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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-algorithms-in-7-days/
课程评论：没有评论
课程名称：七天掌握机器学习算法 概述：您是否渴望学习一些当今备受关注的机器学习算法？机器学习应用高度自动化并具自我修正能力，能够随着数据的增多不断改进，减少对人类干预的需求。为了应对各种现实世界数据问题的复杂性，专门的机器学习算法被开发出来，能够完美解决这些问题。本课程为您提供了一个轻松的学习通道，让您了解数据科学和机器学习领域中的七个关键算法。您将学习如何对数据进行预聚类，以优化和分类大数据集。课程中，您还将学习如何基于数据集中的现有趋势进行数据预测。该视频关注于准确有效的数据分类和预测问题。在七天的课程中，您将逐步接触这七种算法，并完成各种练习，帮助您掌握机器学习的不同方面。本课程涵盖的算法包括：k-近邻、朴素贝叶斯、决策树、随机森林、k-Means、回归和时间序列。完成课程后，您将能够理解如何选择适合聚类、分类或回归的问题的机器学习算法，以及最适合您需求的算法。您将能够轻松自信地构建和实施数据科学算法。 作者简介：Shovon Sengupta是一位经验丰富的数据科学家，拥有超过10年的先进预测分析、机器学习、深度学习和强化学习的经验。他在为各个组织设计获奖解决方案方面有着丰富的实践经验，尤其是在金融领域。Shovon目前担任美国一家领先的非银行金融机构的高级首席数据科学家，并持有印度一所著名大学的高级计量经济学硕士学位。
Are you really keen to learn some cool machine learning algorithms that are making headlines these days? Machine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed that solve these problems perfectly. This course offers an easy gateway to learn about 7 key algorithms in the realm of Data Science and Machine Learning. You will learn how to pre-cluster your data to optimize and classify it for large datasets. You will then find out how to predict data based on existing trends in your datasets. This video addresses problems related to accurate and efficient data classification and prediction. Over the course of 7 days, you will be introduced to seven algorithms, along with exercises that will help you learn different aspects of machine learning. This course covers algorithms such as: k-Nearest Neighbors, Naive Bayes, Decision Trees, Random Forest, k-Means, Regression, and Time-Series.On completion of the course, you will understand which machine learning algorithm to pick for clustering, classification, or regression and which is best suited for your problem. You will be able to easily and confidently build and implement data science algorithms.About the AuthorShovon Sengupta is an experienced data scientist with over 10 years' experience in advanced predictive analytics, machine learning, deep learning, and reinforcement learning. He has worked extensively in designing award winning solutions for various organizations, for different business problems in the realm of Finance. Currently, he works as Senior Lead Data Scientist at one of the leading NBFCs in USA.Shovon holds an MS in Advanced Econometrics from one of the leading universities in India.
