Description:
Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable.Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs.AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and fe
Feb 12, 2026;
from:
dice.com