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Executive Certificate in Machine Learning 101
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关于这门课程
100%在线
随时随地学习
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2个月完成
每周2-3小时
随时开始
无等待期
课程详情
- Introduction to Machine Learning: Supervised vs. Unsupervised Learning
- Regression Models: Linear Regression, Polynomial Regression, and Regularization
- Classification Models: Logistic Regression, Support Vector Machines (SVM), and Decision Trees
- Data Preprocessing and Feature Engineering for Machine Learning
- Model Evaluation Metrics: Precision, Recall, F1-Score, and AUC
- Machine Learning Algorithms and Model Selection
- Practical Application of Machine Learning with Python
- Introduction to Deep Learning and Neural Networks
职业道路
Career Role Description Machine Learning Engineer (Primary Keyword: Machine Learning; Secondary Keyword: Engineering) Develops, implements, and maintains machine learning models for various applications.
High demand in UK tech sector.
Data Scientist (Primary Keyword: Data; Secondary Keyword: Science) Collects, analyzes, and interprets complex data sets to extract insights and inform business decisions.
Crucial role across industries.
AI Specialist (Primary Keyword: Artificial Intelligence; Secondary Keyword: Specialist) Focuses on developing and implementing AI systems, specializing in areas such as natural language processing or computer vision.
Growing sector with high salaries.
Machine Learning Architect (Primary Keyword: Machine Learning; Secondary Keyword: Architecture) Designs and implements the overall architecture of machine learning systems, ensuring scalability and efficiency.
Highly sought-after role.
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是：
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后，您将获得结业证书。
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