Smart Data Collective

JULY 1, 2023

AI has undoubtedly changed the quality of art as new tools like MidJourney become more popular. Of course, the proliferation of AI art has light to some confusion with intellectual property laws , but it has otherwise been a net positive. However, there are other ways that AI is changing the future of digital media.

Cross Validation 93

Cross Validation AI AI Machine Learning 93

DrivenData Labs

JANUARY 22, 2025

Final Stage Overall Prizes where models were rigorously evaluated with cross-validation and model reports were judged by a panel of experts. The cross-validations for all winners were reproduced by the DrivenData team. Lower is better. Unsurprisingly, the 0.10 quantile was easier to predict than the 0.90

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Cross Validation Machine Learning Machine Learning ML 147

Pickl AI

MARCH 26, 2024

Summary: The KNN algorithm in machine learning presents advantages, like simplicity and versatility, and challenges, including computational burden and interpretability issues. Unlocking the Power of KNN Algorithm in Machine Learning Machine learning algorithms are significantly impacting diverse fields.

K-nearest Neighbors 52

K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Pickl AI

AUGUST 8, 2024

Summary: Support Vector Machine (SVM) is a supervised Machine Learning algorithm used for classification and regression tasks. Among the many algorithms, the SVM algorithm in Machine Learning stands out for its accuracy and effectiveness in classification tasks. What is the SVM Algorithm in Machine Learning?

Machine Learning 52

Machine Learning Machine Learning Algorithm Support Vector Machines 52

NYU Center for Data Science

AUGUST 2, 2023

He received his PhD in Electrical Engineering from Stanford University, completing a dissertation on the “ Approximate message passing algorithms for compressed sensing.” Prior to his work at Columbia, Arian was a postdoctoral scholar at Rice University. He has taught various calculus and statistics courses from PhD to BSc levels.

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Cross Validation Machine Learning Machine Learning Artificial Intelligence 91

ODSC - Open Data Science

OCTOBER 24, 2023

Then, how to essentially eliminate training, thus speeding up algorithms by several orders of magnitude? The full details are in my new book “Statistical Optimization for Generative AI and Machine Learning”, available here. Indeed, the whole technique epitomizes explainable AI. I provide a brief overview only.

Data Science 98

Data Science Cross Validation Algorithm Machine Learning 98

Flipboard

FEBRUARY 2, 2023

Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season. To avoid leakage during cross-validation, we grouped all plays from the same game into the same fold. For more information on how to use GluonTS SBP, see the following demo notebook.

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Cross Validation ML ML Machine Learning 123

Dataconomy

JUNE 29, 2023

Python machine learning packages have emerged as the go-to choice for implementing and working with machine learning algorithms. The field of machine learning, known for its algorithmic complexity, has undergone a significant transformation in recent years. Why do you need Python machine learning packages?

Machine Learning 113

Machine Learning Machine Learning Deep Learning Deep Learning 113

Ocean Protocol

FEBRUARY 2, 2023

Indeed, the most robust predictive trading algorithms use machine learning (ML) techniques. On the optimistic side, algorithmically trading assets with predictive ML models can yield enormous gains à la Renaissance Technologies… Yet algorithmic trading gone awry can yield enormous losses as in the latest FTX scandal. Easy peasy.

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Cross Validation Algorithm ML ML 52

Mlearning.ai

FEBRUARY 10, 2024

Unlocking Predictive Power: How Bayes’ Theorem Fuels Naive Bayes Algorithm to Solve Real-World Problems [link] Introduction In the constantly shifting realm of machine learning, we can see that many intricate algorithms are rooted in the fundamental principles of statistics and probability. Take the Naive Bayes algorithm, for example.

Algorithm 52

Algorithm Decision Trees Cross Validation Machine Learning 52

DrivenData Labs

MAY 22, 2024

Gradient-boosted trees were popular modeling algorithms among the teams that submitted model reports, including the first- and third-place winners. Also, I have 10 years of experience with C++ cross-platform development, especially in the medical imaging domain, and for embedded solutions. Specialises in the CV and generative AI.

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Cross Validation Machine Learning Machine Learning ML 130

Mlearning.ai

SEPTEMBER 24, 2023

A brute-force search is a general problem-solving technique and algorithm paradigm. Figure 1: Brute Force Search It is a cross-validation technique. Figure 2: K-fold Cross Validation On the one hand, it is quite simple. Big O notation is a mathematical concept to describe the complexity of algorithms.

