Most Read This Week In Computer Science

Computer science is the scientific and practical approach to computation and its applications. It is the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information, whether such information is encoded as bits in a computer memory or transcribed in genes and protein structures in a biological cell. A computer scientist specializes in the theory of computation and the design of computational systems.

Most Read This Week Tagged "Computer Science"

The Reverse Centaur's Guide to Life After AI
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
Supremacy: AI, ChatGPT, and the Race That Will Change the World
The Singularity Is Nearer: When We Merge with AI
This Is How They Tell Me the World Ends: The Cyberweapons Arms Race
Why Machines Learn: The Elegant Math Behind Modern AI
Focus: The ASML way - Inside the power struggle over the most complex machine on earth
Maintenance of Everything: Part One
Quo vAIdis
The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Quantum Supremacy
AI 2041: Ten Visions for Our Future
A Thousand Brains: A New Theory of Intelligence
Everything Is Predictable: How Bayesian Statistics Explain Our World
Maskiner som tenker
Picks and Shovels (Martin Hench, #3)
This Is for Everyone: The Unfinished Story of the World Wide Web
Genesis: Artificial Intelligence, Hope, and the Human Spirit
These Strange New Minds: How AI Learned to Talk and What It Means
Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World
The Laws of Thought: The Quest for a Mathematical Theory of the Mind
Code Dependent: Living in the Shadow of AI
The Internet Con: How to Seize the Means of Computation
Doom Guy: Life in First Person: Building DOOM and a Gaming Revolution
Open Circuits: The Inner Beauty of Electronic Components (Packaging may vary)
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy
Data Mesh: Delivering Data-Driven Value at Scale
Devil in the Stack: A Coding Odyssey
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Escape from Model Land...
 
by
Erica Thompson
Engineering Management for the Rest of Us
Reality+: Virtual Worlds and the Problems of Philosophy
CompTIA A+ Certification All-in-One Exam Guide, Eleventh Edition (Exams 220-1101 & 220-1102)
The Software Engineer's Guidebook: Navigating senior, tech lead, and staff engineer positions at tech companies and startups
Practical UI
More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech
Pegasus: How a Spy in Your Pocket Threatens the End of Privacy, Dignity, and Democracy
Internet
Etica dell'intelligenza artificiale
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Rust for Rustaceans
Androids: The Team That Built the Android Operating System
Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
Continuous Delivery Pipelines - How to Build Better Software Faster
Futureproof: 9 Rules for Humans in the Age of Automation
A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going
Crafting Interpreters
Ethical Hacking: A Hands-on Introduction to Breaking In
Data Quality Fundamentals
Deep Dive: Exploring the Real-world Value of Open Source Intelligence
Software Architecture Metrics
The Chinese Computer: A Global History of the Information Age (Studies of the Weatherhead East Asian Institute, Columbia University)
The Engineering Executive's Primer: Impactful Technical Leadership
Future Tense: How We Made Artificial Intelligence—and How It Will Change Everything
Means of Control: How the Hidden Alliance of Tech and Government Is Creating a New American Surveillance State
Literary Theory for Robots: How Computers Learned to Write (A Norton Short)
Architecture Modernization - Socio-technical alignment of software, strategy, and structure
A Biography of the Pixel (Leonardo)
Efficient Linux at the Command Line
Learning Modern Linux: A Handbook for the Cloud Native Practitioner
The History of the Computer
Clean Craftsmanship: Disciplines, Standards, and Ethics
Street Coder
AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence
Continuous Architecture in Practice: Software Architecture in the Age of Agility and DevOps.
The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do
We See It All: Liberty and Justice in an Age of Perpetual Surveillance
Software Architecture in Practice
Building Evolutionary Architectures: Support Constant Change

There are 2 hard problems in computer science: cache invalidation, naming things, and off-by-1 errors.
Leon Bambrick

Cory  Althoff
You are not reading this book because a teacher assigned it to you, you are reading it because you have a desire to learn, and wanting to learn is the biggest advantage you can have.
Cory Althoff, The Self-Taught Programmer: The Definitive Guide to Programming Professionally

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