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SoBrief

コンピュータサイエンス 本の要約

Fundamentals of Machine Learning for Predictive Data Analytics
著: John D. Kelleher • 2015
Pick the right machine learning approach for any business problem, guided by real case studies.
4.35
105
Fundamentals of Machine Learning for Predictive Data Analytics 要約
Fundamentals of Machine Learning for Predictive Data Analytics
Pick the right machine learning approach for any business problem, guided by real case studies.
著: John D. Kelleher 2015 867 ページ
4.35
105 件の評価
Machine Learning
著: Ethem Alpaydin • 2016
From spam filters to self-driving cars: the algorithms that learn from data, and what comes next.
3.62
1,000+
Machine Learning 要約
Machine Learning
From spam filters to self-driving cars: the algorithms that learn from data, and what comes next.
著: Ethem Alpaydin 2016 230 ページ
3.62
1,000+ 件の評価
Deep Learning
著: John D. Kelleher • 2019
Deep learning isn't clever math. It's simple neurons, wired at scale, learning from their mistakes.
3.89
473
Deep Learning 要約
Deep Learning
Deep learning isn't clever math. It's simple neurons, wired at scale, learning from their mistakes.
著: John D. Kelleher 2019 296 ページ
3.89
473 件の評価
Learning Go
著: Jon Bodner • 2021
Go's power is what it omits. Learn the idioms that keep code readable for decades.
4.42
493
Learning Go 要約
Learning Go
Go's power is what it omits. Learn the idioms that keep code readable for decades.
著: Jon Bodner 2021 375 ページ
4.42
493 件の評価
Object-Oriented Software Construction
著: Bertrand Meyer • 1988
Before running code, define the contract: how agreements between objects produce reliable software.
4.04
271
Object-Oriented Software Construction 要約
Object-Oriented Software Construction
Before running code, define the contract: how agreements between objects produce reliable software.
著: Bertrand Meyer 1988 1296 ページ
4.04
271 件の評価
Artificial Intelligence
著: Lasse Rouhiainen • 2018
An AI 101: the tech, the jobs at risk, and the one skill machines can't touch.
3.92
314
Artificial Intelligence 要約
Artificial Intelligence
An AI 101: the tech, the jobs at risk, and the one skill machines can't touch.
著: Lasse Rouhiainen 2018 300 ページ
3.92
314 件の評価
Understanding and Using C Pointers
著: Richard Reese • 2013
Pointers are C's sharpest tool. This is how to stop cutting yourself.
4.15
183
Understanding and Using C Pointers 要約
Understanding and Using C Pointers
Pointers are C's sharpest tool. This is how to stop cutting yourself.
著: Richard Reese 2013 223 ページ
4.15
183 件の評価
The Red Web
著: Andrei Soldatov • 2015
The Soviet Union fell but its surveillance state survived, rewired for the internet age.
3.95
500+
The Red Web 要約
The Red Web
The Soviet Union fell but its surveillance state survived, rewired for the internet age.
著: Andrei Soldatov 2015 384 ページ
3.95
500+ 件の評価
Visual Thinking
著: Colin Ware • 2008
Vision is not a camera. Design for how the brain samples, scans, and skips.
3.81
189
Visual Thinking 要約
Visual Thinking
Vision is not a camera. Design for how the brain samples, scans, and skips.
著: Colin Ware 2008 210 ページ
3.81
189 件の評価
A Human Algorithm
著: Flynn Coleman • 2019
Machines are learning to think. The real question is whether we will remember how to feel.
3.58
299
A Human Algorithm 要約
A Human Algorithm
Machines are learning to think. The real question is whether we will remember how to feel.
著: Flynn Coleman 2019 336 ページ
3.58
299 件の評価
Symmetry
著: Marcus du Sautoy • 2007
Symmetry is not just pretty. It solves equations, builds viruses, and corrects your text messages.
3.82
500+
Symmetry 要約
Symmetry
Symmetry is not just pretty. It solves equations, builds viruses, and corrects your text messages.
著: Marcus du Sautoy 2007 384 ページ
3.82
500+ 件の評価
Creativity Code
著: Marcus du Sautoy • 2019
AI paints, composes, writes. But can a machine truly be creative? A mathematician investigates.
3.94
1,000+
Creativity Code 要約
Creativity Code
AI paints, composes, writes. But can a machine truly be creative? A mathematician investigates.
著: Marcus du Sautoy 2019 336 ページ
3.94
1,000+ 件の評価
Applied Artificial Intelligence
著: Mariya Yao • 2018
AI that doesn't pay for itself is overhead. The business leader's framework for picking what wins.