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Cross Validation Algorithm Supervised Learning Python 52

DataRobot

DECEMBER 20, 2021

The value of AI these days is undeniable. it’s possible to build a robust image recognition algorithm with high accuracy. AI technology is playing a massive part in the 4th industrial revolution and spread across most organizations. DataRobot Visual AI. In 2020, our team launched DataRobot Visual AI.

Clustering 97

Clustering Deep Learning Deep Learning Exploratory Data Analysis 97

Ocean Protocol

NOVEMBER 28, 2024

Using innovative approaches and advanced algorithms, participants modeled scenarios accounting for starting grid positions, driver performance, and unpredictable race conditions like weather changes or mid-race interruptions. Firepig refined predictions using detailed feature engineering and cross-validation.

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Cross Validation Decision Trees Data Scientist Data Science 85

Pickl AI

DECEMBER 16, 2024

Summary: AI in Time Series Forecasting revolutionizes predictive analytics by leveraging advanced algorithms to identify patterns and trends in temporal data. By automating complex forecasting processes, AI significantly improves accuracy and efficiency in various applications. What is Time Series Forecasting?

AI 52

AI AI Machine Learning Machine Learning 52

Mlearning.ai

JULY 6, 2023

AI-generated image ( craiyon ) In machine learning (ML), a hyperparameter is a parameter whose value is given by the user and used to control the learning process. This is in contrast to other parameters, whose values are obtained algorithmically via training. Moreover, my experience has shown it to be fairly easy to set up.

Machine Learning 52

Machine Learning Machine Learning Algorithm ML 52

DrivenData Labs

MAY 24, 2023

Several additional approaches were attempted but deprioritized or entirely eliminated from the final workflow due to lack of positive impact on the validation MAE. We chose to compete in this challenge primarily to gain experience in the implementation of machine learning algorithms for data science.

Machine Learning 225

Machine Learning Machine Learning Data Science Decision Trees 225

Pickl AI

JULY 12, 2024

Introduction Artificial Intelligence (AI) transforms industries by enabling machines to mimic human intelligence. Python’s simplicity, versatility, and extensive library support make it the go-to language for AI development. Python is renowned for its simplicity and versatility, making it an ideal choice for AI applications.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

JANUARY 28, 2025

Use cross-validation and regularisation to prevent overfitting and pick an appropriate polynomial degree. You can detect and mitigate overfitting by using cross-validation, regularisation, or carefully limiting polynomial degrees. It offers flexibility for capturing complex trends while remaining interpretable.

Cross Validation 52

Cross Validation Machine Learning Machine Learning Data Preparation 52

Pickl AI

JANUARY 8, 2025

RFE works effectively with algorithms like Support Vector Machines (SVMs) and linear regression. Embedded Methods Embedded methods integrate feature selection directly into the training process of the Machine Learning algorithm. However, they are model-dependent, which can limit their applicability across different algorithms.

Machine Learning 52

Machine Learning Machine Learning Cross Validation Support Vector Machines 52

Pickl AI

DECEMBER 10, 2024

Introduction Hyperparameters in Machine Learning play a crucial role in shaping the behaviour of algorithms and directly influence model performance. Understanding these model-specific hyperparameters helps practitioners focus on the most important settings for a given algorithm.

Machine Learning 52

Machine Learning Machine Learning Cross Validation Decision Trees 52

Pickl AI

FEBRUARY 12, 2024

Technical Proficiency Data Science interviews typically evaluate candidates on a myriad of technical skills spanning programming languages, statistical analysis, Machine Learning algorithms, and data manipulation techniques. Differentiate between supervised and unsupervised learning algorithms.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

JANUARY 3, 2024

Feature engineering in machine learning is a pivotal process that transforms raw data into a format comprehensible to algorithms. EDA, imputation, encoding, scaling, extraction, outlier handling, and cross-validation ensure robust models. What is Feature Engineering?

