Pickl AI

MAY 24, 2023

To help you understand Python Libraries better, the blog will explain a Python Libraries for Data Science List which you can learn about. This may include for instance in Machine Learning, Data Science, Data Visualisation, image and Data Manipulation. What is a Python Library?

Data Science 52

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DrivenData Labs

JANUARY 11, 2023

The results of this GCMS challenge could not only support NASA scientists to more quickly analyze data, but is also a proof-of-concept of the use of data science and machine learning techniques on complex GCMS data for future missions. All winners who used deep learning fine-tuned pre-trained models.

Deep Learning 130

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Data Science Dojo

AUGUST 24, 2023

When the ML lifecycle is not properly streamlined with MLOps, organizations face issues such as inconsistent results due to varying data quality, slower deployment as manual processes become bottlenecks, and difficulty maintaining and updating models rapidly enough to react to changing business conditions.

Machine Learning 195

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DrivenData Labs

APRIL 10, 2024

Model architectures : All four winners created ensembles of deep learning models and relied on some combination of UNet, ConvNext, and SWIN architectures. In the modeling phase, XGBoost predictions serve as features for subsequent deep learning models. Test-time augmentations were used with mixed results.

Deep Learning 130

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DrivenData Labs

MARCH 28, 2023

I am involved in an educational program where I teach machine and deep learning courses. Machine learning is my passion and I often take part in competitions. I (Hongwei Fan) am a PhD student affiliated with the Data Science Institute, Imperial College London. What motivated you to compete in this challenge?

Machine Learning 130

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Towards AI

AUGUST 11, 2023

Traditionally, tabular data has been used for simply organizing and reporting information. However, over the past decade, its usage has evolved significantly due to several key factors: Kaggle Competitions: Kaggle emerged in 2010 [1] and popularized data science and machine learning competitions using real-world tabular datasets.

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Data Science Dojo

JULY 15, 2024

Technical Approaches: Several techniques can be used to assess row importance, each with its own advantages and limitations: Leave-One-Out (LOO) Cross-Validation: This method retrains the model leaving out each data point one at a time and observes the change in model performance (e.g., accuracy).

Machine Learning 307

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Mlearning.ai

FEBRUARY 15, 2024

Data Science Project — Predictive Modeling on Biological Data Part III — A step-by-step guide on how to design a ML modeling pipeline with scikit-learn Functions. Photo by Unsplash Earlier we saw how to collect the data and how to perform exploratory data analysis. Now comes the exciting part ….

Data Science 52

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Heartbeat

FEBRUARY 20, 2023

First-time project and model registration Photo by Isaac Smith on Unsplash The world of machine learning and data science is awash with technicalities. Model Extraction and Registration For the first version, I want to fit a KNeighborsClassifier to fit the data. We pay our contributors, and we don’t sell ads.

Cross Validation 87

Cross Validation ML ML Machine Learning 87

AWS Machine Learning Blog

FEBRUARY 25, 2025

To determine the best parameter values, we conducted a grid search with 10-fold cross-validation, using the F1 multi-class score as the evaluation metric. For the classifier, we employ SVM, using the scikit-learn Python module. Diego Martn Montoro is an AI Expert and Machine Learning Engineer at Applus+ Idiada Datalab.

Algorithm 95

Algorithm Machine Learning Machine Learning K-nearest Neighbors 95

Pickl AI

NOVEMBER 2, 2023

It serves as a handy quick-reference tool to assist data professionals in their work, aiding in data interpretation, modeling , and decision-making processes. In the fast-paced world of Data Science, having quick and easy access to essential information is invaluable when using a repository of Cheat sheets for Data Scientists.

Data Scientist 52

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Heartbeat

OCTOBER 31, 2023

Cross-validation is recommended as best practice to provide reliable results because of this. Editor's Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners.

Decision Trees 52

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Pickl AI

NOVEMBER 28, 2024

For example, in neural networks, data is represented as matrices, and operations like matrix multiplication transform inputs through layers, adjusting weights during training. Without linear algebra, understanding the mechanics of Deep Learning and optimisation would be nearly impossible.

