O'Reilly Media

APRIL 23, 2024

Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?

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Algorithm AI AI Cloud Computing 108

Dataconomy

SEPTEMBER 19, 2023

This involves developing algorithms and models that enable machines to understand, interpret, and respond to voice commands, text-based inputs, and even facial expressions and gestures. Since its introduction in 2011, Siri has become a popular feature on Apple devices such as iPhones, iPads, and Mac computers.

Natural Language Processing 113

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 113

DataRobot Blog

MAY 10, 2022

It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively). Conclusion.

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Machine Learning Machine Learning Data Quality Algorithm 64

Kaggle

APRIL 20, 2020

Once I had created these features, I used a generalization of the random forest algorithm to build a model. I’ll try to write some detail about how this algorithm works when I have more time, but really, the difference between it and a regular random forest is not that great. MaxAPapers’).

Algorithm 49

Algorithm 49

AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). If you have a large dataset, the SageMaker KNN algorithm may provide you with an effective semantic search.

Algorithm 75

Algorithm Machine Learning Machine Learning Natural Language Processing 75

Pickl AI

JULY 12, 2023

1. Matrix (1999-2011) “The Matrix” trilogy, directed by the Wachowski siblings, is a groundbreaking science fiction series that explores themes of reality, consciousness, and the power of data and information. 10 Best Data Science Movies you need to Watch!

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Data Science Artificial Intelligence Artificial Intelligence Data Analysis 52

Dataconomy

JUNE 15, 2023

Aristotle’s ideas on logic and rationality have influenced the development of algorithms and reasoning systems in modern AI, creating the foundation of the timeline of artificial intelligence. AI-powered robots are equipped with sensors, perception systems, and decision-making algorithms to perceive and interact with their environment.

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Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 103

Heartbeat

OCTOBER 9, 2023

Computer vision algorithms can reconstruct a highly detailed 3D model by photographing objects from different perspectives. But computer vision algorithms can assist us in digitally scanning and preserving these priceless manuscripts. These ground-breaking areas redefine how we connect with and learn from our collective past.

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Algorithm Deep Learning Deep Learning Machine Learning 52

Mlearning.ai

JULY 30, 2023

What we are looking for in these algorithms is to output a list of features along with corresponding importance values. Most feature-importance algorithms deal very well with dense and categorical features. We will cover very rudimentary methods, along with quite sophisticated algorithms. The dataset has 10 dense features.

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Python Machine Learning Machine Learning Algorithm 52

DataRobot

AUGUST 20, 2021

He served as Vice Chairman of the Joint Chiefs of Staff, the nation’s second-highest ranking military officer, from 2011-2015. Admiral Winnefeld explains that the best protection against an unintended consequence is to build ethical decision-making rules into machine learning algorithms for lethal autonomous systems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

Kaggle

APRIL 20, 2020

What I tried and What ended up working I tried many different algorithms (mainly weka and matlab implementations) and feature sets in nearly 80 submissions. Originally published at b log.kaggle.com on February 22, 2011. My PhD research focuses on meta-learning and the full model selection problem.

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Algorithm Data Mining Data Mining Data Mining 61

Mlearning.ai

JULY 22, 2023

This approach allows Apple to effectively remove a number of privacy concerns by eliminating the need for extensive data sharing and having the algorithms operate locally on users’ devices. Siri launched back in 2011 and became the first modern virtual assistant of its kind.

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AI AI Algorithm ML 98

Mlearning.ai

AUGUST 6, 2023

As described in the previous article , we want to forecast the energy consumption from August of 2013 to March of 2014 by training on data from November of 2011 to July of 2013. Experiments Before moving on to the experiments, let’s quickly remember what’s our task.

Python 52

Python Algorithm AI AI 52

Kaggle

APRIL 20, 2020

I was playing with various regression algorithms, but quickly chose linear regression — because the results were good and the computation time was short. Originally published at blog.kaggle.com on February 17, 2011. So my solution required me to build 61x10=610 regression models.

Data Mining 68

Data Mining Data Mining Data Mining Algorithm 68

Hacker News

MARCH 25, 2022

Attention Net didn’t sound very exciting,” said Vaswani, who started working with neural nets in 2011.Jakob Their Bidirectional Encoder Representations from Transformers ( BERT ) model set 11 new records and became part of the algorithm behind Google search.

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Machine Learning Machine Learning AI AI 182

AWS Machine Learning Blog

APRIL 6, 2023

We also demonstrate the performance of our state-of-the-art point cloud-based product lifecycle prediction algorithm. For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). We next calculated the MAPE for the actual sales values.

Machine Learning 78

Machine Learning Machine Learning ML ML 78

Explosion

FEBRUARY 18, 2015

The short story is, there are no new killer algorithms. The way that the tokenizer works is novel and a bit neat, and the parser has a new feature set, but otherwise the key algorithms are well known in the recent literature. Dependency Parser The parser uses the algorithm described in my 2014 blog post. 0.2%) difference.

