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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-for-ai-ml-developers/
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《面向 AI & ML 开发者的统计学》课程概述： 本课程旨在帮助您掌握成为一名 AI & ML 专家的必备技能，强调统计学在 AI 领域的核心作用，而非死记硬背公式。课程重点关注数据可视化和实际应用，并教授 Jupyter Notebook 和 Google Colab 等工具，使您能够编写代码解决问题并构建流行的机器学习模型。 您将学习基础统计概念，包括推断统计、基本术语、假设检验以及机器学习。掌握这些概念将帮助您构建有效且准确的模型。本课程尤其适合认真的机器学习开发者。 **课程主要内容：** * AI 导論统计学 * 数据分布与推断统计入门 * 推断统计与假设检验 * 机器学习导论 * 信息论、数据分析与机器学习模型 课程将阐述人工智能如何通过预测和数据模式识别来实现，以及统计学如何作为机器学习中数据分析和处理的基石。您将了解统计学在构建和部署 AI 模型方面的作用。 **课程优势：** * 结构化内容 * 行业专家授课 * 学习潮流机器学习工具与技术 立即加入，开启您的 AI 专家之路！
Learn The Necessary Skills To Become An AI& ML Specialist!Only Memorizing formulas or repeating the computation exercises is thing of the past! To become a complete AI specialist, learn the essential aspect of statistics. This program focuses on concepts like data visualization and practical applications. Also, this program will help you learn the tools like jupyter notebook and Google colab which enables you to code solutions and and build on popular ML models.Through this program, you get to learn basic concepts of statistics like inferential statistics, vocabulary, hypothesis testing, and machine learning. These concepts will you learn to build valid and accurate models. This is a must learn course for serious ML developers.Major Concepts That You'll Learn!Introduction to statistics for A.I.Data distributions and introduction to inferential statisticsInferential statistics and Hypothesis TestingIntroduction to Machine LearningInformation Theory, Data Analysis and Machine Learning ModelsThe field of Artificial Intelligence works on the prediction basis and patterns in structures using data. Statistics act as a foundation while analyzing and dealing with data in machine learning. This program will give you a brief knowledge of how statistics helps build and deploy AI models.Perks Of Availing This Program!Get Well-Structured ContentLearn From Industry ExpertsLearn Trending Machine Learning Tool & TechnologiesSo why are you waiting? make your move to become an AI specialist now.See You In The Class!
