Description:This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit le...
Course 3. 27 hours· Coursera | Online Courses & Credentials From Top Educators. Join for Free | Coursera Welcome to this free online class on machine learning. Machine learning is one of the most exciting recent technologies. And in this class, you learn about the state of the art and ...
Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. This first course of the two would focus more on mathematical tools, and the other course would focus more on algorithmic tools. [機器學習旨在讓電腦能...
This Google course is handpicked for its specialized focus on preparing individuals for a machine learning engineering role using Google Cloud Technologies, making it an excellent choice for those who are knowledgeable in the Google data space. Skills Acquired Upon successful completion of the course,...
About this course: Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. ...
In a world where data-driven insights are reshaping industries, mastering the foundations of machine learning is a valuable skill that opens doors to innovation and informed decision-making. In this comprehensive course, you will be guided through the core concepts and practical aspects of machine ...
课程地址:https://www.coursera.org/course/ml Machine Learning(机器学习)是研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技能,重新组织已有的知识结构使之不断改善自身的性能。它是人工智能的核心,是使计算机具有智能的根本途径,其应用遍及人工智能的各个领域,它主要使用归纳、综合而不是演译。在过去的...
• Analyze big data problems using scalable machine learning algorithms on Spark. Course 4 of 6 in the Big Data Specialization. Syllabus WEEK 1: Welcome; Introduction to Machine Learning with Big Data WEEK 2: Data Exploration WEEK 3: Classification WEEK 4: Evaluation of Machine Learning Models...
Description:This course introduces you to two of the most sought-after disciplines in machine learning: deep learning and reinforcement learning. Deep learning is a subset of machine learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of ...
courseId=1004570029#/courseDetail?tab=1 48. 机器学习的建议 a. 如果学习算法没有很好的预测结果,可以从几个方面优化: 获得更多的训练数据 - 修复高方差 减少特征 - 修复高方差 增加其他...Coursera机器学习(Andrew Ng)笔记:支持向量机 支持向量机Support Vector Machine 机器学习初学者,原本是写来自己看的,...