Algorithms |
Algorithms
Computer Science Distilled: Learn the Art of Solving Computational Problems
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition
Windows Internals, Part 1: System architecture, processes, threads, memory management, and more (7th Edition)
The Singularity Is Near: When Humans Transcend Biology
Algorithms (4th Edition)
Algorithm Design
C++ Plus Data Structures
Data Structures and Algorithm Analysis in Java (3rd Edition)
Algorithms Illuminated: Part 1: The Basics
Introduction to Computing Systems: From Bits and Gates to C and Beyond
Data Structures and Other Objects Using C++ (4th Edition)
Data Structures and Abstractions with Java (4th Edition)
Impractical Python Projects: Playful Programming Activities to Make You Smarter
Algorithms Illuminated (Part 2): Graph Algorithms and Data Structures (Volume 2)
Introduction to the Design and Analysis of Algorithms (3rd Edition)
Data Structures and Algorithms in C++
Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
Foundations of Algorithms
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Concrete Mathematics: A Foundation for Computer Science (2nd Edition)
Think Like a Programmer: An Introduction to Creative Problem Solving
Doing Data Science: Straight Talk from the Frontline
Data Structures & Algorithm Analysis in C++
Hacker's Delight (2nd Edition)
Data Structures and Algorithms in Java (2nd Edition)
Python Programming: 3 Books in 1: Beginner?s Guide + Intermediate Guide + Expert Guide to Learn Python Step-by-Step
Problem Solving with Algorithms and Data Structures Using Python SECOND EDITION
Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services
Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
Data Structures and Other Objects Using Java (4th Edition)
Java Software Structures: Designing and Using Data Structures (4th Edition)
ADTs, Data Structures, and Problem Solving with C++
C++ Programming: Program Design Including Data Structures
Daily Coding Problem: Get exceptionally good at coding interviews by solving one problem every day
Numsense! Data Science for the Layman: No Math Added
The Nature of Code: Simulating Natural Systems with Processing
Algorithmic Diagnosis of Symptoms and Signs
Understanding the Linux Kernel, Third Edition
Pro .NET Memory Management: For Better Code, Performance, and Scalability
Python and Algorithmic Thinking for the Complete Beginner: Learn to Think Like a Programmer
Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers
Networks, Crowds, and Markets: Reasoning about a Highly Connected World
Algorithms, Fourth Edition (Deluxe): Book and 24-Part Lecture Series
A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills
Data Structures and Problem Solving Using Java (4th Edition)
Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions (Pragmatic Programmers)
A Human's Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control
A First Course in Finite Elements
Artificial Intelligence with Python: A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers
Information Theory, Inference and Learning Algorithms
Think Like a Data Scientist: Tackle the data science process step-by-step
Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles, Fifth Edition
Hackers & Painters: Big Ideas from the Computer Age
Algorithm Design
Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
Understanding and Using C Pointers: Core Techniques for Memory Management
Advanced Analytics with Spark: Patterns for Learning from Data at Scale
Understanding Bioinformatics
Planning Algorithms
Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech
Lectures on Convex Optimization (Springer Optimization and Its Applications)
Security Engineering: A Guide to Building Dependable Distributed Systems
Clojure for the Brave and True: Learn the Ultimate Language and Become a Better Programmer
A Walk Through Combinatorics: An Introduction to Enumeration and Graph Theory (Fourth Edition)
Once Upon an Algorithm: How Stories Explain Computing (The MIT Press)
Objects, Abstraction, Data Structures and Design: Using C++
Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching, Third Edition
Engineering Mathematics
An Introduction to Quantum Computing
Mazes for Programmers: Code Your Own Twisty Little Passages
Algorithms for Optimization (The MIT Press)
Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science)
Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition
Data Structures and Algorithms in Python
Programming Collective Intelligence: Building Smart Web 2.0 Applications
Introduction to Parallel Computing (2nd Edition)
Analysis of Algorithms
Purely Functional Data Structures
Automata and Computability (Undergraduate Texts in Computer Science)
Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)
Algorithmic Game Theory
Python Machine Learning: A Deep Dive Into Python Machine Learning and Deep Learning, Using Tensor Flow And Keras: From Beginner To Advance
Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions
The Art of Computer Programming, Volume 1, Fascicle 1: MMIX -- A RISC Computer for the New Millennium
Modern X86 Assembly Language Programming: Covers x86 64-bit, AVX, AVX2, and AVX-512
The Art of Computer Programming, Volume 4, Fascicle 6: Satisfiability
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow: Step-by-Step Tutorial For Beginners.