NYU Center for Data Science

NOVEMBER 15, 2023

Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, *Omar Mahmood (PhD alumnus), Andrew Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi “A Logic for Expressing Log-Precision Transformers” : *William Merrill (PhD student), Ashish Sabharwal “A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks” : Vignesh Kothapalli, Tom (..)

Data Science 77

Data Science Computer Science Computer Science Supervised Learning 77

Data Science Dojo

JUNE 1, 2023

The course covers topics such as supervised learning, unsupervised learning, and reinforcement learning. Machine Learning with Python by Andrew Ng This is an intermediate-level course that teaches you more advanced machine-learning concepts using Python.

Machine Learning 195

Machine Learning Machine Learning Natural Language Processing Deep Learning 195

Heartbeat

AUGUST 29, 2023

Deep learning is a branch of machine learning that makes use of neural networks with numerous layers to discover intricate data patterns. Deep learning models use artificial neural networks to learn from data. The training data is labeled.

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Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

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Heartbeat

OCTOBER 11, 2023

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. What is Deep Learning?

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Analytics Vidhya

JULY 13, 2022

This article was published as a part of the Data Science Blogathon. Where our task will be to take brain MR images as input and utilize them with deep learning for automatic brain segmentation matured to a level […]. Introduction In this blog, we will try to solve a famously discussed task of Brain MRI segmentation.

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Data Science Dojo

MAY 27, 2024

A visual representation of discriminative AI – Source: Analytics Vidhya Discriminative modeling, often linked with supervised learning, works on categorizing existing data. This capability makes it well-suited for scenarios where labeled data is scarce or unavailable.

K-nearest Neighbors 338

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Mlearning.ai

DECEMBER 13, 2023

Mastering Deep Learning and AI Interview Questions: What You Need to Know Image created by the author on Canva Knowledge is power, but enthusiasm pulls the switch.” Ever wondered what it takes to excel in deep learning interviews? Explain how you would implement transfer learning in a deep learning model.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Data Science 52

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 80

Machine Learning Machine Learning Data Science Big Data 80

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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Data Science Dojo

APRIL 29, 2024

Here’s a simple explanation of how it works and how it can be applied: How Generative AI Works: Learning from Data : Generative AI begins by analyzing large datasets through a process known as deep learning, which involves neural networks. Training: This involves teaching AI models to understand and create data outputs.

AI 539

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Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Data Science skills that will help you excel professionally.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Becoming Human

MAY 15, 2023

Data Science is a popular as well as vast field; till date, there are a lot of opportunities in this field, and most people, whether they are working professionals or students, everyone want a transition in data science because of its scope. How much to learn? What to do next?

Data Science 75

Data Science Machine Learning Machine Learning Database 75

IBM Journey to AI blog

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning.

Data Science 75

Data Science Machine Learning Machine Learning ML 75

Data Science Blog

MARCH 14, 2023

Big Data wurde für viele Unternehmen der traditionellen Industrie zur Enttäuschung, zum falschen Versprechen. Datenqualität hingegen, wurde zum wichtigen Faktor jeder Unternehmensbewertung, was Themen wie Reporting, Data Governance und schließlich dann das Data Engineering mehr noch anschob als die Data Science.

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Big Data Big Data Apache Hadoop Data Science 147

Heartbeat

FEBRUARY 28, 2023

The past few years have witnessed exponential growth in medical image analysis using deep learning. In this article we will look into medical image segmentation and see how deep learning can be helpful in these cases. This can be further classified as supervised and unsupervised learning. Image by author.

Deep Learning 52

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Pickl AI

JANUARY 12, 2023

Due to the growing application of Data Science in different industries, companies are now looking forward to hiring individuals and training their employees on newer technologies that can eventually help the organization attain its goals. Best Data Science courses for working professionals 1.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

NYU Center for Data Science

JANUARY 25, 2024

In the world of data science, few events garner as much attention and excitement as the annual Neural Information Processing Systems (NeurIPS) conference. 2023’s event, held in New Orleans in December, was no exception, showcasing groundbreaking research from around the globe.

Computer Science 69

Computer Science Computer Science Data Science Supervised Learning 69

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

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Towards AI

APRIL 7, 2024

With the emergence of ARCGISpro which will replace ArcMap by 2026 mainly focusing on data science and machine learning, all the signs that machine learning is the future of GIS and you might have to learn some principles of data science, but where do you start, let us have a look.

Machine Learning 82

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 82

NYU Center for Data Science

MAY 31, 2023

CDS Assistant Professor/Faculty Fellow Jacopo Cirrone discusses his work harnessing data science in medical image analysis CDS Assistant Professor/Faculty Fellow, Dr. Jacopo Cirrone Medical image analysis has significantly benefited in recent years from machine learning-based modeling tools.

