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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-pyspark-google-colab-primer-for-data-science/
课程评论：没有评论
课程名称：完整的PySpark与Google Colab数据科学入门 概述：本课程是学习PySpark和Google Colab的完整指南，专为人工智能（AI）设计。课程涵盖了PySpark大数据生态系统在Google Colab框架内的主要内容。学习本课程后，您无需再参加其他课程或购买书籍，因为这里有最新的信息和语法。您将学会如何在强大的Python AI框架Google Colab内利用PySpark的强大功能。在大数据时代，各大公司利用PySpark处理庞大的信息数据。通过精通机器学习、神经网络和深度学习，您可以为所在公司提供竞争优势，提升职业生涯。 讲师介绍：我的名字是Minerva Singh，是牛津大学地理与环境学硕士（MPhil）毕业生。在剑桥大学获得博士学位，专注于数据科学模型，拥有5年以上的实际数据分析经验，并在国际同行评审的期刊上发表过多篇论文。通过我的研究发现，几乎所有的数据科学课程和书籍都未能考虑到这一主题的多维特性。本课程将为您提供有关PySpark的坚实基础，帮助您迈入大数据领域。我将深入探索PySpark的数据科学功能及其在Google Colab中的实现，提供独特的学习体验。课程内容包括数据读取与清理，以及强大的机器学习和神经网络算法的实施与性能评估。 课程内容亮点： - 介绍Google Colab，这是一个强大的浏览器数据科学实现框架。 - 用简单易懂的语言介绍机器学习的重要概念。 - 学习如何在Colab环境中安装PySpark并用于数据处理。 - 实施有监督和无监督算法。 - 使用Pyspark框架实现人工神经网络（ANN）和深度神经网络（DNN）。 - 处理真实数据，不需要任何先前的Python或统计/机器学习或大数据知识。 课程设计介绍：课程以易于理解的方式，结合动手操作，简化和讲解复杂的Python概念。您将使用真实的数据解决实际问题，深入理解各种算法和方法，寻找适合自己数据的最佳解决方案。所有课程使用的代码和数据都将向您开放。 加入我的课程，现在就开始您的学习之旅！我会在整个过程中为您提供支持。如果您不满意，提供30天无条件退款保证。
YOUR COMPLETE GUIDE TO PYSPARK AND GOOGLE COLAB: POWERFUL FRAMEWORK FOR ARTIFICIAL INTELLIGENCE (AI) This course covers the main aspects of the PySpasrk Big Data ecosystem within the Google CoLab framework. If you take this course, you can do away with taking other courses or buying books on PySpark based analytics as my course has the most updated information and syntax. Plus, you learn to channelise the power of PySpark within a powerful Python AI framework- Google Colab. In this age of big data, companies across the globe use Pyspark to sift through the avalanche of information at their disposal, courtesy Big Data. By becoming proficient in machine learning, neural networks and deep learning via a powerful framework, H2O in Python, 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 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 working with PySpark- your gateway to Big Data Unlike other instructors, I dig deep into the data science features of Pyspark and their implementation via Google Colab and give you a one-of-a-kind grounding You will go all the way from carrying out data reading & cleaning to finally implementing powerful machine learning and neural networks algorithms and evaluating their performance using Pyspark.Among other things:You will be introduced to Google Colab, a powerful framework for implementing data science via your browser. You will be introduced to important concepts of machine learning without jargon. Learn to install PySpark within the Colab environment and use it for working with dataYou will learn how to implement both supervised and unsupervised algorithms using the Pyspark frameworkImplement both Artificial Neural Networks (ANN) and Deep Neural Networks (DNNs) with the Pyspark frameworkWork with real data within the frameworkNO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING OR BIG DATA KNOWLEDGE IS REQUIRED:You'll start by absorbing the most valuable Pyspark Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python. 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 Pyspark-based data science in real-life.After taking this course, you'll easily use the latest Pyspark techniques to implement novel data science techniques straight from your browser. You will get your hands dirty with real-life data and problems 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!I AM HERE TO SUPPORT YOU THROUGHOUT YOUR JOURNEYINCASE YOU ARE NOT SATISFIED, THERE IS A 30-DAY NO QUIBBLE MONEY BACK GUARANTEE.
