|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-intelligence-mastercalss/
课程评论：没有评论
课程名称：从零开始的完整人工智能课程 概述：您是否希望学习如何高精度预测经济时间序列（如股票价格或指数）？您是否想知道如何用几行代码预测天气数据（如温度和风速）？您是否希望更准确地分类手写数字？如果您的回答是肯定的，那么请继续阅读……在计算机科学中，人工智能（AI）是机器所展现的智能，与人类和其他动物所表现的自然智能相对。在本课程中，您将学习使用Python的人工智能的基本概念，包括神经网络、分类方法、回归分析和优化方法。 课程内容： 1. **神经网络**：学习如何使用Keras和LSTM构建递归神经网络，使用Python和Keras预测谷歌股票价格、NASDAQ指数、纽约温度和风速等。 2. **分类方法**：使用Python和sklearn中的多层感知器（MLP）预测不同数据集的输出，包括逻辑门、车辆数据集等；学习使用k-最近邻、贝叶斯、支持向量机和逻辑回归进行高精度分类。 3. **回归方法**：学习线性回归、多元线性回归和多项式回归，通过Python评估系统输出，并应用到多个实例，如糖尿病、波士顿房价等。 4. **优化算法**：学习遗传算法和粒子群优化方法的基本理论，包括基本遗传算子和粒子群的运作原理。利用Python和deap库解决优化问题，如简单函数的最小/最大值、复杂三角函数和旅行商问题。 重要信息： - 如课程对您的职业生涯没有帮助，我们提供30天无条件退款保证。 - 一旦注册，您将获得无限制的终身访问权限，并能及时获取课程更新内容。 - 欢迎查看课程大纲和免费试听，了解更多信息。 现在就行动起来，点击右上方的“注册此课程”按钮吧！每一秒钟都很宝贵，我期待在课程中见到您！ 最诚挚的问候， Sobhan
Do you like to learn how to forecast economic time series like stock price or indexes with high accuracy?Do you like to know how to predict weather data like temperature and wind speed with a few lines of codes?Do you like to classify Handwritten digits more accurately ?If you say Yes so read more...In computer science, Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. In this you are going to learn essential concepts of AI using Python:Neural NetworksClassification MethodsRegression AnalysisOptimization Methods_____________________________________________________________________________________________________________________in the First, Second,Third sections you will learn Neural NetworksYou will learn how to make Recurrent Neural Networks using Keras and LSTMs: you'll learn how to use python and Keras to forecast google stock price. you'll know how to use python and Keras to predict NASDAQ Index precisely. you'll learn how to use python and Keras to forecast New York temperature with low error. you'll know how to use python and Keras to predict New York Wind speed accurately.In the next section you learn how to use python and sklearn MLPclassifier to forecast output of different datasets like Logic GatesVehicles DatasetsGenerated DatasetsIn the third section you can forecast output of different datasets using Keras library likeRandom datasetsForecast International Airline passengersLos Angeles temperature forecasting_____________________________________________________________________________________________________________________Next you will learn how to classify well known datasets into with high accuracy using k-Nearest Neighbors, Bayes, Support Vector Machine and Logistic Regression.In the 4th section you learn how to use python and k-Nearest Neighbors to estimate output of your system. In this section you can classify: Python DatasetIRIS FlowersMake your own k Nearest Neighbors AlgorithmIn the 5th section you learn how to use Bayes and python to classify output of your system with nonlinear structure.In this section you can classify:IRIS FlowersPima Indians Diabetes DatabaseMake your own Naive Bayes AlgorithmYou can also learn how to classify datasets by by Support Vector Machines to find the correct class for data and reduce error. Next you go further You will learn how to classify output of model by using Logistic RegressionIn the 6th section you learn how to use python to estimate output of your system. In this section you can estimate output of: Random datasetIRIS FlowersHandwritten DigitsIn the 7th section you learn how to use python to classify output of your system with nonlinear structure.In this section you can estimate output of:BlobsIRIS FlowersHandwritten Digits _____________________________________________________________________________________________________________________After it we are going to learn regression methods like Linear, Multi-Linear and Polynomial Regression.In the 8th section you learn how to use Linear Regression and python to estimate output of your system. In this section you can estimate output of:Random NumberDiabetesBoston House PriceBuilt in DatasetIn the 9th section you learn how to use python and Multi Linear Regression to estimate output of your system with multivariable inputs.In this section you can estimate output of:Global TempratureTotal Sales of Advertising CampaignBuilt in DatasetIn the 10th section you learn how to use python Polynomial Regression to estimate output of your system. In this section you can estimate output of:Nonlinear Sine FunctionPython DatasetTemperature and CO2_____________________________________________________________________________________________________________________Finally I want to learn you theory behind bio inspired algorithms like Genetic Algorithm and Particle Swarm Optimization Method. You'll learn basic genetic operators like mutation crossover and selection and how they are work. You'll learn basic concepts of Particle Swarm and how they are work.In the 11th section you will learn how to use python and deap library to solve optimization problem and find Min/Max points for your desired functions using Genetic Algorithm. you'll learn theory of Genetic Algorithm Optimization Method you'll know how to use python and deap to optimize simple function precisely. you'll learn how to use python and deap to find optimum point of complicated Trigonometric function. you'll know how to use python and deap to solve Travelling Salesman Problem (TSP) accurately.In the 12th section we go further you will learn how to use python and deap library to solve optimization problem using Particle Swarm Optimizationyou'll learn theory of Particle Swarm Optimization Method you'll know how to use python and deap to optimize simple function precisely. you'll learn how to use python and deap to find optimum point of complicated Trigonometric function. you'll know how to use python and deap to solve Rastrigin standard function accurately.___________________________________________________________________________Important information before you enroll:In case you find the course useless for your career, don't forget you are covered by a 30 day money back guarantee, full refund, no questions asked!Once enrolled, you have unlimited, lifetime access to the course!You will have instant and free access to any updates I'll add to the course.You will give you my full support regarding any issues or suggestions related to the course.Check out the curriculum and FREE PREVIEW lectures for a quick insight.___________________________________________________________________________Music from Jukedeck - create your own at jukedeck com___________________________________________________________________________It's time to take Action!Click the "Take This Course" button at the top right now!...Don't waste time! Every second of every day is valuable...I can't wait to see you in the course!Best Regrads,Sobhan
