Pickl AI

DECEMBER 3, 2024

Summary: The UCI Machine Learning Repository, established in 1987, is a crucial resource for Machine Learning practitioners. It supports various learning tasks, including classification and regression, and is organised by type and domain, facilitating easy access for users worldwide.

Machine Learning 52

Machine Learning Machine Learning Clustering Supervised Learning 52

Dataconomy

APRIL 18, 2023

The basics of artificial intelligence include understanding the various subfields of AI, such as machine learning, natural language processing, computer vision, and robotics. AI systems use a combination of algorithms, machine learning techniques, and data analytics to simulate human intelligence.

Artificial Intelligence 113

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How to Learn Machine Learning

MAY 14, 2023

Embarking on a career as a Machine Learning Engineer has become increasingly popular in recent years. This is because machine learning has evolved into a driving force for various industries such as finance, healthcare, marketing, and many more. The Machine Learning Engineer Career Path 1.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Flipboard

MARCH 23, 2023

Marco Ramponi at Assembly AI: The creators have used a combination of both Supervised Learning and Reinforcement Learning to fine-tune ChatGPT, but it …

Supervised Learning 122

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AWS Machine Learning Blog

SEPTEMBER 10, 2024

As part of its goal to help people live longer, healthier lives, Genomics England is interested in facilitating more accurate identification of cancer subtypes and severity, using machine learning (ML). Table 1 shows the sample sizes for each cancer type. Overview of input data sizes across the different cancer types investigated.

Supervised Learning 95

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NYU Center for Data Science

JANUARY 25, 2024

Andrew Wilson (Associate Professor of Computer Science and Data Science) “ A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning ” by Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C.

Computer Science 73

Computer Science Computer Science Data Science Supervised Learning 73

Pickl AI

SEPTEMBER 18, 2024

Summary: Machine Learning Engineer design algorithms and models to enable systems to learn from data. Introduction Machine Learning is rapidly transforming industries. A Machine Learning Engineer plays a crucial role in this landscape, designing and implementing algorithms that drive innovation and efficiency.

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 52

Pickl AI

JULY 10, 2024

Summary: Explore a range of top AI and Machine Learning courses that cover fundamental to advanced concepts, offering hands-on projects and industry insights. Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

NYU Center for Data Science

NOVEMBER 15, 2023

The conference began in 1987 and focuses on the advancement of research in AI and machine learning. The conference will take place in-person at the New Orleans Ernest N. Morial Convention Center.

Data Science 81

Data Science Computer Science Computer Science Supervised Learning 81

AWS Machine Learning Blog

SEPTEMBER 5, 2023

In order to improve our equipment reliability, we partnered with the Amazon Machine Learning Solutions Lab to develop a custom machine learning (ML) model capable of predicting equipment issues prior to failure. Yingwei received his PhD in computer science from Texas A&M University. The remaining 8.4%

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Hacker News

MARCH 25, 2022

They’re driving a wave of advances in machine learning some have dubbed transformer AI. Transformers made self-supervised learning possible, and AI jumped to warp speed,” said NVIDIA founder and CEO Jensen Huang in his keynote address this week at GTC. A Moment for Machine Learning.

Machine Learning 182

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DrivenData Labs

JUNE 14, 2023

Self-supervision: As in the Image Similarity Challenge , all winning solutions used self-supervised learning and image augmentation (or models trained using these techniques) as the backbone of their solutions. Yi Yang is a Professor with the college of computer science and technology, Zhejiang University.

Supervised Learning 174

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NYU Center for Data Science

DECEMBER 12, 2024

NeurIPS has long been one of the most influential venues in machine learning and artificial intelligence, known for featuring work that shapes the future of thesefields.

Computer Science 46

Computer Science Computer Science Data Science Machine Learning 46

Snorkel AI

OCTOBER 31, 2023

The Snorkel papers cover a broad range of topics including fairness, semi-supervised learning, large language models (LLMs), and domain-specific models. Characterizing the Impacts of Semi-supervised Learning for Weak Supervision Li et al. fine-tuning, classic supervised learning).

Supervised Learning 59

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AWS Machine Learning Blog

OCTOBER 30, 2024

XGBoost classification XGBoost (Extreme Gradient Boosting) classification is a machine learning technique used for classification tasks. She specializes in leveraging cloud computing, machine learning, and Generative AI to help customers address complex business challenges across various industries.

Machine Learning 107

Machine Learning Machine Learning AWS Data Scientist 107

Dataconomy

APRIL 3, 2023

Artificial intelligence, commonly referred to as AI , is the field of computer science that focuses on the development of intelligent machines that can perform tasks that would typically require human intervention. ML models are designed to learn from data and make predictions or decisions based on that data.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 70

Dataconomy

APRIL 3, 2023

Artificial intelligence, commonly referred to as AI , is the field of computer science that focuses on the development of intelligent machines that can perform tasks that would typically require human intervention. ML models are designed to learn from data and make predictions or decisions based on that data.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 70

Snorkel AI

OCTOBER 31, 2023

The Snorkel papers cover a broad range of topics including fairness, semi-supervised learning, large language models (LLMs), and domain-specific models. Characterizing the Impacts of Semi-supervised Learning for Weak Supervision Li et al. fine-tuning, classic supervised learning).

