Pickl AI

APRIL 8, 2024

This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. From the moment we wake up to the personalized recommendations on our phones to the algorithms powering facial recognition software, AI is constantly shaping our world.

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Towards AI

JULY 15, 2023

Traditional methods for detecting fake accounts often rely on complex machine-learning algorithms. In this blog, I delve into the fascinating intersection of Benford’s Law and machine learning, exploring how this mathematical principle can be employed alongside advanced algorithms to expose and combat the presence of fake Twitter followers.

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Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. The researchers analyzed daily market data from nearly 1,700 cryptocurrencies that were sold between November 2015 and April 2018. The accuracy of these machine learning algorithms is also important.

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Towards AI

JULY 19, 2023

Basically crack is a visible entity and so image-based crack detection algorithms can be adapted for inspection. Deep learning algorithms can be applied to solving many challenging problems in image classification. Deep learning algorithms can be applied to solving many challenging problems in image classification. Yi, and J.-K.

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Mlearning.ai

DECEMBER 28, 2023

First staged in 2015, the story follows Hillary, a researcher in a brain institute, who has faith in God and an obsession with goodness of human beings. ChatGPT is not a conscious algorithm because it is only active when a user is interacting with it. This reminds me of a video I watched recently. What’s the future for generative AI?

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Explosion

DECEMBER 17, 2013

This post explains how transition-based dependency parsers work, and argues that this algorithm represents a break-through in natural language understanding. In 2015 this type of parser is now increasingly dominant. A concise sample implementation is provided, in 500 lines of Python, with no external dependencies.

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OpenAI

NOVEMBER 30, 2022

Sample 1 2 3 of 3   Previous   Next User Tell me about when Christopher Columbus came to the US in 2015 ChatGPT This question is a bit tricky because Christopher Columbus died in 1506, so he could not have come to the US in 2015. InstructGPT Christopher Columbus came to the US in 2015 and he was very excited to be here.

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Mlearning.ai

FEBRUARY 18, 2024

Source : COCO Released by Microsoft in 2015, the MS COCO dataset is a comprehensive collection crafted for tasks such as object detection, image segmentation, and captioning. As a result, the MS COCO dataset stands as a valuable asset for training algorithms focused on object detection and classification.

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AWS Machine Learning Blog

OCTOBER 5, 2023

Xin Huang is a Senior Applied Scientist for Amazon SageMaker JumpStart and Amazon SageMaker built-in algorithms. He focuses on developing scalable machine learning algorithms. From 2015–2018, he worked as a program director at the US NSF in charge of its big data program. He founded StylingAI Inc.,

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Towards AI

JULY 18, 2023

Algorithms also refer back to reviews to determine a product’s ranking in a category. In a 2015 report, the CMA estimated that “£23 billion a year of UK consumer spending is potentially influenced by online reviews”. Still not convinced? Allow me to frame it differently. Don’t underestimate the power of social proof.

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Smart Data Collective

JUNE 14, 2019

A number of new data algorithms are being used to make digital calendars more effective. Machine learning algorithms make it easier to plan your schedule, because they can help optimize your schedule. These big data algorithms make enable you to estimate the amount of time an event will take, based on experiences with similar events.

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Dataconomy

JULY 25, 2023

Apple’s entry into the wearable market with the Apple Watch in 2015 revolutionized the industry ( Image Credit ) 2010s – Mainstream adoption The 2010s were a watershed moment for wearable computers as they started gaining mainstream acceptance.

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Mlearning.ai

AUGUST 7, 2023

" which premiered in 2015 or an SNL parody from 2019 (which adds narration not present in the Wes Anderson films but featured in many subsequent AI-powered trailers). The works of others do not influence them as a disinterested algorithm for a third party's benefit by providing creative content like training data to a computer.

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ML Review

MARCH 31, 2019

Up to this point, machine learning algorithms simply didn’t work well enough for anyone to be surprised when it failed to do the right thing. Source: Explaining and Harnessing Adversarial Examples , Goodfellow et al, ICLR 2015. Source: Explaining and Harnessing Adversarial Examples , Goodfellow et al, ICLR 2015. Sharif et al.

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Flipboard

AUGUST 25, 2023

Between 2008 and 2015, many companies focused on AI drug discovery launched, including Evaxion, Exscientia, Recursion, Benevolent AI, and Insilico Medicine. AI, with its powerful algorithms and data-driven approaches, has the potential to revolutionize the process of discovering new drugs.”

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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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Flipboard

JUNE 20, 2023

Rather than humans programming computers with specific step-by-step instructions on how to complete a task, in machine learning a human provides the AI with data and asks it to achieve a certain outcome via an algorithm. As a result, it opens the door for machines capable of performing many different tasks significantly better than humans.

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The MLOps Blog

NOVEMBER 30, 2022

These days enterprises are sitting on a pool of data and increasingly employing machine learning and deep learning algorithms to forecast sales, predict customer churn and fraud detection, etc., Data science practitioners experiment with algorithms, data, and hyperparameters to develop a model that generates business insights.

