9798256123307 - technical foundations of business ai: a prerequisite guide to python, math, and intelligent systems di scott, lucy (8 risultati)
- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 94,47
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
- Brossura
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 104,80
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 99,31
EUR 6,84 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
- Brossura
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 94,46
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
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 m…ajors. 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.
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 105,62
EUR 43,12 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
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 m…ajors. 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.
- Brossura
- Print on Demand
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 121,92
EUR 32,01 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
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 m…ajors. 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.
Technical Foundations of Business AI | A Prerequisite Guide to Python, Math, and Intelligent Systems
- Brossura
- Print on Demand
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 113,65
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
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.
Technical Foundations of Business AI : A Prerequisite Guide to Python, Math, and Intelligent Systems
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 132,00
EUR 64,07 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
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.
