资源简介
Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. The book covers the main areas of marketing that require programmatic micro-decisioning — targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.

代码片段和文件信息
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
文件 9674928 2018-05-21 16:59 Introduction to Algorithmic Marketing- Artificial Intelligence for Marketing Operations.pdf
----------- --------- ---------- ----- ----
9674928 1
----------- --------- ---------- ----- ----
文件 9674928 2018-05-21 16:59 Introduction to Algorithmic Marketing- Artificial Intelligence for Marketing Operations.pdf
----------- --------- ---------- ----- ----
9674928 1
相关资源
- ReportMachine 交叉报表 学生成绩表
- reportmachine帮助电子书
- 机器学习个人笔记完整版v5.2-A4打印版
- TH upstream-inhibited ARHGAP12 subnetwork for
- Bishop - Pattern Recognition And Machine Learn
- [en]深度学习[Deep Learning: Adaptive Compu
- 吴恩达机器学习编程题
- Wikipedia机器学习迷你电子书之四《D
- AV Foundation 开发秘籍 英文版 Learning
- Google论文\“Wide & Deep Learning for Recom
- Learning From Data Yaser S. Abu-Mostafa
- 《增强学习导论》Reinforcement Learning
- titanic_dataset.csv泰坦尼克数据集
- TensorFlow Machine Learning Cookbook+无码高清
- Hands-On Machine Learning with Scikit-Learn an
- Vapnik经典之作The Nature Of Statistical Le
- Learning Generative Adversarial Networks 无水印
- Algorithms for reinforcement learning
- Bioinformatics Algorithms: an Active Learning
- Big Data and Machine Learning in Quantitative
- Learning with Kernels
- master_machine_learning_algorithms285570
- Grokking Deep Learning
- machine-learning-ex4
- Learning Generative Adversarial Networks
- 斯坦福大学 2014 机器学习教程中文笔
- Deep Learning with R.pdf
- Reinforcement Learning: An Introduction,Rich
- 数据不均衡问题经典文献《Learning f
- Neural Networks and DeepLearning - Michael Nie
评论
共有 条评论