As a hands-on introduction to machine learning, the crash course offered by Google is a great deal of practical experience. It starts by asking you about your previous experience in machine learning. You will be directed to the appropriate resources based on your answer, so you can maximize y...
Machine Learning CourseAdvantage Our curriculum empowers you with the expertise needed to thrive in your career. Through systematic learning and practical industry projects, you'll adeptly address intricate challenges and remain at the forefront of the AI & ML field. ...
Columbia UniversityviaedX 6.2k Write review This course may be unavailable. Go to class edXHelp Free Online Course (Audit) English 12 weeks, 8-10 hours a week Finished Advanced English Share Found in Machine Learning Courses Artificial Intelligence Courses ...
Advance your career with this Machine Learning course to become a certified Machine Learning engineer in 7 months.Get trained by eminent IIT Madras Faculty and industry experts Master Python, machine learning algorithms, statistics, AI & more Guaranteed Placement Assistance to land your dream job ...
By the end of this course, students will have practical knowledge of: Supervised learning algorithms Key concepts like under- and over-fitting, regularization, and cross-validation How to identify the type of problem to be solved, choose the right algorithm, tune parameters, and validate a model...
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction,...
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This course provides an overview of machine learning fundamentals on modern Intel® architecture. Topics covered include: Reviewing the types of problems that can be solved Understanding building blocks Learning the fundamentals of building models in machine learning Exploring key algorithms By the end ...
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Lund University 机器学习硕士 2509 次赞同 去咨询 基本信息 学制:两年,每年两个学期(semester),每个学期分为两个study period 学分:120ECTS,每个学期30ECTS 项目结构:如下图 第一年上学期4门必修课,下期开始分为两个track:machine learning和control,各自选择本track的必修课。第二年上学期一门统一的control必修课...