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data-structure-and-algorithm's Introduction

深度学习工程师养成计划 (To be deep learning engineer plan)

目录:

  • 计算机基础

  • 数据结构与算法

  • 概率论与数理统计

  • 大数据

  • 机器学习

  • 深度学习

contents:


一、 计算机基础 计算机体系结构、计算机组成原理、操作系统、编译原理、数据库系统 重点: 编译计算、cpu结构(寄存器)、乐观锁、悲观锁、LRU、缓存


二、 数据结构与算法 重点:排序、搜索、动态规划

经典书籍:编程珠玑、LeetCode 相关文章:


三、 概率论与数理统计 AB测试


四、大数据 Hadoop、flink、kalfka cassandra、impala


五、 机器学习(含python)


六、 深度学习


useful article

美团配送 A/B评估体系建设与实践 JVM史上最最最完整深入解析 如何构建A/B测试系统,其核心功能有哪些 java服务,CPU100%问题如何快速解决 可以提高千倍效率的Java代码小技巧 神经网络反向传播算法 Apache Flink java并发测试神器 基准测试神器-JMH 李飞飞高徒发布33条神经网络训练秘技 谷歌最新发布dataset search 4种事务的隔离级别 10 种 Python 聚类算法完整操作示例

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