随笔分类 - AI
摘要：1. 朴素贝叶斯算法总结 1.1 模型 朴素贝叶斯法是基于贝叶斯定理与特征条件独立假设的分类方法。对于给定的训练数据集，首先基于特征条件独立假设学习输入输出的联合概率分布；然后基于此模型，对给定的输入 x，利用贝叶斯定理求出后验概率最大的输出 y。 设输入空间 \(\mathcal{
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摘要：1. KNN算法和KD - tree总结 1.1 KNN算法 模型 K近邻（K - Nearest Neighbors，KNN）算法是一种基本的分类与回归方法。它的模型实际上是对特征空间的划分，给定一个训练数据集，对于新的输入实例，在训练数据集中找到与该实例最邻近的 K 个实例，然后根据这
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摘要：感知器模型数学理论 感知器（Perceptron）是一种二分类的线性分类模型，其输入为实例的特征向量，输出为实例的类别（取 +1 和 -1）。 模型定义 给定一个输入向量 x=(x1,x2,⋯,xn)T，感知器模型的输出 y 由以下公式计
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摘要：这本书的第一部分塑造了你的思维。我们了解了 AI 是什么和不 是什么，帮助您设定期望。我们没有将 AI 视为取代您工作的机器人，而是 了解到 AI 可以成为一种实用的商业工具。您现在可以使用它来提高生产 力、减少人为错误，甚至增加收入。我们还了解到，AI 并不是解决所有问 题的灵丹妙药。它适用于具有
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摘要：The success of AI is perceived differently by various groups within organizations. AI experts typically define success as the creation of sophisticate
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摘要：
Many organizations today start by hiring a team of data scientists to implement AI. Yet, this is not the only way of bringing your AI vision to life,
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Many organizations today start by hiring a team of data scientists to implement AI. Yet, this is not the only way of bringing your AI vision to life,
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摘要：AI can improve Business Process (customer service & HR) Customer Service Workload Reduction: Employee burnout is a significant issue in customer servi
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摘要：成功的5个技巧 对AI的5个误解
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摘要：Whose Job is AI It’s common for management teams to assume that data scientists inherently know which problems to solve for the company. However, this
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摘要：B-CIDS AI-Readiness: A company is AI-ready when it can smoothly progress from AI concept to implementation and benefit realization, and do so consiste
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摘要：The Machine Learning Development Life Cycle Introduction Quote: "There are things known and there are things unknown, and in between are the doors of
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摘要：decision making ≈ data driven decision making Data-driven decision-making refers to leveraging aggregated and summarized data to drive critical decisi
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摘要：AI Eliminates Inefficiencies AI can significantly reduce inefficiencies in various sectors by automating tedious and time-consuming tasks. For instanc
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