Analytics Insight

What are the Best Books on Data Science?

Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and ...
Analytics Insight

Best Neural Networks Courses in 2026 for AI and Deep Learning

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...
The Lancet

Classification accuracy of a hierarchical molecular inference-based deep-learning system for CNS tumour diagnosis: a multi-institutional, retrospective study

aLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA bCancer Data Science Laboratory, Center for Cancer Research, National ...
Scientific Research Publishing

Efficiency of Classification Algorithms in Monitoring Land Use through Remote Sensing in Sissili Province of Burkina Faso ()

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
The New York Times

Gladys West, Unsung Figure in Development of GPS, Dies at 95

As a Navy mathematician in the 1950s and beyond, she played an unheralded but foundational role in making possible the global satellite-based mapping system. Dr. Gladys West spent her career in ...
techtimes

How Social Media Algorithms Work to Rank Content and Boost Your Online Reach

Social media algorithms determine what billions of users see daily, yet most creators barely scratch the surface of how they operate. Platforms prioritize content ranking using engagement metrics, ...
IEEE

Comparing Embedding Methods and Classification Algorithms for Fake News Detection

Abstract: This study examines the effects of different embedding methods and classification algorithms on fake news detection using the LIAR dataset. Evaluating GloVe, Word2Vec, BERT, RoBERTa, and GPT ...
Frontiers

Evolutionary algorithm-optimized feature fusion for accurate classification of shredded tobacco using multi-sensor data

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
IEEE

Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation

Abstract: The Quantum Approximate Optimization Algorithm (QAOA) is a leading candidate for solving combinatorial optimization problems on near-term quantum hardware. However, its practical deployment ...
techtimes

How Recommendation Algorithms Shape What You Watch and Share: Streaming and Social Media Explained

Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation systems to deliver personalized recommendations. Pixabay, TungArt7 From movie ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...