3.57
410
Applied Artificial Intelligence 要約
Applied Artificial Intelligence
AI that doesn't pay for itself is overhead. The business leader's framework for picking what wins.
著: Mariya Yao 2018 201 ページ
3.57
410 件の評価
PHP and MySQL Web Development
著: Luke Welling • 2003
Build a database-backed site with PHP and MySQL: setup, queries, security, and path to production.
3.96
500+
PHP and MySQL Web Development 要約
PHP and MySQL Web Development
Build a database-backed site with PHP and MySQL: setup, queries, security, and path to production.
著: Luke Welling 2003
3.96
500+ 件の評価
Numsense! Data Science for the Layman
著: Annalyn Ng • 2017
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
4.14
500+
Numsense! Data Science for the Layman 要約
Numsense! Data Science for the Layman
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
著: Annalyn Ng 2017 147 ページ
4.14
500+ 件の評価
Writing High-Performance .NET Code
著: Ben Watson • 2014
Stop guessing why .NET drags. Measure, master the GC, and fix the real bottlenecks.
4.30
291
Writing High-Performance .NET Code 要約
Writing High-Performance .NET Code
Stop guessing why .NET drags. Measure, master the GC, and fix the real bottlenecks.
著: Ben Watson 2014 280 ページ
4.30
291 件の評価
A Brief History of Intelligence
著: Max Solomon Bennett • 2023
Five evolutionary breakthroughs built your brain. Each one reveals what AI is still missing.
4.46
4,000+
A Brief History of Intelligence 要約
A Brief History of Intelligence
Five evolutionary breakthroughs built your brain. Each one reveals what AI is still missing.
著: Max Solomon Bennett 2023 432 ページ
4.46
4,000+ 件の評価
More Joel on Software
著: Joel Spolsky • 2008
Ship on schedule, hire developers who skip the job boards, and know when fixing beats rewriting.
4.05
500+
More Joel on Software 要約
More Joel on Software
Ship on schedule, hire developers who skip the job boards, and know when fixing beats rewriting.
著: Joel Spolsky 2008 320 ページ
4.05
500+ 件の評価
Fundamentals of Digital Image Processing
著: Anil K. Jain • 1988
From pixel to picture: the math that samples, restores, compresses, and reconstructs digital images.
3.98
145
Fundamentals of Digital Image Processing 要約
Fundamentals of Digital Image Processing
From pixel to picture: the math that samples, restores, compresses, and reconstructs digital images.
著: Anil K. Jain 1988 569 ページ
3.98
145 件の評価
The Right to Privacy
著: Ellen Alderman • 1995
Privacy: the fundamental right the Constitution never names, and the court cases that invented it.
3.96
339
The Right to Privacy 要約
The Right to Privacy
Privacy: the fundamental right the Constitution never names, and the court cases that invented it.
著: Ellen Alderman 1995 432 ページ
3.96
339 件の評価
The Art of SQL
著: Stephane Faroult • 2006
SQL performance lives in the gap between relational theory and disk reality.
3.98
170
The Art of SQL 要約
The Art of SQL
SQL performance lives in the gap between relational theory and disk reality.
著: Stephane Faroult 2006 370 ページ
3.98
170 件の評価
UX Research
著: Brad Nunnally • 2016
What to ask, who to ask, and how to turn their answers into better products.
3.68
263
UX Research 要約
UX Research
What to ask, who to ask, and how to turn their answers into better products.
著: Brad Nunnally 2016 256 ページ
3.68
263 件の評価
CompTIA Security+ Get Certified Get Ahead
著: Darril Gibson • 2021
The SY0-601 guide that explains why security controls work, not just which acronym to memorize.
4.57
145
CompTIA Security+ Get Certified Get Ahead 要約
CompTIA Security+ Get Certified Get Ahead
The SY0-601 guide that explains why security controls work, not just which acronym to memorize.
著: Darril Gibson 2021 1120 ページ
4.57
145 件の評価
Once Upon an Algorithm
著: Martin Erwig • 2017
What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.
3.63
265
Once Upon an Algorithm 要約
Once Upon an Algorithm
What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.
著: Martin Erwig 2017 336 ページ
3.63
265 件の評価
Cloud Architecture Patterns
著: Bill Wilder • 2012
Scale out, not up: the patterns that make cloud apps resilient, cheap, and self-healing.
3.59
236
Cloud Architecture Patterns 要約
Cloud Architecture Patterns
Scale out, not up: the patterns that make cloud apps resilient, cheap, and self-healing.
