Free Algorithms and Data Structures Books

Introduction to Quantum Algorithms

Algorithmic Thinking. Learn Algorithms to Level up Your Coding Skills

Data Analytics Essentials You Always Wanted To Know (Self-Learning Management Series)

Effective Software Architecture: Building Better Software Faster (Early Release)

C# Data Structures and Algorithms: Harness the power of C# to build a diverse range of efficient applications

Data Structures and Algorithms with the C++ STL: A guide for modern C++ practitioners

The Algorithmic Designer: Designing Trading Strategies with Python: A Comprehensive Guide for 2024

Продвинутые алгоритмы и структуры данных

Graph Algorithms for Data Science: With examples in Neo4j

Алгоритмы и структуры для массивных наборов данных

Математические алгоритмы для программистов. 3D-графика, машинное обучение и моделирование на Python (with Color Image)

Grokking Algorithms (MEAP v4) 2ed 2023

Algorithms For Dummies

The Algorithm Design Manual

Python-Based Data Structures and Algorithms

Anyone Can Code: Algorithmic Thinking

Automata Theory : An Algorithmic Approach

Алгоритмы обработки данных

Algorithmic Thinking: Learn Algorithms to Level up Your Coding Skills

Введение в методы машинной обработки данных

Foundations, Methods, and Algorithms: Computer Science Analysis

50 Algorithms Every Programmer Should Know: An unbeatable arsenal of algorithmic solutions for real-world problems

50 Algorithms Every Programmer Should Know: An unbeatable arsenal of algorithmic solutions for real-world problems

Practical Salesforce Architecture: Understanding and Deploying the Salesforce Ecosystem for the Enterprise

50 Algorithms Every Programmer Should Know: An unbeatable arsenal of algorithmic solutions for real-world problems

Algorithms of the Intelligent Web

Design for Developers

Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods, 2nd Edition

Building Evolutionary Architectures: Automated Software Governance, 2nd Edition

Walther recursion

Programming and Algorithmic Languages

Nature-Inspired Optimization Algorithms and Soft Computing: Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation

Contemporary Algorithms: Theory and Applications Volume III

Mathematics for Machine Learning: A Deep Dive into Algorithms

Handbook of Graph Drawing and Visualization: Draft of 2013 edition

Software Architecture with C# 12 and .NET 8 - 4th Edition (Early Access)

Limits to Parallel Computation: P-Completeness Theory

Algorithmic High-Dimensional Robust Statistics

The VALUE DRIVEN DATA Workbook: Practical exercises, templates, and tools for data value creation

The VALUE DRIVEN DATA Workbook: Practical exercises, templates, and tools for data value creation

Software development & programming: Guide

Building Responsible AI Algorithms: A Framework for Transparency, Fairness, Safety, Privacy, and Robustness

Software Development: Targeted Applications

Advanced Applications of Python Data Structures and Algorithms

Algorithms for Sequential Decision Making

Advanced Algorithms: Lecture Notes

Topics in Theoretical Computer Science: An Algorithmist's Toolkit: Lecture Notes

The Design of Approximation Algorithms

Techniques for Designing and Analyzing Algorithms

Parallel Algorithms

Deep Learning Algorithms

Graph Algorithms for Data Science MEAP V08

Advanced Applications of Python Data Structures and Algorithms

Data and AI Driving Smart Cities

Exploring MathCQA with a Math-aware Search Engine

Distribution Theory: Principles and Applications

Becoming a Dynamics 365 Finance and Supply Chain Solution Architect: Implement industry-grade finance and supply chain solutions

Applied Genetic Algorithm and Its Variants: Case Studies and New Developments

Mastering Unlabeled Data - MEAP V06

Elasticsearch in Action, Second Edition (MEAP V13)

Graph Algorithms for Data Science (MEAP v7)

Data Structures & Algorithms for all programmers

Grokking Algorithms, Second Edition (MEAP v1)

50 Algorithms Every Programmer Should Know

Advanced Data Structures and Algorithms: Learn how to enhance data processing with more complex and advanced data structures

Introduction to Datafication : Implement Datafication Using AI and ML Algorithms

Data Analytics and Adaptive Learning: Research Perspectives

Standards for the Control of Algorithmic Bias: The Canadian Administrative Context

Machine Learning System Design MEAP V03

DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation

Solving the reconstruction-generation trade-off: Generative model with implicit embedding learning

Software Engineering for Data Scientists (MEAP V03)

Lecture Notes for CS 6550: Advanced Graduate Algorithms (Randomized and Approximation Algorithms)

Optimization Algorithms: AI techniques for design, planning, and control problems (MEAP v6)

Keywords In and Out of Context

Усовершенствованные структуры данных.

Pearls of Algorithm Engineering

Data Fabric Architectures: Web-Driven Applications

Data Fabric Architectures: Web-Driven Applications

Data Ingestion with Python Cookbook: A practical guide to ingesting, monitoring

Implementing a Modern Data Catalog to Power Data Intelligence: Make Trustworthy Data Central to Your Organization

Architecting Data and Machine Learning Platforms (Second Early Release)

Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure: Challenges, Opportunities and Practices

Рекурсивная книга о рекурсии

Objects, Abstraction, Data Structures and Design: Using C++

Modern Approach to Educational Data Mining and Its Applications

Fundamentals of Data Observability

Data Structure and Algorithm

The fundamentals of algorithmic processes

Introduction to the Design and Analysis of Algorithms: A Multi-Paradigm Approach

Tableau For Dummies

Streaming Data Mesh: A Model for Optimizing Real-Time Data Services

Intelligence-Driven Incident Response

Learning Data Science Data Wrangling, Exploration,Visualization and Modeling with Python

Communication Patterns: A Guide for Developers and Architects (2nd Early Release)

Relationship between Counting and Sampling

Parallel Algorithms

Markov Chains, Coupling, Stationary Distribution

Lecture Notes on Karger’s Min-Cut Algorithm

Introduction to Parallel Algorithms