GitHub11mon
PetraIvanovic8/Advanced-Techniques-in-Machine-Learning-and-Deep-Learning
Each folder contains the assignment instructions in pdf, and all answers in separate ... The tasks provided hands-on experience with cutting-edge machine learning optimization and feature engineering ...
IEEE9mon
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
Machine Learning for Imbalanced Data begins by introducing you to the challenges posed by imbalanced datasets and the importance of addressing these issues. It then guides you through techniques that ...
GitHub6y
Awesome Source Code Analysis Via Machine Learning Techniques
A list of resources for source code analysis application using Machine Learning techniques (eg, Deep Learning, PCA, SVM, Bayesian, proabilistic models, reinformcement learning techniques etc) Please ...
Nature3d
Automatic Differentiation Techniques in Machine Learning
Automatic differentiation (AD) is a powerful computational technique used in machine learning to efficiently compute derivatives of functions. This is particularly important for optimizing ...
Frontiers27d
Machine Learning Techniques on Gene Function Prediction
In recent years, deep learning and big data machine learning techniques have developed rapidly and achieved an amazing level of performance in many areas including image classification and speech ...
Frontiers4y
Machine Learning Techniques for Soft Robots
You will be redirected to our submission process. Soft robotic technologies have introduced new paradigms in the design and development of robots. This shift in outlook presents new challenges and ...
BMJ3y
Machine learning techniques for mortality prediction in emergency departments: a systematic review
Objectives This systematic review aimed to assess the performance and clinical feasibility of machine learning (ML) algorithms in prediction ... Consequently, utilisation of ML techniques in the ...
IEEE1y
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this ...
lse2y
Machine Learning: Practical Applications
Explore machine learning techniques to optimise your data analyses for informed business decision-making. Machine learning is becoming an increasingly important analytical tool, enabling businesses to ...
mccormick.northwestern.edu1y
Machine Learning and Data Science
Deep dive into our comprehensive and applied curriculum. Learn to properly communicate findings to drive business success. Master techniques to integrate data engineering and data science, design ...
News Medical on MSN13d
Database ranks 50,000 processed foods
Research analyzes over 50,000 food products, highlighting the dominance of ultra-processed options in grocery stores and its ...