著: Bill Wilder 2012 182 ページ
3.59
236 件の評価
Software Architecture Patterns
著: Mark Richards • 2015
Five architecture patterns, their trade-offs, and how to pick the one your system actually needs.
3.65
498
Software Architecture Patterns 要約
Software Architecture Patterns
Five architecture patterns, their trade-offs, and how to pick the one your system actually needs.
著: Mark Richards 2015 47 ページ
3.65
498 件の評価
AI-Powered Commerce
著: Andy Pandharikar • 2022
Skip the guesswork: AI mines market data to surface product ideas, white space, and demand signals.
AI-Powered Commerce 要約
AI-Powered Commerce
Skip the guesswork: AI mines market data to surface product ideas, white space, and demand signals.
著: Andy Pandharikar 2022 256 ページ
Programming C#
著: Jesse Liberty • 2001
C# from the ground up: objects, events, Windows interfaces, and the database that drives them.
3.68
195
Programming C# 要約
Programming C#
C# from the ground up: objects, events, Windows interfaces, and the database that drives them.
著: Jesse Liberty 2001 688 ページ
3.68
195 件の評価
No Tech Hacking
著: Johnny Long • 2007
Hacking without technology: how open dumpsters, shoulder glances, and held doors break security.
3.94
220
No Tech Hacking 要約
No Tech Hacking
Hacking without technology: how open dumpsters, shoulder glances, and held doors break security.
著: Johnny Long 2007 384 ページ
3.94
220 件の評価
Hackers & Painters
著: Paul Graham • 2004
Making beautiful things, breaking dumb rules, and why the kid you ignored is building your future.
4.05
9,000+
Hackers & Painters 要約
Hackers & Painters
Making beautiful things, breaking dumb rules, and why the kid you ignored is building your future.
著: Paul Graham 2004 272 ページ
4.05
9,000+ 件の評価
Machine Learning for Dummies
著: John Paul Mueller • 2016
Machine learning demystified: pick the right algorithm, train it well, and know when it works.
3.53
139
Machine Learning for Dummies 要約
Machine Learning for Dummies
Machine learning demystified: pick the right algorithm, train it well, and know when it works.
著: John Paul Mueller 2016 410 ページ
3.53
139 件の評価
Big Data
著: Bernard Marr • 2015
Most data projects fail because they start with data, not strategy. Five questions change that.
3.59
416
Big Data 要約
Big Data
Most data projects fail because they start with data, not strategy. Five questions change that.
著: Bernard Marr 2015 233 ページ
3.59
416 件の評価
The AI Book
著: Susanne Chishti • 2020
AI isn't incremental; it's a step change in finance. What investors and entrepreneurs must know now.
3.53
17
The AI Book 要約
The AI Book
AI isn't incremental; it's a step change in finance. What investors and entrepreneurs must know now.
著: Susanne Chishti 2020 304 ページ
3.53
17 件の評価
Machine Learning with R
著: Brett Lantz • 2015
Build the algorithms that catch spam, flag fraud, and recommend products: a hands-on guide in R.
4.20
312
Machine Learning with R 要約
Machine Learning with R
Build the algorithms that catch spam, flag fraud, and recommend products: a hands-on guide in R.
著: Brett Lantz 2015 375 ページ
4.20
312 件の評価
Linguistic Fingerprints
著: Roger J. Kreuz • 2023
The hidden patterns in your words identify you better than fingerprints: stylometry reads them.
3.50
20
Linguistic Fingerprints 要約
Linguistic Fingerprints
The hidden patterns in your words identify you better than fingerprints: stylometry reads them.
著: Roger J. Kreuz 2023 245 ページ
3.50
20 件の評価
Domain-Driven Design Quickly
著: Floyd Marinescu • 2006
Business and code speak different languages. The modeling method that forces them to share one.
3.59
500+
Domain-Driven Design Quickly 要約
Domain-Driven Design Quickly
Business and code speak different languages. The modeling method that forces them to share one.
著: Floyd Marinescu 2006 104 ページ
3.59
500+ 件の評価
Python for Geeks
著: Muhammad Asif • 2021
Machine learning from notebook to production: Python libraries, data prep, and deployment paths.
4.50
8
Python for Geeks 要約
Python for Geeks
Machine learning from notebook to production: Python libraries, data prep, and deployment paths.
著: Muhammad Asif 2021 546 ページ
4.50
8 件の評価
Virtually Human
著: Martine Rothblatt • 2014
Software copies of human minds will outlive bodies and demand citizenship. They're almost here.
