検索キーワード： プログラミング言語

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.

Unlock the full potential of your data with the power of Python. Python for Data Science: A Practical Guide to Data Wrangling, Analysis, and Machine Learning Using Python’s Most Powerful Libraries is your comprehensive roadmap to mastering the tools and techniques that turn raw data into meaningful insights and predictive models.

「あと数年で会社はなくなる」「中国は2025年まで発展、日本は2020年以降、崖から転がるように落ち込む」「iPhoneは2016年に製造終了」……本書で語られる、衝撃的な予言の数々だ。

You probably don’t need a collection of specialty databases. Just use Postgres instead! Written for application developers and database pros, “Just Use Postgres!” shows you how to get the most out of the powerful Postgres database.

Most people don’t need “better AI.” They need control. Right now, AI feels random. Sometimes it works. Sometimes it gives you something amazing. Most of the time… it misses the mark and you don’t know why. That’s not an AI problem. That’s a communication problem. Nano Banana Pro was written to fix that. This is not a theory book. It’s not a hype book. And it’s definitely not a “here’s what AI might do someday” book.

Grokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence.

Maximize your portfolio, analyze markets, and make data-driven investment decisions using Python and generative AI. Investing for Programmers shows you how you can turn your existing skills as a programmer into a knack for making sharper investment choices.

自分の国がいつできたのか答えられますか？学校が教えてくれない「世界最古の国」の奇跡を、明治天皇の玄孫にして、ベストセラー『日本はなぜ世界でいちばん人気があるのか』（PHP新書）の著者が、強い信念をもって語った意欲作。

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

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Data-driven decisions rely on statistics. Statistics Every Programmer Needs introduces the statistical and quantitative methods that will help you go beyond "gut feeling" for tasks like predicting stock prices or assessing quality control, with examples using the rich tools of the Python ecosystem.

The productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.

暴言を吐く、支配したがる、けなして自信を失わせる、優しいようで水面下で工作している、一見目立たない人を含めて、あなたの周りにはとんでもない人が隠れているかもしれない。

Whether you're a complete beginner or a systems admin looking to level up, Beginner’s Guide to PowerShell Scripting is your one-stop resource for learning how to automate Windows tasks, manage Active Directory, and even interact with cloud services like AWS and Azure using nothing but PowerShell.

Data analysis is a must-have skill that becomes more essential as the world becomes more data-driven. And one of the most effective ways to dive into data analysis is by learning a programming language. Python is a great place to start. This book explains everything you need to know to start using Python for data analysis.

Fascinated by AI but unsure where to start? Feel like the AI revolution is racing ahead without you? You haven't missed your chance—the path to AI mastery is clearer than you imagine. AI Fundamentals makes AI accessible and exciting.

The Python-Based Laboratory: A Hands-On Guide for Scientists and Engineers provides a learn-by-doing approach to acquiring the Python programming skills needed to implement computer-controlled experimental work.

Everything you need to know about Retrieval Augmented Generation in one human-friendly guide. Augmented Generation (or RAG) enhances an LLM’s available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it’s also easy to understand and implement!

Want to learn Python and start coding real apps in just 7 days? Start from scratch—even if you’ve never written a single line of code—and build real projects you’ll be proud of. In this beginner-friendly crash course, you'll learn Python the easy way with hands-on projects, clear step-by-step instructions, and zero fluff. Whether you're a total newbie, a student, or just curious about coding, this book will get you started the right way.

Learn Machine Learning While You Listen – Build Real AI Projects Without a Tech Background. Whether you're driving, working out, or just tired of reading screen after screen, this audiobook gives you the full crash course in machine learning — hands-free.