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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-machine-learning-and-deep-learning-with-h2o-in-r/
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课程名称：使用H2O进行完整的机器学习和深度学习（R语言） 概述：本课程是您掌握H2O这一强大的R语言数据科学包的完全指南。通过学习本课程，您可以省去其他R语言数据科学课程或书籍的需求，因为您将掌握一个非常强大的数据科学框架。在大数据时代，全球公司使用R语言来处理海量信息。掌握机器学习、神经网络和深度学习，将通过H2O框架为您的公司带来竞争优势，提升您的职业生涯。 授课讲师：Minerva Singh，牛津大学地理与环境学硕士，剑桥大学博士，专注于数据科学模型，拥有5年以上的真实数据分析经验。在研究过程中，发现大部分R语言数据科学课程和书籍未能充分考虑该主题的多维特性。本课程将为您提供实用神经网络和深度学习的扎实基础，深入探讨R语言的特性，使您在数据科学领域获得独特的背景知识。 课程内容包括：从数据读取和清洗开始，到最终实施强大的神经网络和深度学习算法，并使用R语言评估其性能。课程将介绍基于R的深度学习包H2O，简化机器学习的重要概念，教您如何使用H2O框架实现监督学习和非监督学习算法，识别最重要的变量，并实现人工神经网络（ANN）和深度神经网络（DNN）等。 无论您是否具备R语言、统计学或机器学习的知识，课程都会从基础开始，以易于理解的实用方法简化复杂概念，帮助您使用来自不同来源的真实数据实施方法。课程将涵盖真实数据处理，包括图像数据的预处理和建模，并帮助您理解最佳算法和方法的选择。您将获得课程中使用的所有代码和数据。现在就加入我的课程吧！
YOUR COMPLETE GUIDE TO H2O: POWERFUL R PACKAGE FOR MACHINE LEARNING, & DEEP LEARNING IN R This course covers the main aspects of the H2O package for data science in R. If you take this course, you can do away with taking other courses or buying books on R based data science as you will have the keys to a very powerful R supported data science framework. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in machine learning, neural networks and deep learning via a powerful framework, H2O in R, you can give your company a competitive edge and boost your career to the next level!LEARN FROM AN EXPERT DATA SCIENTIST:My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I finished a PhD at Cambridge University, UK, where I specialized in data science models. I have +5 years of experience in analyzing real-life data from different sources using data science-related techniques and producing publications for international peer-reviewed journals.Over the course of my research, I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic. This course will give you a robust grounding in the main aspects of practical neural networks and deep learning. Unlike other R instructors, I dig deep into the data science features of R and give you a one-of-a-kind grounding in data science.You will go all the way from carrying out data reading & cleaning to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using R.Among other things:You will be introduced to powerful R-based deep learning packages such as H2O. You will be introduced to important concepts of machine learning without the jargon. You will learn how to implement both supervised and unsupervised algorithms using the H2O frameworkIdentify the most important variables. Implement both Artificial Neural Networks (ANN) and Deep Neural Networks (DNNs) with the H2O frameworkWork with real data within the frameworkNO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:You'll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R. My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real-life.After taking this course, you'll easily use the data science package H2O to implement novel deep learning techniques in R. You will get your hands dirty with real-life data, including real-life imagery data which you will learn to pre-process and model You'll even understand the underlying concepts to understand what algorithms and methods are best suited for your data. We will also work with real data and you will have access to all the code and data used in the course. JOIN MY COURSE NOW!
