Isbn: 9798256123307 - technical foundations of business ai: a prerequisite guide to python, math, and intelligent systems (8 risultati)

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: new. Paperback. This book complements another book of ours. That book covers an introduction to the foundations of artificial intelligence (AI) in business, with minimal technical jargon. This book focuses on the technical side, yet remains accessible enough for business managers and non-computer science majors. It covers topics including Python, linear algebra, calculus, probability, statistics, problem-solving and search, knowledge representation, reasoning and decision making, and learning in intelligent systems. Each topic is covered in just enough depth to prepare you for your journey to understand the what and why behind courses such as machine learning, deep learning, natural language processing, computer vision, reinforcement learning, and large language models. We believe anyone can learn AI if they put in enough effort and know-how. To support active learning, the book incorporates a variety of pedagogical tools: multiple-choice questions embedded throughout each section to help readers test and reinforce their grasp of key concepts as they progress, and hands-on exercises that connect theoretical concepts directly to real-world business operations and decision-making. Through this balanced approach, readers gain a solid understanding of essential AI prerequisite concepts. This book complements another book of ours. That book covers an introduction to AI in business. This book focuses on the technical side, yet remains accessible enough for business managers and non-computer science majors. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. This book complements another book of ours. That book covers an introduction to the foundations of artificial intelligence (AI) in business, with minimal technical jargon. This book focuses on the technical side, yet remains accessible enough for business managers and non-computer science majors. It covers topics including Python, linear algebra, calculus, probability, statistics, problem-solving and search, knowledge representation, reasoning and decision making, and learning in intelligent systems. Each topic is covered in just enough depth to prepare you for your journey to understand the what and why behind courses such as machine learning, deep learning, natural language processing, computer vision, reinforcement learning, and large language models. We believe anyone can learn AI if they put in enough effort and know-how. To support active learning, the book incorporates a variety of pedagogical tools: multiple-choice questions embedded throughout each section to help readers test and reinforce their grasp of key concepts as they progress, and hands-on exercises that connect theoretical concepts directly to real-world business operations and decision-making. Through this balanced approach, readers gain a solid understanding of essential AI prerequisite concepts. This book complements another book of ours. That book covers an introduction to AI in business. This book focuses on the technical side, yet remains accessible enough for business managers and non-computer science majors. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. This book complements another book of ours. That book covers an introduction to the foundations of artificial intelligence (AI) in business, with minimal technical jargon. This book focuses on the technical side, yet remains accessible enough for business managers and non-computer science majors. It covers topics including Python, linear algebra, calculus, probability, statistics, problem-solving and search, knowledge representation, reasoning and decision making, and learning in intelligent systems. Each topic is covered in just enough depth to prepare you for your journey to understand the what and why behind courses such as machine learning, deep learning, natural language processing, computer vision, reinforcement learning, and large language models. We believe anyone can learn AI if they put in enough effort and know-how. To support active learning, the book incorporates a variety of pedagogical tools: multiple-choice questions embedded throughout each section to help readers test and reinforce their grasp of key concepts as they progress, and hands-on exercises that connect theoretical concepts directly to real-world business operations and decision-making. Through this balanced approach, readers gain a solid understanding of essential AI prerequisite concepts. This book complements another book of ours. That book covers an introduction to AI in business. This book focuses on the technical side, yet remains accessible enough for business managers and non-computer science majors. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book complements another book of ours. That book covers an introduction to the foundations of artificial intelligence (AI) in business, with minimal technical jargon. This book focuses on the technical side, yet remains accessible enough for business managers and non-computer science majors. It covers topics including Python, linear algebra, calculus, probability, statistics, problem-solving and search, knowledge representation, reasoning and decision making, and learning in intelligent systems. Each topic is covered in just enough depth to prepare you for your journey to understand the what and why behind courses such as machine learning, deep learning, natural language processing, computer vision, reinforcement learning, and large language models. We believe anyone can learn AI if they put in enough effort and know-how. To support active learning, the book incorporates a variety of pedagogical tools: multiple-choice questions embedded throughout each section to help readers test and reinforce their grasp of key concepts as they progress, and hands-on exercises that connect theoretical concepts directly to real-world business operations and decision-making. Through this balanced approach, readers gain a solid understanding of essential AI prerequisite concepts.…

Taschenbuch. Condizione: Neu. Technical Foundations of Business AI | A Prerequisite Guide to Python, Math, and Intelligent Systems | Lucy Scott | Taschenbuch | Englisch | 2026 | LS Independent Publishing | EAN 9798256123307 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…