Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.

第三次人工知能(AI)ブームの中核的役割を果たす深層学習(ディープ・ラーニング)は、その高い信頼性と汎用性ゆえに様々な領域に応用されていく一方で、

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

In this book, technical strategist Sarah Wells provides practical, in-depth advice for moving to microservices. Having built her first microservices architecture in 2013 for the Financial Times, Sarah discusses the approaches you need to take from the start, and explains the potential traps most likely to trip you up. You'll also learn how to maintain the architecture as your systems mature while minimizing the time you spend on support and maintenance.

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer - but only if you work at it.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

不適切ではなく、これが仕事の正解！メールは１往復×メールのラリーは自分で終える〇タイパ重視では、結局損をしますよ。読んだ次の日に早速、試したくなりました！‐２０代　女性

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

In the past few years, a number of well-known firms have failed; think of Blockbuster, Kodak, or RadioShack. When we hear about their demise, it often seems inevitable - a natural part of "creative destruction." But closer examination reveals a disturbing truth: Companies large and small are shuttering more quickly than ever. What does it take to buck this trend? The simple answer is: ambidexterity. Firms must remain competitive in their core markets, while also winning in new domains.

宇宙飛行士 山崎直子さん推薦！！！！「未来に向き合うときの羅針盤となる本です！」子ども向け未来予測の決定版！あなたの常識がひっくり返ること間違いなし！

Tap into the wisdom of experts to learn what every engineering manager should know. With ninety-seven short and extremely useful tips for engineering managers, you'll discover new approaches to old problems, pick up road-tested best practices, and hone your management skills through sound advice.

忙しい毎日を過ごしている現代人にとって、「せっかちに行動すること」は理に適っている――本書は、せっかち力を駆使して仕事と信頼を獲得してきた著者による、せっかちな性格を活かしながら、効率よく、効果的に仕事をするための方法をまとめた本です。

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

「なぜ？」「どうして？」その裏側には、ちゃんと理由があります。「落ち着きがない」「衝動的な言動が多い」「仕事でミスが多い」……そんな発達障害の方の行動が気になっている人、多いかもしれません。

There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.

生産技術とは、企業の工場や生産現場において生産ラインの設計や管理を行う仕事。自動化が進んでいるとはいえ、製造の過程には人間の手が欠かせず、生産技術は将来に渡ってニーズのある必要性の高い仕事といえる。本書は、生産技術業務や他の工場系の業務（生産管理・品質管理・品質保証など）についてのあるあるを、生産技術職YouTuberである著者がまとめたもの。

This audiobook is about luck, or more precisely, how we perceive and deal with luck in life and business. It is already a landmark work, and its title has entered our vocabulary. In its second edition, Fooled by Randomness is now a cornerstone for anyone interested in random outcomes.

これまで数多くの一般向け統計本が出版され、人気を博してきた。だがその多くは「こんなデタラメな統計や調査がありますので、気をつけましょう」といったメッセージを発するものだった。

Naval Ravikant is an entrepreneur, philosopher, and investor who has captivated the world with his principles for building wealth and creating long-term happiness. The Almanack of Naval Ravikant is a collection of Naval’s wisdom and experience from the last 10 years, shared as a curation of his most insightful interviews and poignant reflections. This isn’t a how-to book, or a step-by-step gimmick. Instead, through Naval’s own words, you will learn how to walk your own unique path toward a happier, wealthier life.

正解のない選択肢の中からでも最善手を見出し、選び取るためのテクニック!
人生もビジネスも選択の連続。
「何かをする、しない」「いつやるか」「どのようなやり方をするか」など、意識している