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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-learn-by-building-web-apps-in-python/
课程评论：没有评论
课程名称：学习机器学习的 веб 应用程序开发 课程概述：机器学习是人工智能（AI）的一个分支，专注于构建能够从数据中学习并随着时间的推移提高准确性的应用程序，而无需进行编程。在数据科学中，算法是统计处理步骤的序列。在机器学习中，算法会在海量数据中“训练”以寻找模式和特征，从而根据新数据做出决策和预测。算法越好，其决策和预测的准确性随着数据处理量的增加而提高。机器学习取得了一些惊人的成果，例如能够分析医学图像并预测与人类专家水平相当的疾病。谷歌的AlphaGo程序通过深度强化学习击败了围棋世界冠军。机器学习甚至被用于编程自动驾驶汽车，这将永远改变汽车工业。想象一个由于消除人为错误而大幅减少车祸的世界。 课程涵盖的主题： 1. 机器学习库入门：numpy, pandas 2. 实现机器学习算法：线性回归、逻辑回归 3. 从零开始实现神经网络 4. Tensorflow和Keras简介 5. 创建简单的“Hello World” flask应用程序 6. 创建flask应用程序以实现线性回归并测试API端点 7. 实现迁移学习并构建图像分类应用 该课程将帮助学习者掌握机器学习基础知识及其在 веб 应用程序中的应用，从而为未来的技术发展打下坚实的基础。
Machine learning is a branch of artificial intelligence (AI) focused on building applications that learn from data and improve their accuracy over time without being programmed to do so.In data science, an algorithm is a sequence of statistical processing steps. In machine learning, algorithms are 'trained' to find patterns and features in massive amounts of data in order to make decisions and predictions based on new data. The better the algorithm, the more accurate the decisions and predictions will become as it processes more data.Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts.Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning.Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.Topics covered in this course:1. Warm-up with Machine learning Libraries: numpy, pandas2. Implement Machine Learning algorithms: Linear, Logistic Regression3. Implement Neural Network from scratch4. Introduction to Tensorflow and Keras5. Start with simple "Hello World" flask application6. Create flask application to implement linear regression and test the API's endpoints7. Implement transfer learning and built an app to implement image classification
