Impacts6h
Top 10 AI Crypto Coins an Opportunity for Investors To Reap Significant Returns
Artificial Intelligence (AI) and cryptocurrency are two of the most rapidly growing industries in today’s world. While AI ...
IEEE5d
Real-Time Detection of Parkinson’s States Based on Wearable Sensor With Embedded Machine Learning
In the first phase, the performance of seven state-of-the-art machine learning algorithms to classify lower limb movement symptoms from PD patients with healthy controls was evaluated. In the second ...
Not so simple machines: Cracking the code for materials that can learn
It's easy to think that machine learning is a completely digital phenomenon, made possible by computers and algorithms that ...
unite15d
10 Best Machine Learning Certifications (December 2024)
This certificate from IBM is aimed at those looking to develop the skills and experience necessary for a career in Machine Learning. The program consists of 6 courses that help you develop an ...
unite15d
10 Best AI Stock Trading Bots (December 2024)
There are many great options on the market, so let’s take a look at the 10 best AI stock trading ... in real-time using advanced AI algorithms. TrendSpider is a powerful technical analysis platform ...
Algorithms based on deep learning can improve medical image analysis
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on ...
marktechpost19d
10 Types of Machine learning Algorithms and Their Use Cases
At its core, machine learning algorithms seek to identify patterns within data, enabling computers to learn and adapt to new information. Think about how a child learns to recognize a cat. At first, ...
Frontiers19d
Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy
To understand the molecular distinctions among different subtypes and enhance the clinical utility, we employed 10 widely-used machine learning algorithms to develop biomedical prognostic signatures ...
Frontiers20d
Construction of a risk prediction model for postoperative deep vein thrombosis in colorectal cancer patients based on machine learning algorithms
Conclusion: The machine learning algorithms effectively predicted postoperative lower ... were developed and optimized using the 10-fold cross-validation approach. The performance of these models was ...
EurekAlert!21d
Algorithms can keep drowsy motorists alert and help them avert road accidents, scientists say
Machine Learning (ML) and Deep Learning (DL) algorithms can reduce road accidents ... select the optimal one based on the mean accuracy of 10-fold cross-validation evaluation method.
Science Daily21d
Researchers use fitness tracker data and machine learning to detect bipolar disorder mood swings
"In the future, our hope is that machine learning algorithms like ours could help patients' treatment teams respond fast to new or unremitting episodes in order to limit negative impact." ...
GitHub22d
machine-learning-algorithms
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...