Pickl AI

JULY 24, 2024

Turing proposed the concept of a “universal machine,” capable of simulating any algorithmic process. The development of LISP by John McCarthy became the programming language of choice for AI research, enabling the creation of more sophisticated algorithms. Simon, demonstrated the ability to prove mathematical theorems.

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Hacker News

MAY 6, 2023

Scientists interested in this latter approach were also represented at Dartmouth and later championed the rise of symbolic logic, using heuristic and algorithmic processes, which I’ll discuss in a bit. The program relied on early ideas of symbolic logic, with algorithmic steps and heuristic guidance in list form.

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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.

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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

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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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 110

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.

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Algorithm Machine Learning Machine Learning Natural Language Processing 90

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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IBM Journey to AI blog

AUGUST 13, 2024

In the following two decades, IBM continued to advance AI with research into machine learning, algorithms, NLP and image processing. contest viewed by millions in February 2011, Watson competed in two matches against the foremost all-time champions. In a televised Jeopardy!

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AI AI Machine Learning Machine Learning 75

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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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

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

AWS Machine Learning Blog

SEPTEMBER 9, 2024

Customers using dynamic programming (DP) algorithms for applications like genome sequencing or accelerated data analytics can also see further benefit from P5e through support for the DPX instruction set. degree in Computer Science in 2011 from the University of Lille 1. He holds a M.E. degree from the University of Science and a Ph.D.

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Hacker News

MAY 28, 2024

This leak gives us a glimpse into how Google’s ranking algorithm works, which is invaluable for SEOs who can understand what it all means. Though we’ve long known Google (and Bing) have “exception lists” when “specific algorithms inadvertently impact websites.” Why we care. ” The articles.

Algorithm 182

Algorithm 182

AWS Machine Learning Blog

JULY 15, 2024

In our pipeline, we used Amazon Bedrock to develop a sentence shortening algorithm for automatic time scaling. Here’s the shortened sentence using the sentence shortening algorithm. She is also the recipient of the Best Paper Award at IEEE NetSoft 2016, IEEE ICC 2011, ONDM 2010, and IEEE GLOBECOM 2005. Cristian Torres is a Sr.

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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.

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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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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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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 96

DagsHub

JULY 25, 2024

TensorFlow implements a wide range of deep learning and machine learning algorithms and is well-known for its adaptability and extensive ecosystem. In finance, it's applied for fraud detection and algorithmic trading. In 2011, H2O.ai Notable Use Cases TensorFlow is widely used in various industries.

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Deep Learning Deep Learning Machine Learning Machine Learning 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.

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Data Mining Data Mining Data Mining Algorithm 68

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.

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Python Algorithm AI AI 52

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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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.

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Machine Learning Machine Learning ML ML 100

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

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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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.

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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

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.

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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 89

Flipboard

APRIL 8, 2023

This split has steadily grown since 2011, when the percentages were nearly equal. With use comes abuse Using data from the AI, Algorithmic, and Automation Incidents and Controversies ( AIAAIC) Repository , a publicly available database, the AI Index reported that the number of incidents concerning the misuses of AI is shooting up.

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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.

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Python Natural Language Processing Deep Learning Deep Learning 52

Towards AI

NOVEMBER 8, 2024

We don’t have better algorithms; we just have more data. Since 2011, Peter Norvig’s words underscore the power of a data-centric approach in machine learning. These datasets are rich in documentation, including open-source scripts, and were built with the intent to test ML algorithms. This member-only story is on us.

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