Data Science Dojo

JULY 15, 2024

Support Vector Machines (SVM): This algorithm finds a hyperplane that best separates data points of different classes in high-dimensional space. Anomaly Detection Anomaly detection, like noticing a misspelled word in an essay, equips machine learning models to identify data points that deviate significantly from the norm.

Machine Learning 307

Machine Learning Machine Learning Algorithm Clustering 307

Heartbeat

OCTOBER 23, 2023

By analyzing historical data and utilizing predictive machine learning algorithms like BERT, ARIMA, Markov Chain Analysis, Principal Component Analysis, and Support Vector Machine, they can assess the likelihood of adverse events, such as hospital readmissions, and stratify patients based on risk profiles.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

Heartbeat

JUNE 14, 2023

Support vector machine classifiers as applied to AVIRIS data.” 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. PMLR, 2017. [2]

Deep Learning 59

Deep Learning Deep Learning Support Vector Machines Machine Learning 59

Pickl AI

AUGUST 9, 2024

Students should understand the concepts of event-driven architecture and stream processing. Students should learn how to leverage Machine Learning algorithms to extract insights from large datasets. Model Evaluation Techniques for evaluating machine learning models, including cross-validation, confusion matrix, and performance metrics.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Mlearning.ai

MAY 23, 2023

Another example can be the algorithm of a support vector machine. Hence, we have various classification algorithms in machine learning like logistic regression, support vector machine, decision trees, Naive Bayes classifier, etc. What are Support Vectors in SVM (Support Vector Machine)?

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Pickl AI

OCTOBER 15, 2024

They identify patterns in existing data and use them to predict unknown events. In more complex cases, you may need to explore non-linear models like decision trees, support vector machines, or time series models. Predictive Models Predictive models are designed to forecast future outcomes based on historical data.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52

Pickl AI

SEPTEMBER 12, 2024

Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities. Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52