3.51
182
Virtually Human 要約
Virtually Human
Software copies of human minds will outlive bodies and demand citizenship. They're almost here.
著: Martine Rothblatt 2014 368 ページ
3.51
182 件の評価
14 Habits of Highly Productive Developers
著: Zeno Rocha • 2020
Fourteen habits for developers who want to stop sprinting and start compounding.
4.00
500+
14 Habits of Highly Productive Developers 要約
14 Habits of Highly Productive Developers
Fourteen habits for developers who want to stop sprinting and start compounding.
著: Zeno Rocha 2020 158 ページ
4.00
500+ 件の評価
Neural Networks, Fuzzy Logic And Genetic Algorithms
著: S. Rajasekaran • 2004
Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.
4.21
151
Neural Networks, Fuzzy Logic And Genetic Algorithms 要約
Neural Networks, Fuzzy Logic And Genetic Algorithms
Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.
著: S. Rajasekaran 2004 627 ページ
4.21
151 件の評価
How Data Happened
著: Chris Wiggins • 2023
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
3.54
467
How Data Happened 要約
How Data Happened
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
著: Chris Wiggins 2023 384 ページ
3.54
467 件の評価
Entry and Exit Confessions of a Champion Trader
著: Kevin J. Davey • 2019
A champion's playbook: 41 entries, 11 exits, and the testing rigor to build systems that work.
3.64
99
Entry and Exit Confessions of a Champion Trader 要約
Entry and Exit Confessions of a Champion Trader
A champion's playbook: 41 entries, 11 exits, and the testing rigor to build systems that work.
著: Kevin J. Davey 2019 100 ページ
3.64
99 件の評価
Docker
著: カール・マティアス • 2015
Production Docker: the patterns for images, networking, and orchestration that prevent 3-AM pages.
3.77
459
Docker 要約
Docker
Production Docker: the patterns for images, networking, and orchestration that prevent 3-AM pages.
著: カール・マティアス 2015 232 ページ
3.77
459 件の評価
Ada's Algorithm
著: James Essinger • 2013
In 1843, Ada Lovelace wrote the first computer program and imagined machines that compose music.
3.27
1,000+
Ada's Algorithm 要約
Ada's Algorithm
In 1843, Ada Lovelace wrote the first computer program and imagined machines that compose music.
著: James Essinger 2013 256 ページ
3.27
1,000+ 件の評価
Computational Thinking
著: Peter J. Denning • 2019
It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.
3.63
304
Computational Thinking 要約
Computational Thinking
It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.
著: Peter J. Denning 2019 246 ページ
3.63
304 件の評価
Writing Secure Code
著: Michael Howard • 2001
Every exploit begins with data your code trusted. The developer's manual for input validation.
4.01
372
Writing Secure Code 要約
Writing Secure Code
Every exploit begins with data your code trusted. The developer's manual for input validation.
著: Michael Howard 2001 768 ページ
4.01
372 件の評価
Learn Python 3 the Hard Way
著: Zed A. Shaw • 2017
Python without the hand-holding: type every line, debug every error, and build from the terminal up.
3.92
500+
Learn Python 3 the Hard Way 要約
Learn Python 3 the Hard Way
Python without the hand-holding: type every line, debug every error, and build from the terminal up.
著: Zed A. Shaw 2017 319 ページ
3.92
500+ 件の評価
The Book of Why
著: Judea Pearl • 2018
Data can't tell you why. A mathematical science of cause and effect finally can.
3.93
6,000+
The Book of Why 要約
The Book of Why
Data can't tell you why. A mathematical science of cause and effect finally can.
著: Judea Pearl 2018 432 ページ
3.93
6,000+ 件の評価
Software Architect’s Handbook
著: Joseph Ingeno • 2018
Your architecture choices outlive your code. A field manual for making them count.
4.08
61
Software Architect’s Handbook 要約
Software Architect’s Handbook
Your architecture choices outlive your code. A field manual for making them count.
著: Joseph Ingeno 2018 596 ページ
4.08
61 件の評価
CCNA 200-301 Official Cert Guide, Volume 1
著: Wendell Odom • 2019
Not just the answers: the CLI habit, subnetting speed, and network reasoning the CCNA requires.
4.53
161
CCNA 200-301 Official Cert Guide, Volume 1 要約
CCNA 200-301 Official Cert Guide, Volume 1
Not just the answers: the CLI habit, subnetting speed, and network reasoning the CCNA requires.
著: Wendell Odom 2019 848 ページ
4.53
161 件の評価
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