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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-for-business-ai-applications-for-business-success/
课程评论：没有评论
课程名称：商业中的人工智能 - 人工智能在商业成功中的应用 课程概述： 《商业中的人工智能 - 人工智能在商业成功中的应用》课程旨在帮助各类组织利用人工智能的潜力，不论其规模和行业。人工智能不仅仅是自驾车和高科技公司的代名词，它在处理大数据和复杂数据集时，显著超越传统的商业智能方法。课程讲解了人工智能如何助力公司构建客户保留模型、优化销售定价以提升收入、降低成本和优化业务流程，从而更有效地运营组织。 讲师Horia Margarit拥有加州大学伯克利分校的认知科学和计算机科学两个学士学位，以及斯坦福大学统计学硕士学位。Horia在旧金山湾区拥有超过10年的专业经验，他的独特方法在解决复杂的商业问题上取得了显著成果。他的对人工智能在商业应用中的预测曾被《CIO Magazine》和《福布斯》引用。 课程内容包括商业分析概述、如何设定SMART目标、进行SWOT分析及供应链分析的挑战与机遇。学员将识别需要解决的商业问题，了解商业分析方法的关键优缺点，并深入研究实现商业目标的可行性。 在课程中，学员将学习如何从高质量数据构建AI模型、提取可操作的解释、预测结果以及评估预测质量。将重点介绍关键算法，如梯度提升机和收敛交叉映射，以及理解模型性能的新方法，如LIME和SHAP值。 此外，课程还将教授如何证明预测结果的显著性，通过参数检验，重点使用混合实验和分位差检验。 这个课程充满了宝贵的概念和先进的技术，适合希望提升自己在商业AI领域职业发展的学习者。立即注册，开始你的人工智能商业之旅！
AI for Business - AI Applications for Business SuccessAI isn't just a fancy concept that powers self-driving vehicles, robots, and high-tech companies.Most organizations - regardless of their size and industry - can benefit from the application of artificial intelligence.Charts and dashboards are useful tools, but they often struggle to analyze big and complex datasets. This is precisely when AI outperforms the traditional Business Intelligence approach! Correlation doesn't imply causation, and this is a significant limitation of BI.Artificial Intelligence can help a company in a variety of ways - it can be employed to build customer retention models, increase gross revenue by optimizing your selling price, find a way to minimize costs and optimize business processes, and ultimately - to run an organization more effectively.This is what AI for Business course aims to teach you.Your instructor, Horia Margarit, has earned two Bachelor's degrees in Cognitive and Computer Sciences at the University of California, Berkeley, and a Master's degree in Statistics from Stanford University. With over 10 years of professional experience in the San Francisco Bay Area, he has differentiated himself by applying highly novel methods and approaches to tackling complex business problems. As a result, his predictions for business applications of AI have been featured in both CIO Magazine and Forbes. Horia's primary focus is on technical underpinnings that maximize actual business and customer value.All this makes him uniquely qualified to teach this topic.In the course, you'll get an overview of business analytics and find out how to define SMART goals and conduct SWOT analysis. You'll go through the challenges and opportunities of supply chain analytics to then determine the business problem we'll tackle throughout the course.Moreover, we will consider the key benefits and limitations of using business analytics approach to solving such problems.Having laid the foundations, we'll then dig deeper and focus on attainability. Even more so, you will discover how to leverage the power of AI in order to achieve the set business goals.Here, you will be able to:· Build an AI model from high fidelity data· Extract actionable explanations· Predict the outcome· Evaluate the quality of the predictionsWe won't spend too much time obtaining the data and building the AI model. Instead, we will focus on evaluating the performance of those methods.For that, you will go through key algorithms like Gradient Boosted Machines and Convergent Cross Mapping. Most of all, you will have the chance to examine in great detail novel approaches to understanding model performance such as LIME and SHAP values.And that's not all!After we've learned how to obtain accurate predictions from our models, we'll find out how we can show the significance of the obtained results. To do so, we'll rely on parametric tests. More specifically, we will be working with the hybrid experiment and quantile difference tests.Take your AI career to new heights!This course is packed with valuable concepts and state-of-the-art techniques.Enroll now and start your journey to AI for business today!
