NYU Center for Data Science

OCTOBER 16, 2024

In the wake of OpenAI’s announcement of their new o1 model, CDS Professor of Computer Science and Data Science Kyunghyun Cho tweeted, “ Phew, did you say multiple models, inference time adaptive compute, multimodality and language? ” By tracing these connections, we gain insight into the collaborative nature of AI progress.

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Data Science Dojo

SEPTEMBER 8, 2023

AI encompasses the creation of intelligent machines capable of autonomous decision-making, while Predictive Analytics relies on data, statistics, and machine learning to forecast future events accurately. Read more –> Data Science vs AI – What is 2023 demand for? Goals To predict future events and trends.

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Data Science Dojo

MAY 27, 2024

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. These algorithms use existing data like text, images, and audio to generate content that looks like it comes from the real world.

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Heartbeat

FEBRUARY 6, 2023

How do Object Detection Algorithms Work? There are two main categories of object detection algorithms. Two-Stage Algorithms: Two-stage object detection algorithms consist of two different stages. Single-stage object detection algorithms do the whole process through a single neural network model.

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NYU Center for Data Science

JUNE 2, 2023

Louis will join the CDS community with an extensive background in data science applications within the financial industry and a strong commitment to educational mentorship. “As I can’t think of a better place to do this than NYU Center for Data Science.”

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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

DECEMBER 28, 2023

GenAI I serve as the Principal Data Scientist at a prominent healthcare firm, where I lead a small team dedicated to addressing patient needs. Over the past 11 years in the field of data science, I’ve witnessed significant transformations. Expand your skillset by… courses.analyticsvidhya.com 2.

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Pickl AI

APRIL 10, 2023

So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India. There is a growing demand for employees with digital skills The world is drifting towards data-based decision making In India, a technology analyst can make between ₹ 5.5

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ODSC - Open Data Science

APRIL 28, 2023

Furthermore, data enrichment can help ensure that AI algorithms are trained on diverse data, reducing the risk of bias. Adding datasets for underrepresented groups can help ensure that AI algorithms are not perpetuating any preexisting biases. Tendü received her Ph.D. Tendü received her Ph.D.

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ODSC - Open Data Science

MARCH 22, 2023

Cleanlab is an open-source software library that helps make this process more efficient (via novel algorithms that automatically detect certain issues in data) and systematic (with better coverage to detect different types of issues). You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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ODSC - Open Data Science

SEPTEMBER 21, 2023

After all, this is what machine learning really is; a series of algorithms rooted in mathematics that can iterate some internal parameters based on data. This is understandable: a report by PwC in 2018 suggested that 30% of UK jobs will be impacted by automation by the 2030s Will Robots Really Steal Our Jobs?

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ODSC - Open Data Science

AUGUST 31, 2023

The data set only helps it if it’s well-trained and supervised. A Mongolian pharmaceutical company engaged in a pilot study in 2018 to detect fake drugs, an initiative with the potential to save hundreds of thousands of lives. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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Data Science Dojo

JUNE 26, 2023

In order to learn the nuances of language and to respond coherently and pertinently, deep learning algorithms are used along with a large amount of data. The BERT algorithm has been trained on 3.3 A Google AI language model called Bidirectional Encoder Representations from Transformers (BERT) was introduced in 2018.

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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. photo from Data Science Central Industrial automation, security and surveillance, and service robots are just a few examples of fields that might benefit from robotics’ ability to identify and track objects.

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Data Science Blog

OCTOBER 20, 2024

Algorithmic Attribution using binary Classifier and (causal) Machine Learning While customer journey data often suffices for evaluating channel contributions and strategy formulation, it may not always be comprehensive enough. 0278937 The post Data-driven Attribution Modeling appeared first on Data Science Blog.

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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. Dr. Huan works on AI and Data Science. From 2015–2018, he worked as a program director at the US NSF in charge of its big data program.

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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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AWS Machine Learning Blog

FEBRUARY 29, 2024

is a startup dedicated to the mission of democratizing artificial intelligence technologies through algorithmic and software innovations that fundamentally change the economics of deep learning. Vihan is also a recipient of a National Science Foundation research fellowship. Founded in 2021, ThirdAI Corp.

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Towards AI

JULY 20, 2023

An additional 2018 study found that each SLR takes nearly 1,200 total hours per project. This ongoing process straddles the intersection between evidence-based medicine, data science, and artificial intelligence (AI). dollars apiece.