Machine Learning 63

Machine Learning Machine Learning Deep Learning Deep Learning 63

ODSC - Open Data Science

JULY 26, 2023

There are three main types of machine learning : supervised learning, unsupervised learning, and reinforcement learning. Supervised Learning In supervised learning, the algorithm is trained on a labelled dataset containing input-output pairs. predicting house prices).

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Analytics Vidhya

DECEMBER 25, 2022

Introduction There have been many recent advances in natural language processing (NLP), including improvements in language models, better representation of the linguistic structure, advancements in machine translation, increased use of deep learning, and greater use of transfer learning.

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IBM Journey to AI blog

DECEMBER 20, 2023

What is machine learning? ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Here, we’ll discuss the five major types and their applications. temperature, salary).

Machine Learning 97

Machine Learning Machine Learning Supervised Learning Clustering 97

ODSC - Open Data Science

JULY 12, 2024

The fields of AI and data science are changing rapidly and ODSC West 2024 is evolving to ensure we keep you at the forefront of the industry with our all-new tracks, AI Agents , What’s Next in AI, and AI in Robotics , and our updated tracks NLP, NLU, and NLG , and Multimodal and Deep Learning , and LLMs and RAG.

Deep Learning 40

Deep Learning Deep Learning Data Science Natural Language Processing 40

Mlearning.ai

AUGUST 6, 2023

To start off my journey in Medium, I will write a post on something which many students and even relatives have asked me: “ How did I end up teaching data science when I had majored in Engineering ?” I also started on my data science journey by attending the Coursera specialization by Andrew Ng —  Deep Learning.

Data Science 52

Data Science Machine Learning Machine Learning ML 52

IBM Journey to AI blog

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Machine Learning 91

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 91

ODSC - Open Data Science

AUGUST 10, 2023

This perspective amalgamates language understanding and future prediction into a formidable self-supervised learning objective. You’ll get that at the ODSC West 2023 Deep Learning & Machine Learning Track. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Supervised Learning 52

Supervised Learning Data Science Machine Learning Machine Learning 52

Pickl AI

JULY 10, 2024

Additionally, both AI and ML require large amounts of data to train and refine their models, and they often use similar tools and techniques, such as neural networks and deep learning. Inspired by the human brain, neural networks are crucial for deep learning, a subset of ML that deals with large, complex datasets.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

ODSC - Open Data Science

MAY 1, 2023

Given they’re built on deep learning models, LLMs require extraordinary amounts of data. Regardless of where this data came from, managing it can be difficult. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Data Scientist 97

Data Scientist Data Science Supervised Learning AI 97

Dataconomy

AUGUST 22, 2024

In this interview, Aleksandr shares his unique experiences of leading groundbreaking projects in Computer Vision and Data Science at the Petronas global energy group (Malaysia). Please tell our readers about your background and how you got into Data Science and Machine Learning? Hello Aleksandr.

ML 91

ML ML Machine Learning Machine Learning 91

How to Learn Machine Learning

MAY 14, 2023

Acquiring Essential Machine Learning Knowledge Once you have a strong foundation in mathematics and programming, it’s time to dive into the world of machine learning. Additionally, you should familiarize yourself with essential machine learning concepts such as feature engineering, model evaluation, and hyperparameter tuning.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Towards AI

AUGUST 29, 2023

Introducing the backbone of Reinforcement Learning — The Markov Decision Process This member-only story is on us. Image by Ricardo Gomez Angel on Unsplash In most of my previous articles, I have mostly discussed Supervised Learning, with some sprinkling of elements of Unsupervised Learning.

Supervised Learning 81

Supervised Learning Machine Learning Machine Learning AI 81

Data Science Dojo

JULY 2, 2024

Machine Learning Algorithms : These algorithms allow AI systems to learn from data and make predictions or decisions based on their learning. Machine learning is categorized into three main types: Supervised Learning : This is where the system receives labeled data and learns to map input data to known outputs.

AI 195

AI AI Algorithm Machine Learning 195

Pickl AI

OCTOBER 2, 2024

Summary: Artificial Intelligence (AI) is revolutionising Genomic Analysis by enhancing accuracy, efficiency, and data integration. Techniques such as Machine Learning and Deep Learning enable better variant interpretation, disease prediction, and personalised medicine.

AI 52

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Pickl AI

SEPTEMBER 10, 2024

Despite its limitations, the Perceptron laid the groundwork for more complex neural networks and Deep Learning advancements. Introduction The Perceptron is one of the foundational concepts in Artificial Intelligence and Machine Learning.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 22, 2023

A recent report by Cloudfactory found that human annotators have an error rate between 7–80% when labeling data (depending on task difficulty and how much annotators are paid). Previously, he was a senior scientist at Amazon Web Services developing AutoML and Deep Learning algorithms that now power ML applications at hundreds of companies.

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