Supervised Learning 52

Supervised Learning AI AI Machine Learning 52

Dataconomy

MARCH 14, 2023

In recent years, natural language processing and conversational AI have gained significant attention as technologies that are transforming the way we interact with machines and each other. These fields involve the use of machine learning and artificial intelligence to enable machines to understand, interpret, and generate human language.

Natural Language Processing 70

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Applied Data Science

MARCH 11, 2022

Our internal agents are playing games until they learn how to cooperate and trick us into believing we are an individual. Here, we are interested in the formal definition born in economics and used in computer science: In a game, two or more agents, are interacting by performing actions, which give them rewards.

AI 130

AI AI Data Science Machine Learning 130

Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. Introduction Artificial Intelligence (AI) transforms industries by enabling machines to mimic human intelligence.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Becoming Human

MARCH 16, 2023

Since the advent of deep learning in the 2000s, AI applications in healthcare have expanded. Machine Learning Machine learning (ML) focuses on training computer algorithms to learn from data and improve their performance, without being explicitly programmed.

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Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. There are several types of AI algorithms, including supervised learning, unsupervised learning, and reinforcement learning.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

Snorkel AI

MARCH 1, 2023

Foundation Models (FMs), such as GPT-3 and Stable Diffusion, mark the beginning of a new era in machine learning and artificial intelligence. Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning?

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Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. By understanding crucial concepts like Machine Learning, Data Mining, and Predictive Modelling, analysts can communicate effectively, collaborate with cross-functional teams, and make informed decisions that drive business success.

Data Analyst 52

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Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

Machine Learning 52

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Pickl AI

JANUARY 12, 2023

Data Science and Machine Learning Bootcamp by Udemy Working professionals can also benefit from the Data Science and Machine Learning Bootcamp by Udemy. Data Science and Machine Learning by Udacity Yet another course that is perfect for working professionals is by Udacity.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

AUGUST 1, 2024

This blog covers their job roles, essential tools and frameworks, diverse applications, challenges faced in the field, and future directions, highlighting their critical contributions to the advancement of Artificial Intelligence and machine learning. Insufficient or low-quality data can lead to poor model performance and overfitting.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 23, 2024

Understanding Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines principles from statistics, mathematics, computer science, and domain-specific knowledge to analyse and interpret complex data.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

PyImageSearch

SEPTEMBER 16, 2024

Algorithms for Anomaly Detection We can divide anomaly detection algorithms ( Figure 5 ) into the following: statistical methods machine learning methods proximity-based methods ensemble methods Figure 5: Algorithms for detecting anomalies (source: Medium ). Supervised Learning These methods require labeled data to train the model.

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Clustering Algorithm Machine Learning Machine Learning 56

Pickl AI

APRIL 10, 2023

Data Science Course If you are looking for one of the best Data Science courses in India on an online forum, then Pickl.AI It offers an immersive learning experience that is a blend of conceptual and practical expertise. All in all, by completing the course, you will be a master of all the key Data Science tools and techniques.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Hacker News

FEBRUARY 14, 2023

And—as we’ll discuss later—these weights are normally determined by “training” the neural net using machine learning from examples of the outputs we want.) Well, here’s what it computes: It’s not quite “right” , but it’s close to the “nearest point” function we showed above.

Machine Learning 182

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ODSC - Open Data Science

FEBRUARY 14, 2023

The model was fine-tuned to reduce false, harmful, or biased output using a combination of supervised learning in conjunction to what OpenAI calls Reinforcement Learning with Human Feedback (RLHF), where humans rank potential outputs and a reinforcement learning algorithm rewards the model for generating outputs like those that rank highly.

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AssemblyAI

NOVEMBER 21, 2022

This yields a large list of tensor-factorization pairs that can be used for supervised learning. In fact, AlphaTensor's neural network employs a mixed training strategy : training at once on the target tensor with a standard reinforcement learning loss and on random tensors with a supervised loss.

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Machine Learning (Theory)

APRIL 23, 2021

Welcome to ALT Highlights, a series of blog posts spotlighting various happenings at the recent conference ALT 2021 , including plenary talks, tutorials, trends in learning theory, and more! To reach a broad audience, the series will be disseminated as guest posts on different blogs in machine learning and theoretical computer science.

Computer Science 130

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AWS Machine Learning Blog

AUGUST 7, 2023

As opposed to training a model from scratch with task-specific data, which is the usual case for classical supervised learning, LLMs are pre-trained to extract general knowledge from a broad text dataset before being adapted to specific tasks or domains with a much smaller dataset (typically on the order of hundreds of samples).

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Pickl AI

APRIL 2, 2024

Data science is the process of extracting the valuable minerals – the insights – that can transform your business. It’s a blend of statistics, computer science, and domain knowledge used to extract knowledge and create solutions from data. Data science for business leaders isn’t about becoming a coding pro.

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Data Science Machine Learning Machine Learning Predictive Analytics 52