一、动态频谱接入(DSA)的基本原理与挑战 1. DSA的核心机制 2. 关键挑战 二、Q-Learning在DSA资源分配中的应用框架 1. 算法原理 2. 典型应用场景 三、关键参数与模型设计 1. 状态空间定义 2. 动作空间设计 3. 奖励函数设计 四、研究进展与优化方法 1. 经典Q-Learning的改进 2. 性能对比 3. 典型研究成果...
Machine Learning with Python - Explore the fundamentals of Machine Learning using Python in this tutorial. Learn key concepts, algorithms, and practical applications.
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A comprehensive repository for learning Data Structures and Algorithms (DSA) using Python. Includes well-structured resources, code examples, and exercises to enhance problem-solving skills - aamna-ansari/DSA_Python
The best way to learn DSA with hands-on labs, practical projects, and community - right from your br... Start Learning → Web 3.0 Blockchain Developer Learning Path Web 3.0 is built on decentralization, and this learning path teaches you how to become a web 3/block... Start Learning →...
This repository tracks my journey in Data Structures and Algorithms (DSA) using Python. It includes implementations of core data structures (arrays, linked lists, trees, graphs) and algorithms (sorting, searching, dynamic programming). You'll also find s
Learn more about NYCDSANow we fit the KNN algorithm with K=1:from sklearn.neighbors import KNeighborsClassifier data = list(zip(x, y)) knn = KNeighborsClassifier(n_neighbors=1) knn.fit(data, classes) And use it to classify a new data point:...
8. Machine Learning with Python by IBM The course introduces students to the basic concepts of machine learning by using the well-known programming language Python, and its applications in fields ranging from healthcare, telecommunications, and finance to high-performance computing. Additionally, it ...
Implement DSA concepts through hands-on coding challenges and real-world examples 2 Courses Included 57h94 Questions View Bundle Details All Courses View All Courses Python Masterclass: Basics To Advanced With 15 Projects Learn Python from basics to advanced with 15 real-world projects, including we...
sQUlearn − it is a user-friendly library that integrates quantum machine learning with classical machine learning libraries or tools such as scikit-learn. PyQuil − It is developed by Rigetti Computing. It is a Python library for quantum programming and quantum machine learning. It provides to...