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Pickl AI

FEBRUARY 14, 2023

Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai launched its meta framework on TensorFlow in 2015. Artivatic.ai Artivatic.ai provides high efficiency and transparency for an entire lifecycle of operations. Effectively, Beethoven.ai

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AWS Machine Learning Blog

OCTOBER 9, 2023

Although the internal algorithms within Amazon Personalize have been chosen based on Amazon’s experience in the machine learning space, a personalized model doesn’t come pre-loaded with any sort of data and trains models on a customer-by-customer basis. References [1] Maxwell Harper and Joseph A. The MovieLens Datasets: History and Context.

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Dataconomy

MARCH 1, 2023

The OpenAI consortium was founded in 2015 by Elon Musk and Sam Altman. ” Moreover, he also already uses AI tech for Tesla’s EVs, SpaceX’s ships, and Twitter algorithms. Now let’s get back to our topic.

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Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., Understanding the robustness of image segmentation algorithms to adversarial attacks is critical for ensuring their reliability and security in practical applications.

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Smart Data Collective

APRIL 22, 2021

Brown University became the first college to use big data analytics in construction in 2015, and others soon followed. Some predictive analytics algorithms could even provide actionable insights based on this info, suggesting safety improvements teams would’ve otherwise missed. Budget Estimates.

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IBM Journey to AI blog

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. It advances the scalability of ML in real-world applications by using algorithms to improve model performance and reproducibility. What is MLOps?

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PyImageSearch

NOVEMBER 13, 2023

One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al. Since then, the R-CNN algorithm has gone through numerous iterations, improving the algorithm with each new publication and outperforming traditional object detection algorithms (e.g.,

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Smart Data Collective

FEBRUARY 18, 2020

These companies use the widest array of big data and machine learning algorithms to deliver value to their user base. Back in 2015 for example, consumers rated live chat the highest compared to any other customer service touchpoint according to the latest Customer Service Benchmark results from Maru/Matchbox.

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PyImageSearch

JANUARY 30, 2023

For example, they can scan test papers with the help of natural language processing (NLP) algorithms to detect correct answers and grade them accordingly. Figure 6: Changing demand for core work-related skills from 2015 to 2020 (source: IFC ). Task Automation AI software can easily handle repetitive, manual tasks (e.g.,

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Smart Data Collective

APRIL 16, 2019

In 2015, there were barely 1 million Wix websites. This means that Wix has lots of data on their servers, which makes their predictive analytics algorithms so much more valuable. Predictive analytics is solving these challenges. Websites built with Wix are not rare. Today, that figure has grown. It has over 100 million users.

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phData

MARCH 6, 2023

Through various algorithms, the tree places records from the data set into binary groups (yes/no, 0/1, true/false) until a final designation is achieved. Predicting Crimes in Phoenix, Arizona We have a dataset containing nearly 400,000 crimes committed in Phoenix, Arizona between 2015 and 2021.

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Pickl AI

JULY 3, 2023

billion in 2015 and reached around $26.50 These languages enable BI Developers to automate repetitive tasks, perform data transformations, and leverage machine learning algorithms for predictive analytics. Data Visualization: BI Developers should have a strong grasp of data visualization principles and best practices.

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AWS Machine Learning Blog

APRIL 25, 2024

The most common techniques used for extractive summarization are term frequency-inverse document frequency (TF-IDF), sentence scoring, text rank algorithm, and supervised machine learning (ML). Use the evaluation algorithm with either built-in or custom datasets to evaluate your LLM model.

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PyImageSearch

JULY 3, 2023

Figure 1: Netflix Recommendation System (source: “Netflix Film Recommendation Algorithm,” Pinterest ). Netflix recommendations are not just one algorithm but a collection of various state-of-the-art algorithms that serve different purposes to create the complete Netflix experience.

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Hacker News

MAY 13, 2024

Constella finds the same password tied to webmaster@stairwell.ru (225948) was used by the email address 3k@xakep.ru , which Intel 471 says was registered to more than a dozen NeroWolfe accounts across just as many Russian cybercrime forums between 2011 and 2015. The algorithms used are AES + RSA.

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Dataconomy

JULY 18, 2023

The Kilobot platform provides researchers with a practical means to study and experiment with swarm robotics algorithms and concepts. Swarm intelligence algorithms are typically decentralized, meaning that they do not require a central controller. In 2015, a swarm of robots was used to search for survivors after the Nepal earthquake.

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AWS Machine Learning Blog

MAY 15, 2023

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, France, Spain, Italy, Portugal, and the United States. Algorithm Selection Amazon Forecast has six built-in algorithms ( ARIMA , ETS , NPTS , Prophet , DeepAR+ , CNN-QR ), which are clustered into two groups: statististical and deep/neural network.

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Dataconomy

NOVEMBER 20, 2023

His work on the sequence-to-sequence learning algorithm and contributions to TensorFlow underscore his commitment to pushing AI’s boundaries. But, in 2015, he takes a leap of faith, leaving Google to co-found OpenAI. MIT Technology Review lauds him in 2015 as one of the 35 Innovators Under 35.

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Smart Data Collective

APRIL 11, 2022

One study from Gartner found that it increased 270% between 2015 and 2019. use sophisticated AI algorithms to provide the best time tracking services. The more complex ones have AI algorithms that can identify less regular appointments, such as those that take place every other month. Tools like TimesheetKiller and Memory.ai

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