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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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Universe of Data Science

DECEMBER 4, 2021

library(AID) data(AADT) Before we go ahead, let’s obtain descriptive statistics for each group with describe() function available in onewaytests (Dag et al., library(onewaytests) describe(aadt ~ class, data = AADT) ## n Mean Std.Dev Median Min Max 25th 75th Skewness Kurtosis NA ## rural interstate 8 18593.125 10384.748 17688.0

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Ocean Protocol

OCTOBER 8, 2024

Using historical data from the 2018–2023 Mexico Grand Prix and race data from the 2024 season, participants will analyze variables such as lap times, stint numbers, tire compounds, and pit stop timing. Click here to access the challenge and become part of our data science community.

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ODSC - Open Data Science

MARCH 6, 2024

Artificial Intelligence has made significant strides since its inception, evolving from simple algorithms to highly advanced Neural Networks capable of performing sophisticated tasks such as generating completely new content, including images, audio, and video. Interested in attending an ODSC event?

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Towards AI

JULY 19, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. Neural Magic Neural Magic has 6 repositories available. Follow their code on GitHub. SparseZoo: a model repo for sparse models. Connected Papers

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Flipboard

JULY 10, 2023

By using our mathematical notation, the entire training process of the autoencoder can be written as follows: Figure 2 demonstrates the basic architecture of an autoencoder: Figure 2: Architecture of Autoencoder (inspired by Hubens, “Deep Inside: Autoencoders,” Towards Data Science , 2018 ).

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Alation

FEBRUARY 13, 2020

After 116 years in business, legendary guitar maker Gibson filed for bankruptcy in 2018. A commitment to using data to become a customer-first organization rather than a self-described “developer-led community.”. Collaborating together, they were able to align interests and algorithms to generate a breakthrough data product.

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AWS Machine Learning Blog

MARCH 8, 2023

Manager Data Science at Marubeni Power International. SageMaker enables Marubeni to run ML and numerical optimization algorithms in a single environment. Manager Data Science at Marubeni Power International. His team applies data science and digital technologies to support Marubeni Power growth strategies.

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Mlearning.ai

JANUARY 26, 2023

Video Presentation of the B3 Project’s Data Cube. Presenters and participants had the opportunity to hear about and evaluate the pros and cons of different back end technologies and data formats for different uses such as web-mapping, data visualization, and the sharing of meta-data. 2018, July). Giuliani, G.,

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How to Learn Machine Learning

OCTOBER 10, 2024

The quality of your training data in Machine Learning (ML) can make or break your entire project. This article explores real-world cases where poor-quality data led to model failures, and what we can learn from these experiences. By the end, you’ll see why investing in quality data is not just a good idea, but a necessity.

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Pickl AI

DECEMBER 1, 2024

Example 1: Tabular Data Interpretation Consider the following table showing the number of trees planted by a government over six years: Question : What is the average number of trees planted per year from 2018 to 2023? How Do I Handle Missing Data During Interpretation?

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Women in Big Data

JUNE 3, 2024

A:It was 2018 when WiBD Munich started. I participated in the very first meeting because I was just starting out with data science and pursuing a nanodegree on the topic. A:One of the biggest challenges was getting past the HR algorithms to get interviews.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters. Each season consists of around 17,000 plays.

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IBM Journey to AI blog

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions. An open-source model, Google created BERT in 2018.

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Heartbeat

AUGUST 23, 2023

Consider a scenario where legal practitioners are armed with clever algorithms capable of analyzing, comprehending, and extracting key insights from massive collections of legal papers. Algorithms can automatically detect and extract key items. But what if there was a technique to quickly and accurately solve this language puzzle?

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Heartbeat

JANUARY 29, 2024

At its core, Meta-Learning equips algorithms with the aptitude to quickly grasp new tasks and domains based on past experiences, paving the way for unparalleled problem-solving skills and generalization abilities. Reptile is a meta-learning algorithm that falls under model-agnostic meta-learning approaches.

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Hacker News

JANUARY 9, 2024

Sometimes it’s a story of creating a superalgorithm that encapsulates decades of algorithmic development. Sometimes it’s a story of painstakingly curating data that’s never been assembled before. Talking of speedups, another example—made possible by new algorithms operating on multithreaded CPUs—concerns polynomials.

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Heartbeat

OCTOBER 18, 2023

By leveraging the power of neural networks, deep learning techniques breathe new life into recommendation algorithms, empowering them to handle complex data and surpass the limitations of their predecessors. Netflix’s movies and TV shows are recommended based on user ratings, viewing history, and platform interactions.

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