Towards AI

AUGUST 25, 2023

In ML, there are a variety of algorithms that can help solve problems. In graduate school, a course in AI will usually have a quick review of the core ML concepts (covered in a previous course) and then cover searching algorithms, game theory, Bayesian Networks, Markov Decision Processes (MDP), reinforcement learning, and more.

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Data Science Dojo

JANUARY 18, 2023

This makes them susceptible to exploitation from expensive moneylenders or loan sharks in the informal financial sector. AI and machine learning algorithms however can reduce this discrepancy.

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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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Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

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Hacker News

MARCH 25, 2022

First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date. That’s a radical shift from a 2017 IEEE study that reported RNNs and CNNs were the most popular models for pattern recognition. No Labels, More Performance. How Transformers Got Their Name.

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Smart Data Collective

DECEMBER 9, 2020

In 2017, the university forged a partnership with Microsoft and the city of Bellevue. Data from these accidents is used to train machine learning algorithms to identify correlating risk factors with car accidents. Machine learning algorithms will also be able to aggregate data from third parties on traffic safety risks.

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Smart Data Collective

NOVEMBER 28, 2022

Ahmed Elgammal, director of Rutgers Art and Artificial Intelligence Laboratory, explains in his article published in American Scientist that these programs employ one of two algorithm classes. The user feeds the algorithm hundreds of pictures, and the algorithm tries to imitate them as best it can.

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. NLP algorithms help computers understand, interpret, and generate natural language.

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Heartbeat

MARCH 14, 2023

By incorporating computer vision methods and algorithms into robots, they are able to view and understand their environment. Object recognition and tracking algorithms include the CamShift algorithm , Kalman filter , and Particle filter , among others.

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Data Science 101

APRIL 26, 2019

Gopher Data – Gophers doing data analysis, no schedule events, last blog post was 2017 Gopher Notes – Golang in Jupyter Notebooks Lgo – Interactive programming with Jupyter for Golang Gota – Data frames for Go, “The API is still in flux so use at your own risk.” Thoughts from the Community.

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Smart Data Collective

AUGUST 5, 2020

AI Algorithms to Optimize Judicial Procedures. It is a fact that advanced AI-based algorithms are successfully practiced in some judicial systems in the world. Predictive algorithms; In a number of the American states, they involve predictive algorithms that assist in minimizing the load on the judicial structure.

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Smart Data Collective

SEPTEMBER 30, 2021

It’s no secret that artificial intelligence and technology has been developing quickly in recent times, with applications such as CAPTCHA that prevent bots from accessing sites, thermostats that adapt to our daily schedules or even algorithms that could choose potential vacation destinations for us. Drought Risk Assessment and Prediction.

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Mlearning.ai

APRIL 10, 2023

3 feature visual representation of a K-means Algorithm. Essentially, the clustering algorithm is grouping data points together without any prior knowledge or guidance to discover hidden patterns or unusual data groupings without the need for human interference. 4, center_box=(20, 5)) model = OPTICS().fit(x)

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ML @ CMU

MARCH 31, 2023

The stages of evaluation are adapted from Doshi-Velez and Kim (2017); we introduce an additional stage, use-case-grounded algorithmic evaluations, in a recent Neurips 2022 paper [ 2 ]. We introduced an algorithmic-based evaluation called simulated user evaluation (SimEvals) [ 2 ]. Our contributions.

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Data Science Dojo

OCTOBER 18, 2023

In this post, we will study the key components of transformers to understand how they have become the basis of the state of the art in different tasks. Introduction – Attention is all you need The Transformer architecture was first introduced in the 2017 paper “ Attention is All You Need ” by researchers at Google.

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Universe of Data Science

DECEMBER 4, 2021

In this part, we will use AADT dataset available in AID package (Dag and Ilk, 2017). How to Apply Box-Cox Transformation for One-way ANOVA in R We use boxcoxfr() function available in AID package (Dag and Ilk, 2017) to apply Box-Cox transformation for one-way ANOVA in R. Then, we will conduct one-way ANOVA and pairwise comparison.

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Towards AI

JULY 20, 2023

That’s great news for researchers who often work on SLRs because the traditional process is mind-numbingly slow: An analysis from 2017 found that SLRs take, on average, 67 weeks to produce. As the capabilities of high-powered computers and ML algorithms have grown, so have opportunities to improve the SLR process. dollars apiece.

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Defined.ai blog

JANUARY 29, 2023

Generative Adversarial Networks (GANs) are a type of deep learning algorithm that’s been gaining popularity due to their ability to generate high-quality, realistic images and other types of data. As such, Generative Adversarial Networks are invaluable deep learning algorithms with almost endless beneficial potential. How can we help?