Machine Learning 52

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Mlearning.ai

FEBRUARY 10, 2023

For example, if you are using regularization such as L2 regularization or dropout with your deep learning model that performs well on your hold-out-cross-validation set, then increasing the model size won’t hurt performance, it will stay the same or improve. The only drawback of using a bigger model is computational cost.

Machine Learning 52

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Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

Heartbeat

MARCH 27, 2023

Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. We’re committed to supporting and inspiring developers and engineers from all walks of life.

Machine Learning 52

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Heartbeat

JUNE 14, 2023

Measuring Calibration in Deep Learning. Cross Validated] Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. 10] Nixon, Jeremy, et al.

Deep Learning 59

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Heartbeat

MAY 29, 2023

Hyperparameters are the configuration variables of a machine learning algorithm that are set prior to training, such as learning rate, number of hidden layers, number of neurons per layer, regularization parameter, and batch size, among others.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

Heartbeat

DECEMBER 19, 2023

With the advent of Deep Learning, recommender systems have seen significant advancements. Editor's Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners.

Deep Learning 52

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Pickl AI

DECEMBER 12, 2024

This adaptability enables the algorithm to cater to specific problem requirements, making it a versatile tool for various Machine Learning tasks. These features collectively make XGBoost a robust, high-performance tool for modern Data Science challenges.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Pickl AI

DECEMBER 10, 2024

Image Data Image features involve identifying visual patterns like edges, shapes, or textures. Methods like Histogram of Oriented Gradients (HOG) or Deep Learning models, particularly Convolutional Neural Networks (CNNs), effectively extract meaningful representations from images.

Machine Learning 52

Machine Learning Machine Learning Algorithm Deep Learning 52

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. Haibo Ding is a senior applied scientist at Amazon Machine Learning Solutions Lab. He is broadly interested in Deep Learning and Natural Language Processing.

ML 100

ML ML Machine Learning Machine Learning 100

Pickl AI

AUGUST 9, 2024

Students should understand how to identify patterns in unlabeled data. Deep Learning An introduction to deep learning concepts and frameworks like TensorFlow and PyTorch, focusing on their applications in processing large datasets. Students should learn about neural networks and their architecture.

Big Data 52

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Pickl AI

SEPTEMBER 18, 2024

Academic Background A strong academic foundation is essential for anyone aspiring to become a Machine Learning Engineer. Most professionals in this field start with a bachelor’s degree in computer science, Data Science, mathematics, or a related discipline. Pursuing a master’s or even a Ph.D. Platforms like Pickl.AI

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 52

Pickl AI

APRIL 26, 2024

Overfitting occurs when a model learns the training data too well, including noise and irrelevant patterns, leading to poor performance on unseen data. Techniques such as cross-validation, regularisation , and feature selection can prevent overfitting. Lifetime access to updated learning materials.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Mlearning.ai

JUNE 27, 2023

The optimal value for K can be found using ideas like Cross Validation (CV). In K-Means clustering, the parameter K represents the number of clusters, and it is a hyper parameter that needs to be determined. K = 3 ; 3 Clusters. K = No of clusters. Geometrically, K-Means clustering involves assigning centroids to groups of points.

Clustering 52

Clustering Algorithm Data Analyst Machine Learning 52

DrivenData Labs

MAY 1, 2025

Our professional work involves processing and analyzing medical data, particularly focusing on image and audio data. Beyond our primary roles, we are enthusiastic participants in data science competitions and have achieved multiple victories in these contests. Fangjing Wu is a data science master's student.

Decision Trees 147

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Mlearning.ai

FEBRUARY 2, 2023

This is very unfortunate because these models would have benefited from being tested, tweaked and benchmarked by the large data science community outside of the hospitals. The use of Jupyter Notebooks was done in order to make it possible to train and validate the models on Google Colab in order to get access to free GPUs.

Cross Validation 52

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How to Learn Machine Learning

MAY 21, 2025

random_state=42) # Train a base classifier base_clf = LogisticRegression(C=1.0)

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Machine Learning Machine Learning Cross Validation Python 64