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Required experience in:
- Statistical data management: PCA, Factor Analysis, data augmentation, data filtering…
- Machine Learning algorithms for regression, classification and clustering: Decision Trees, Random Forests, Support Vector Machines (SVM), k-nearest neighbours (k-NNs), k-means, Hierarchical Clustering...
- Deep Learning models: Feed Forward Networks (FFNs) , Convolutional Neural Networks (CNNs) , Recurrent Neural Networks(RNNs), Transformers...
- Python for AI: Numpy, Scikit-Learn, PyTorch, TensorFlow...
Additional useful experience:
- AI for Computer Vision: OpenCV, segmentation, object detection and classification (YOLO)...
- AI for Robotic systems: Prediction, Planning, Perception, State Estimation, SLAM, Learning by Demonstration, Kinematics, Human-Robot Interaction...
- Reinforcement Learning (RL) algorithms: Deep Q-Learning, Policy Gradients algorithms, Actor-Critic algorithms...
- Experience in C++
- Experience in ROS
- Optimal Control/Predictive Control
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Viladecans, Catalonia, Spain 7 months ago
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