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Algorithm Python Clustering 40

DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. While SR 11-7 is prescriptive in its guidance, one challenge that validators face today is adapting the guidelines to modern ML methods that have proliferated in the past few years.

ML 52

ML ML Machine Learning Machine Learning 52

Flipboard

MARCH 18, 2023

Some of his early published work on the question, from 2011 and 2012, raises questions about what shape those models will take, and how hard it would be to make developing them go well — all of which will only look more important with a decade of hindsight.

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Artificial Intelligence Artificial Intelligence AI AI 123

AWS Machine Learning Blog

OCTOBER 10, 2023

Challenges in FL You can address the following challenges using algorithms running at FL servers and clients in a common FL architecture: Data heterogeneity – FL clients’ local data can vary (i.e., Despite these challenges of FL algorithms, it is critical to build a secure architecture that provides end-to-end FL operations.

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AWS ML ML Algorithm 92

IBM Data Science in Practice

JULY 5, 2023

In Otter-Knoweldge, we use different pre-trained models and/or algorithms to handle the different modalities of the KG, what we call handlers. These handlers might be complex pre-trained deep learning models, like MolFormer or ESM, or simple algorithms like the morgan fingerprint. Nucleic Acids Research, 40(D1):D1100–D1107, 09 2011.

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Database Python Algorithm Deep Learning 130

Data Science Blog

JUNE 27, 2023

Lambda – Architecture Introduced in 2011 during the peak of Big Data’s prominence, the Lambda architecture remains a significant presence in the field. Requirements that clearly speak in favor of Kappa: When the algorithms applied to the real-time data and the historical data are identical.

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Big Data Big Data Apache Kafka Database 130

AWS Machine Learning Blog

OCTOBER 23, 2023

Founded in 2011, Talent.com is one of the world’s largest sources of employment. The performance of Talent.com’s matching algorithm is paramount to the success of the business and a key contributor to their users’ experience.

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AWS Deep Learning Deep Learning Machine Learning 88

Explosion

DECEMBER 17, 2013

Today, almost all high-performance parsers are using a variant of the algorithm described below (including spaCy). This doesn’t just give us a likely advantage in learnability; it can have deep algorithmic implications. But the parsing algorithm I’ll be explaining deals with projective trees.

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Python Algorithm Natural Language Processing 45

IBM Journey to AI blog

OCTOBER 12, 2023

These models rely on learning algorithms that are developed and maintained by data scientists. For example, Apple made Siri a feature of its iOS in 2011. In other words, traditional machine learning models need human intervention to process new information and perform any new task that falls outside their initial training.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 73

Mlearning.ai

JUNE 5, 2023

C++ also provides direct access to low-level features like pointers and bitwise operations, which can improve the efficiency of algorithms and data structures. It is a fork of the Python Imaging Library (PIL), which was discontinued in 2011. This is critical for computer vision jobs that need real-time processing and precision.

Deep Learning 52

Deep Learning Deep Learning Python Machine Learning 52

Hacker News

FEBRUARY 14, 2023

And in fact the big breakthrough in “deep learning” that occurred around 2011 was associated with the discovery that in some sense it can be easier to do (at least approximate) minimization when there are lots of weights involved than when there are fairly few. There’s the raw corpus of examples of language.

Machine Learning 182

Machine Learning Machine Learning Algorithm Artificial Intelligence 182

AWS Machine Learning Blog

APRIL 19, 2023

We use Amazon SageMaker to train a model using the built-in XGBoost algorithm on aggregated features created from historical transactions. It’s easy to learn Flink if you have ever worked with a database or SQL-like system by remaining ANSI-SQL 2011 compliant.

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ML ML Apache Kafka SQL 77

Explosion

MARCH 17, 2019

In 2011, deep learning methods were proving successful for NLP, and techniques for pretraining word representations were already in use. This is exactly what algorithms like word2vec, GloVe and FastText set out to solve. This also allows us to avoid depending on the regex module, and instead switch back to Python’s built-in re library.

Python 52

Python Natural Language Processing Deep Learning Deep Learning 52

ML Review

MAY 3, 2018

Source : Hassanat (2011) [13] These approaches obtained impressive results (over 70% word accuracy) for tests performed with classifiers trained on the same speaker they were tested on. 17] “ LipNet ” introduces the first approach for an end-to-end lip reading algorithm at sentence level. Thus the algorithm is alignment-free.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52

AWS Machine Learning Blog

JULY 20, 2023

Ensemble learning refers to the use of multiple learning models and algorithms to gain more accurate predictions than any single, individual learning algorithm. We then provide an example of how you can train, optimize, and deploy your custom ensembles using Amazon SageMaker. References [1] Raj Kumar, P. Arun; Selvakumar, S.

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ML ML Cross Validation AWS 81