Machine Learning Engineer - K· 薪 体素科技 医疗健康 B轮 职位关闭 算法工程师 - K· 薪 华为 计算机软件 不需要融资 职位详情 上海 1-3年 硕士 深度学习算法 视觉图像算法 TensorFlow Job Responsibilities: 1. Develop highly scalable image recognition systems
Kozo Moriyama Lead Engineer, OMRON R&D department Case study Proof-of-concept iOS App for Omron Faced with insufficient in-house resource availability, the company turned to Softeq on a customer recommendation. Softeq created an iOS POC application with real-time image processing capabilities. Show...
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree. - tatsuyah/vehicle-detection
Model Evaluation: once a model is trained, a machine learning engineer must evaluate whether the model performs well on unseen data. To evaluate a model, one might use metrics like accuracy, precision, and a receiver operating characteristic (ROC) curve. Feature Engineering: a difficult skill to...
The algorithms of machine learning algorithms are used to determine the self-driving car challenges/variables such as car directions, speech and gesture recognition, language detection, etc. Applications of Machine Learning in Sales and pricing In an age where the world is becoming a marketplace, ...
A self-driving car would be safer, as the detection of even the smallest amount of human signal would always suffice to activate a safety protocol even in the presence of a large amount of other signal. Machine learning (ML) systems would be more robust to adversarial attacks and unexpected...
Best Machine Learning Courses Machine Learning Engineer Machine Learning Projects Introduction SQL(Structured Query Language) has been around for a long time now and yet it is still the most prevalent query language developed for communicating with databases. The benefits of SQL comprise revising databa...
Semi-Supervised Learning Semi-supervised learning is a hybrid model. Algorithms using semi-supervised deep learning are trained on a combination of labeled and unlabeled data. This approach can be more practical because it can be expensive to have a data scientist or data engineer label data. Othe...
Machine learning engineer A machine learning engineer designs and implements machine learning systems. They run machine learning experiments using programming languages like Python and R, work with datasets, and apply machine learning algorithms and libraries. Key skills: Programming (Python, Java, R) ...
Any engineer developing a self-driving car project using machine learning should have worked with AdaBoost. AdaBoost is a decision matrix algorithm that ensures theadaptiveboosting of learners. In essence, it takes the output of other regression and classification algorithms and checks how their perfo...