AWS Machine Learning Blog

FEBRUARY 5, 2024

SageMaker geospatial capabilities make it easy for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data. Incorporating ML with geospatial data enhances the capability to detect anomalies and unusual patterns systematically, which is essential for early warning systems.

ML 111

ML ML AWS Analytics 111

How to Learn Machine Learning

JUNE 9, 2024

Today, we see tools and systems with machine-learning capabilities in almost every industry. Healthcare organizations are using healthcare AI/ML solutions to achieve operational efficiency and deliver quality patient care. Finance institutions are using machine learning to overcome healthcare fraud challenges. Isn’t it so?

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Mlearning.ai

JUNE 14, 2023

I used this foolproof method of consuming the right information and ended up publishing books , artworks , Podcasts and even an LLM powered consumer facing app ranked #40 on the app store. BECOME a WRITER at MLearning.ai // Try These FREE ML Tools Today! Follow my entire journey here. Happy learning. Originally published at [link].

Natural Language Processing 52

Natural Language Processing ML ML Support Vector Machines 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

Services class Texts belonging to this class consist of explicit requests for services such as room reservations, hotel bookings, dining services, cinema information, tourism-related inquiries, and similar service-oriented requests. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module.

Algorithm 74

Algorithm Machine Learning Machine Learning K-nearest Neighbors 74

Pickl AI

MAY 31, 2023

These are a few online tutorials, instructions, and books available that can help you with comprehending these basic concepts. Explore Machine Learning with Python: Become familiar with prominent Python artificial intelligence libraries such as sci-kit-learn and TensorFlow. To obtain practical expertise, run the algorithms on datasets.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Heartbeat

FEBRUARY 15, 2024

Classifier Integration: The HOG features are fed into a classifier, often a Support Vector Machine (SVM), which learns to distinguish between pedestrian and non-pedestrian patterns. We’re committed to supporting and inspiring developers and engineers from all walks of life. HOGDescriptor() hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())

Deep Learning 40

Deep Learning Deep Learning Support Vector Machines ML 40

phData

OCTOBER 21, 2024

While Support Vector Machines (SVMs) or Regression Trees are commonly used for structured data, we turn to deep learning models for tasks like image recognition or text processing. These models better mimic the human brain with neurons and layers and can capture more complex patterns and relationships from the data.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52