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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pythonmachinelearning/
课程评论：没有评论
课程名称：使用Python机器学习为应用程序进行预测 课程概述：本课程将带您深入了解人工智能的三个终极层次，特别适合初学者！您将学习人工智能、机器学习和移动开发，使用Java、Android、TensorFlow Estimator、PyCharm以及MNIST等工具。这是一门内容丰富的课程，由一次非常成功的Kickstarter项目资助。 利用Google的深度学习框架TensorFlow与Python结合，提升您的应用程序性能。课程结束时，您将完成三个完整的移动机器学习模型和应用程序：简单的天气预测项目、股票市场预测项目和文本响应项目。我们将在PyCharm中构建基础版本，保存训练模型，并将其导出到Android Studio，围绕模型构建应用。 即使您没有经验，也没问题。我们将提供所有必要的信息，让您从新手成长为专业人士。课程开始时，我们将安装PyCharm 2017.2.3，并探索其界面。您将学习到Python 3.6.2的基本语言知识。对于有编程基础的学员，从基础回顾也是成功编程的关键。我们会通过实际示例和跟随式教程来教授您构建和运行Python项目的技巧。 接下来，我们将安装Android Studio 3，学习如何添加模拟器并构建简单的用户界面（UI）。您将掌握Java 8语言的基本知识，这是一门您必须了解的重要语言。同时我们将在课程中直接构建和运行Android项目，让您能够立即应用所学知识。 这门课程还将帮助您理解机器学习，并与人工智能（AI）进行比较。我们将一起探索机器学习的应用以及日常生活中机器学习的使用。机器学习、神经网络、深度学习和人工智能无处不在，随着技术的发展，它们将继续变得越来越重要。您将学习不同的机器学习机制和常用算法，深入了解这个不断发展的技术。 最后，我将教您什么是TensorFlow 1.4.1，以及它如何简化机器学习开发。您将了解到如何安装TensorFlow，并通过PyCharm访问其库。我们将一起构建一个完整的计算模型，进行训练和测试，进而用于未来的预测。我还会介绍如何构建线性回归模型，以便通过数据拟合直线，并学习模型的训练、测试、评估准确性和预测值的技能。 股票市场、天气和文本预测项目，准备开始吧！
Go through 3 ultimate levels of artificial intelligence for beginners!Learn artificial intelligence, machine learning, and mobile dev with Java, Android, TensorFlow Estimator, PyCharm, and MNIST. Woah! That's a lot of content for one course.This course was funded by a wildly successful KickstarterUse Google's deep learning framework TensorFlow with Python. Leverage machine learning to improve your appsPrediction Models MasterclassBy the end of this course you will have 3 complete mobile machine learning models and apps. We will build a simple weather prediction project, stock market prediction project, and text-response project. For each we will build a basic version in PyCharm, save the trained model, export the trained model to Android Studio, and build an app around model.No experience? No problemWe'll give you all necessary information to succeed from newbie to pro. We will install PyCharm 2017.2.3 and explore the interface. I will show you every step of the way. You will learn crucial Python 3.6.2 language fundamentals. Even if you have coding knowledge, going back to the basics is the key to success as a programmer. We will build and run Python projects. I teach through practical examples, follow-alongs, and over-the-shoulder tutorials. You won't need to go anywhere else.Then we will install Android Studio 3 and explore the interface. You will learn how to add a simulator and build simple User Interfaces (UIs). For coding, you will learn Java 8 language fundamentals. Java is a HUGE language that you must know, and I will tell you all about it. We will build and run Android projects directly in the course, and you will have solid examples to apply your knowledge immediately.Complete Image Recognition and Machine Learning for BeginnersWith this course I will help you understand what machine learning is and compare it to Artificial Intelligence (AI). Together we will discover applications of machine learning and where we use machine learning daily. Machine learning, neural networks, deep learning, and artificial intelligence are all around us, and they're not going away. I will show you how to get a grasp on this ever-growing technology in this course. We will explore different machine learning mechanisms and commonly used algorithms. These are popular and ones you should know.Next I'll teach you what TensorFlow 1.4.1 is and how it makes machine learning development easier. You will learn how to install TensorFlow and access its libraries through PyCharm. You'll understand the basic components of TensorFlow.Follow along with me to build a complete computational model. We'll train and test a model and use it for future predictions. I'll also show you how to build a linear regression model to fit a line through data. You'll learn to train and test the model, evaluate model accuracy, and predict values using the model.Stock Market, Weather & Text - Let's Go!