Machine Learning 52

Machine Learning Machine Learning Exploratory Data Analysis Cross Validation 52

Pickl AI

NOVEMBER 28, 2024

Summary: The blog discusses essential skills for Machine Learning Engineer, emphasising the importance of programming, mathematics, and algorithm knowledge. Understanding Machine Learning algorithms and effective data handling are also critical for success in the field. Below, we explore some of the most widely used algorithms in ML.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

DrivenData Labs

APRIL 10, 2024

In the Kelp Wanted challenge, participants were called upon to develop algorithms to help map and monitor kelp forests. Winning algorithms will not only advance scientific understanding, but also equip kelp forest managers and policymakers with vital tools to safeguard these vulnerable and vital ecosystems. A data geek by heart.

Deep Learning 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

Pickl AI

NOVEMBER 18, 2024

Key steps involve problem definition, data preparation, and algorithm selection. Basics of Machine Learning Machine Learning is a subset of Artificial Intelligence (AI) that allows systems to learn from data, improve from experience, and make predictions or decisions without being explicitly programmed.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Algorithm 52

AWS Machine Learning Blog

DECEMBER 13, 2024

Were using Bayesian optimization for hyperparameter tuning and cross-validation to reduce overfitting. One benefit of this step is the ability to use built-in algorithms for common data transformations and automatic scaling of resources. This helps make sure that the clustering is accurate and relevant.

ML 96

ML ML Clustering AWS 96

DagsHub

JUNE 3, 2024

Image Credits: The New York Times Read more: [link] In another 2018 story , Amazon was found to show bias toward male candidates in the recruitment process because of an issue with their AI-powered HR recruiting tool. Additionally, some algorithms don’t perform well with a high number of features, while some do.

Machine Learning 52

Machine Learning Machine Learning Decision Trees ML 52

Pickl AI

JULY 26, 2023

K-Nearest Neighbors with Small k I n the k-nearest neighbours algorithm, choosing a small value of k can lead to high variance. To mitigate variance in machine learning, techniques like regularization, cross-validation, early stopping, and using more diverse and balanced datasets can be employed.

Machine Learning 52

Machine Learning Machine Learning Cross Validation Decision Trees 52

Data Science Dojo

AUGUST 24, 2023

MLOps emphasizes the need for continuous integration and continuous deployment (CI/CD) in the ML workflow, ensuring that models are updated in real-time to reflect changes in data or ML algorithms. Examples include: Cross-validation techniques for better model evaluation. Best practices for MLOps implementations.

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Machine Learning Machine Learning ML ML 195

Pickl AI

SEPTEMBER 18, 2024

Summary: Machine Learning Engineer design algorithms and models to enable systems to learn from data. A Machine Learning Engineer plays a crucial role in this landscape, designing and implementing algorithms that drive innovation and efficiency. In finance, they build models for risk assessment or algorithmic trading.

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 52

Pickl AI

MAY 17, 2023

However, while working on a Machine Learning algorithm , one may come across the problem of underfitting or overfitting. K-fold Cross Validation ML experts use cross-validation to resolve the issue. As a part of this course, you will learn in-depth about the concepts of Data science, Machine Learning and AI.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

SEPTEMBER 19, 2024

Summary: Explore the importance of prompt tuning in enhancing AI model performance. This article covers key techniques, including manual design and adaptive tuning, to optimise prompts for accurate and efficient AI outputs. Learn how to refine prompts to boost AI accuracy and effectiveness across various applications.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

DECEMBER 12, 2024

Summary: XGBoost is a highly efficient and scalable Machine Learning algorithm. Key Features of XGBoost XGBoost (eXtreme Gradient Boosting) has earned its reputation as a powerful and efficient Machine Learning algorithm. It combines gradient boosting with features like regularisation, parallel processing, and missing data handling.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Pickl AI

SEPTEMBER 17, 2024

Understanding these questions will equip aspiring AI professionals with the knowledge needed to excel in interviews and navigate the evolving AI landscape. As the technology continues to evolve, it is crucial for aspiring AI practitioners to stay up-to-date with the latest trends, concepts, and best practices.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 19, 2025

Algorithms like AdaBoost, XGBoost, and LightGBM power real-world finance, healthcare, and NLP applications. Despite computational costs, Boosting remains vital for handling complex data and optimising AI models for high-performance decision-making. This blog explores how Boosting works and its popular algorithms.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Algorithm 52

Heartbeat

OCTOBER 23, 2023

The Role of Data Scientists and ML Engineers in Health Informatics At the heart of the Age of Health Informatics are data scientists and ML engineers who play a critical role in harnessing the power of data and developing intelligent algorithms.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52