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Towards AI

APRIL 8, 2024

Word2Vec, a widely-adopted NLP algorithm has proven to be an efficient and valuable tool that is now applied across multiple domains, including recommendation systems. million unique users, capturing listens across 25 million unique songs gathered between 2017 and 2023.

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Flipboard

MARCH 7, 2023

“The machine learning that a lot of what we’re doing is based on was invented in 2017 at Google. ” The app’s algorithms are focused on more than just tracking clicks and engagement. . ” The app’s algorithms are focused on more than just tracking clicks and engagement. wouldn’t exist.

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Ocean Protocol

MARCH 10, 2023

Ocean Foundations Ocean Protocol was launched in 2017 with a whitepaper and a promise: to create the building blocks and tools to unleash an open, permissionless and secure data economy. Overview Team Thresher’s aim is to help data scientists make $ from their data and algorithms on Ocean. They love algorithms. Introduction 2.1.

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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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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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ML @ CMU

MARCH 30, 2023

The stages of evaluation are adapted from Doshi-Velez and Kim (2017); we introduce an additional stage, use-case-grounded algorithmic evaluations, in a recent Neurips 2022 paper [ 2 ]. We introduced an algorithmic-based evaluation called simulated user evaluation (SimEvals) [ 2 ]. Our contributions.

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Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions.

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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. Kurakin et al, ICLR 2017. On the applied side, no one has yet designed a truly powerful defense algorithm that can resist a wide variety of adversarial example attack algorithms.”

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Smart Data Collective

DECEMBER 13, 2022

In 2017, 77% of U.S. Some of their solutions include: big data functionality capable of processing national and state-district level statistics, AI algorithms to formulate automatic solutions, combining data analytics tools with data visualization to show hidden and profound insights to business managers. between 2022 and 2030.

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ODSC - Open Data Science

OCTOBER 18, 2023

It continues with the selection of a clustering algorithm and the fine-tuning of a model to create clusters. Finally, a linear approximation is used to create a simple representation of the machine learning clustering algorithm.

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Smart Data Collective

MARCH 22, 2019

They will be even better at this in the future, as big data algorithms improve further. The error rate for real estate professionals using AI algorithms is just 9%. According to the National Association of Realtors, 51% of home buyers found their ideal home online in 2017. Accurate Property Evaluations.

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Smart Data Collective

AUGUST 9, 2022

The number increased 56% between 2017 and 2018. It includes using data analytics to coordinate testing, create AI algorithms to automate processes and learn from simulated attacks to ensure security at every development step. The risk of data breaches is rising sharply. Fortunately, new technology can help enhance cybersecurity.

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ODSC - Open Data Science

JUNE 13, 2023

billion in 2017 to 3.78 The average annual growth in social media consumers has been 230 million between 2017 and 2021. She currently works as the Director of Data Science at Placemakr where she leads data intelligence and algorithmic development functions for optimizing operations and revenue. billion in 2021.

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Smart Data Collective

SEPTEMBER 30, 2022

In 2019, this environment evolved, multiplying the number of blockchain marketing startups from 22 (2017) to 290 (2019) , which is more than 13 times in a year. In 2018-2019, budding blockchain-based advertising projects provided the first opportunity to buy clean and secure traffic, enriched with genuine data about ad campaign performance.

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Smart Data Collective

AUGUST 9, 2022

Others include LocalBitcoins, which uses AI algorithms to allow for peer-to-peer trading, and Mexico, which offers a platform for buying and selling Bitcoin as well as other digital assets. In 2017, the country’s central bank issued a statement saying that it sees “great potential” in Blockchain technology.

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IBM Journey to AI blog

MARCH 8, 2024

Personalization AI algorithms can analyze vast amounts of customer data, including browsing history, purchasing behavior, and demographic information to deliver personalized product recommendations and tailored shopping experiences.

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Pickl AI

FEBRUARY 14, 2023

Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai Ltd Bert Labs Pvt Ltd is one of the Top AI Startups in India, established in 2017 by Rohit Kochar. Artivatic.ai Artivatic.ai provides high efficiency and transparency for an entire lifecycle of operations.

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Dataconomy

MARCH 7, 2023

Its replies are a hybrid of pre-programmed scripts and machine-learning algorithms. Luka, an AI startup founded in 2017, created it to communicate with a person who passed away. Conversations with the person who programmed it to teach it how to “replicate” human behavior.

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PyImageSearch

JANUARY 2, 2023

Machine learning algorithms can also recognize patterns in DNA sequences and predict a patient’s probability of developing an illness. These algorithms can design potential drug therapies, identify genetic causes of disease, and help understand the mechanisms underlying gene expression.

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