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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-master-machine-learning-with-python-3-in-1/
课程评论：没有评论
课程名称: Python：掌握机器学习与Python：三合一 课程概述：您是一名数据科学家，每天都在面对海量数据，尝试应用最新和最先进的模型来发现新见解，但似乎总有无尽的障碍。您的同事依赖于您将公司的数据变现，时刻处于紧迫的时间压力之下。如何应对？“Python机器学习故障排除”将为您提供解答。 机器学习为数据提供了强大的洞察力。在现代数据驱动的世界中，机器学习的应用已在各行各业中普遍采用。它被广泛应用于搜索引擎、机器人、自驾车等多个领域。将机器学习与Python有效结合，有助于解决实际问题并自动化分析模型。本综合性的三合一课程是一个全面的实用教程，帮助您在不同场景中从数据中获得非常优秀的见解，并轻松部署机器学习模型。 课程包含三个完整的模块，旨在为学员提供尽可能全面的培训。第一个课程“Python机器学习项目”涵盖使用Python进行机器学习的深入项目。本视频将通过六个独立项目帮助您掌握Python中的机器学习知识，涉及分类、回归、聚类等概念，并将与各种数据库进行交互。完成本课程后，您将能够实现自己的机器学习模型。 第二个课程“Python机器学习解决方案”包含100个视频，教授您如何在现实世界中执行各种机器学习任务。探索多种实际场景中的机器学习应用，学习不同的基础知识。课程将用多种机器学习算法解决实际问题，并使用Python实施这些算法。您将学习如何处理不同类型的数据，了解监督学习与无监督学习等不同机器学习范式的区别。 第三个课程“Python机器学习故障排除”提供针对常见机器学习问题的实用独特解决方案，帮助您调试模型和研究流程，让您能够专注于提出新想法，而不是修复旧错误。课程结束后，您将能通过富有洞察力的项目在现实世界中执行各种机器学习任务。 关于作者：本课程由多位行业专家共同编写，包括数据科学家亚历山大·T·科姆斯（Alexander T. Combs）、人工智能研究者普拉提克·乔希（Prateek Joshi）、技术咨询公司Colibri的创始人詹姆斯·克罗斯（James Cross）及其他知名人士，他们在机器学习及相关领域有着深厚的背景与丰富的实践经验。 无论您是想提升自己的机器学习能力，还是希望加速职业发展，这个综合性的课程都将为您提供系统的知识与实用技能。
You are a data scientist. Every day, you stare at reams of data trying to apply the latest and brightest of models to uncover new insights, but there seems to be an endless supply of obstacles. Your colleagues depend on you to monetize your firm's data - and the clock is ticking. What do you do?Troubleshooting Python Machine Learning is the answer.Machine learning gives you powerful insights into data. Today, implementations of machine learning are adopted throughout Industry and its concepts are many. Machine learning is pervasive in the modern data-driven world. Used across many fields such as search engines, robotics, self-driving cars, and more.The effective blend of Machine Learning with Python, helps in implementing solutions to real-world problems as well as automating analytical model. This comprehensive 3-in-1 course is a comprehensive, practical tutorial that helps you get superb insights from your data in different scenarios and deploy machine learning models with ease. Explore the power of Python and create your own machine learning models with this project-based tutorial. Try and test solutions to solve common problems, while implementing Machine learning with Python. Contents and Overview This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Python Machine Learning Projects, covers Machine Learning with Python's insightful projects. This video is a unique blend of projects that teach you what Machine Learning is all about and how you can implement machine learning concepts in practice. Six different independent projects will help you master machine learning in Python. The video will cover concepts such as classification, regression, clustering, and more, all the while working with different kinds of databases. You'll be able to implement your own machine learning models after taking this course. The second course, Python Machine Learning Solutions, covers 100 videos that teach you how to perform various machine learning tasks in the real world. Explore a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the course, you'll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. Discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning The third course, Troubleshooting Python Machine Learning, covers practical and unique solutions to common Machine Learning problems that you face. Debug your models and research pipelines, so you can focus on pitching new ideas and not fixing old bugs. By the end of the course, you'll get up-and-running via Machine Learning with Python's insightful projects to perform various Machine Learning tasks in the real world.About the Authors Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City. Prateek Joshi is an Artificial Intelligence researcher, the published author of five books, and a TEDx speaker. He is the founder of Pluto AI, a venture-funded Silicon Valley startup building an analytics platform for smart water management powered by deep learning. His work in this field has led to patents, tech demos, and research papers at major IEEE conferences. He has been an invited speaker at technology and entrepreneurship conferences including TEDx, AT & T Foundry, Silicon Valley Deep Learning, and Open Silicon Valley. Prateek has also been featured as a guest author in prominent tech magazines. His tech blog has received more than 1.2 million page views from over 200 countries and has over 6,600+ followers. He frequently writes on topics such as Artificial Intelligence, Python programming, and abstract mathematics. He is an avid coder and has won many hackathons utilizing a wide variety of technologies. He graduated from University of Southern California with a Master's degree, specializing in Artificial Intelligence. He has worked at companies such as Nvidia and Microsoft Research.Colibriis a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas like big data, data science, Machine Learning, and Cloud Computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping all of them to better make sense of their data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.Rudy Lai is the founder of Quant Copy, a sales acceleration startup using AI to write sales emails to prospects. By taking in leads from your pipelines, Quant Copy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance-key analytics that all feed back into how our AI generated content. Prior to founding Quant Copy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced firsthand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with HighDimension.IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye. In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform from which to learn a lot about reinforcement learning and supervised learning topics in a commercial setting. Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize.
