering system using the SVD model.
  • There are multiple Python libraries available (e.g., Python scikit Surprise [7], Spark RDD-based API for collaborative filtering [8]) for building recommender systems.
  • The Surprise library [7] contains the implementation of multiple models/algorithms for building recommender systems such as SVD, Probabilistic Matrix Factorization (PMF), Non-negative Matrix Factorization (NMF), etc.
  • In this article, I used the scikit Surprise library [7] and the Kaggle Netflix prize data [2] to demonstrate how to use model-based collaborative filtering method to build a recommender system in Python.

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ASX futures lower, gold tops $US2020

  • Based on the Australian dollar buying $US71.6 cents gold is fetching $2813 an ounce, with local gold miners on the sharemarket eyeing record highs of their own today.
  • The chairman of global biotechnology giant CSL, Brian McNamee, has warned that Melbourne's lockdown will have "devastating" economic, social and health costs and called for governments to put forward a credible virus strategy that is "not seen as blunt or punitive to the wider society".
  • Gold has climbed 2.2pc to a record $US2024 an ounce, the Australian dollar buys $US71.6 cents, the Nasdaq Index closed up 0.35pc, S&P500 up 0.36pc.
  • Australian shares are set to open lower, though a late rally in New York helped check earlier futures losses.

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Machine Learning for Building Recommender System in Python

  • In this article, I use the Kaggle Netflix prize data [2] to demonstrate how to use model-based collaborative filtering method to build a recommender system in Python.
  • A memory-based system uses users’ rating data to compute the similarity between users or items.
  • This article describes how to build a model-based collaborative filtering system using the SVD model.
  • There are multiple Python libraries available (e.g., Python scikit Surprise [7], Spark RDD-based API for collaborative filtering [8]) for building recommender systems.
  • The Surprise library [7] contains the implementation of multiple models/algorithms for building recommender systems such as SVD, Probabilistic Matrix Factorization (PMF), Non-negative Matrix Factorization (NMF), etc.
  • In this article, I used the scikit Surprise library [7] and the Kaggle Netflix prize data [2] to demonstrate how to use model-based collaborative filtering method to build a recommender system in Python.

save | comments | report | share on


How to change your Google advertising settings

  • Google personalizes the ads you see based on your Google account’s activity — and sometimes, that can lead to weird results.
  • Fortunately, if you want to see ads that are more relevant to you, you can change what Google thinks it knows about you.
  • Note: if you’re signed in to your device with multiple Google accounts, personalized ads are usually based on your “default account,” which is the one you signed in with first.
  • If you want to see personalized ads, but aren’t happy with the ads you currently see, you can modify your Google account’s traits and interests.
  • If you don’t want to see ads that are personalized to you at all, you can opt out of seeing them entirely.
  • Google may still personalize your ads based on your location or the website you’re visiting at the time, but you’ll no longer see ads based on your browsing activity.

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TaxScouts raises £5M Series A to expand to Europe, first stop Spain

  • TaxScouts, the U.K. tax preparation startup founded by TransferWise and MarketInvoice alumni, has raised £5 million in Series A funding for European expansion.
  • Aiming to build a “pan-European” tax filing service, first stop outside the U.K. is Spain, with TaxScouts having already appointed a Madrid-based country manager.
  • It says it has chosen Spain based on the size of the market and the complexity of the local tax system, and will expand to further European markets in the near future.
  • Combining “automation” with a network of human accountants, TaxScouts’ service is designed to support you through your annual tax filing preparation and submission.
  • TaxScouts says the new Series A investment will be used to develop the company’s Spanish service and make key hires across its engineering, product, and marketing teams.
  • The market is double that of the UK, and this is the first step to us building a pan-European tax service”.

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The New Wave of Technological Startup with Artificial Intelligence in Medicine

  • The rapid advancement in medicine and technology has produced a new wave of scientific research and potential industrial innovation.
  • It involves deep learning technology to improve the diagnosis of medical reports such as reading of X-rays and MRI .
  • The technology aims at making conclusions on reports through image analysis and can be complimented with expert consultation of a radiologist.
  • Stanford University and Harvard Medical School are both involved with similar research technology on developing new AI methods for allowing digital image diagnosis.
  • It mostly involves online diagnosis through virtual consultation with a physician and answering a series of relevant questions.
  • Machine Medicine is a Europe based company that specializes in developing AI technology for motor assessment.
  • The US healthcare market is $ 3.6 T but Europe based digital healthcare startups are also offering similar competition by raising approximately $ 2.6 Billion.

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The New Wave of Technological Startup with Artificial Intelligence in Medicine

  • The rapid advancement in medicine and technology has produced a new wave of scientific research and potential industrial innovation.
  • It involves deep learning technology to improve the diagnosis of medical reports such as reading of X-rays and MRI .
  • The technology aims at making conclusions on reports through image analysis and can be complimented with expert consultation of a radiologist.
  • Stanford University and Harvard Medical School are both involved with similar research technology on developing new AI methods for allowing digital image diagnosis.
  • It mostly involves online diagnosis through virtual consultation with a physician and answering a series of relevant questions.
  • Machine Medicine is a Europe based company that specializes in developing AI technology for motor assessment.
  • The US healthcare market is $ 3.6 T but Europe based digital healthcare startups are also offering similar competition by raising approximately $ 2.6 Billion.

save | comments | report | share on


The New Wave of Technological Startup with Artificial Intelligence in Medicine

  • The rapid advancement in medicine and technology has produced a new wave of scientific research and potential industrial innovation.
  • It involves deep learning technology to improve the diagnosis of medical reports such as reading of X-rays and MRI .
  • The technology aims at making conclusions on reports through image analysis and can be complimented with expert consultation of a radiologist.
  • Stanford University and Harvard Medical School are both involved with similar research technology on developing new AI methods for allowing digital image diagnosis.
  • It mostly involves online diagnosis through virtual consultation with a physician and answering a series of relevant questions.
  • Machine Medicine is a Europe based company that specializes in developing AI technology for motor assessment.
  • The US healthcare market is $ 3.6 T but Europe based digital healthcare startups are also offering similar competition by raising approximately $ 2.6 Billion.

save | comments | report | share on