ODSC - Open Data Science

JANUARY 7, 2025

Just as a writer needs to know core skills like sentence structure and grammar, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and soon. Theyre looking for people who know all related skills, and have studied computer science and software engineering.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

Data Science 52

Data Science ML ML Machine Learning 52

PyImageSearch

NOVEMBER 13, 2023

One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al. Since then, the R-CNN algorithm has gone through numerous iterations, improving the algorithm with each new publication and outperforming traditional object detection algorithms (e.g.,

Deep Learning 114

Deep Learning Deep Learning Algorithm Support Vector Machines 114

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

Machine Learning Machine Learning Data Scientist Algorithm 52

Pickl AI

JULY 12, 2024

Their interactive nature makes them suitable for experimenting with AI algorithms and analysing data. Here are a few of the key concepts that you should know: Machine Learning (ML) This is a type of AI that allows computers to learn without being explicitly programmed.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Dataconomy

FEBRUARY 24, 2023

Choose the appropriate algorithm: Select the AI algorithm that best suits the problem you want to solve. Several algorithms are available, including decision trees, neural networks, and support vector machines. This involves feeding the algorithm with data and tweaking it to improve its accuracy.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence AI AI 91

Flipboard

JULY 31, 2023

Importance and Role of Datasets in Machine Learning Data is king. Algorithms are important and require expert knowledge to develop and refine, but they would be useless without data. Datasets are to machine learning what fuel is to a car: they power the entire process.

Machine Learning 123

Machine Learning Machine Learning Deep Learning Deep Learning 123

PyImageSearch

SEPTEMBER 16, 2024

Home Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? Jump Right To The Downloads Section Understanding Anomaly Detection: Concepts, Types, and Algorithms What Is Anomaly Detection? Looking for the source code to this post?

Clustering 55

Clustering Algorithm Machine Learning Machine Learning 55

Pickl AI

SEPTEMBER 12, 2024

Basic Data Science Terms Familiarity with key concepts also fosters confidence when presenting findings to stakeholders. Below is an alphabetical list of essential Data Science terms that every Data Analyst should know. Anomaly Detection: Identifying unusual patterns or outliers in data that do not conform to expected behaviour.

Data Analyst 52

Data Analyst Data Science 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. Data Science helps organisations make informed decisions by transforming raw data into valuable information.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

PyImageSearch

JANUARY 2, 2023

Machine learning algorithms can also recognize patterns in DNA sequences and predict a patient’s probability of developing an illness. These algorithms can design potential drug therapies, identify genetic causes of disease, and help understand the mechanisms underlying gene expression.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module. The following figure illustrates the F1 scores for each class plotted against the number of neighbors (k) used in the k-NN algorithm. The SVM algorithm requires the tuning of several parameters to achieve optimal performance.

Algorithm 73

Algorithm Machine Learning Machine Learning K-nearest Neighbors 73