9798257440991 - the ai career kickstart: a first-principles roadmap to learning mathematics, data science, and artificial intelligence for the real world book image di nayak, ravindra kumar (3 risultati)
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 14,66
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 13,47
EUR 4,85 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.
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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 16,81
EUR 43,17 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The AI Career Kickstart is a clear and practical guide for students, beginners, and future-ready learners who want to understand artificial intelligence, mathematics, data science, and career building from first principles.In a world full of noise, endless courses, changing tools, and confu…sing advice, this book offers something different: clarity.It explains what AI really is, why mathematics still matters, how data science and AI careers actually work, and what a beginner should do step by step to build a strong future. Written in simple, engaging English, this book is especially designed for readers age 14 and above who want direction without hype.Inside this book, you will learn: how the AI world is changing work, learning, and careershow to understand AI, machine learning, deep learning, and data science clearlywhy mathematics is not just for exams, but for thinkinghow to reduce fear around math and build real understandingthe difference between data analyst, data scientist, ML engineer, and AI engineerhow to choose the right path based on your interests and strengthshow to build learning discipline, projects, portfolio, and credibilityhow to stay relevant in a rapidly changing world without getting distractedThis is not a book of hype.It is a book of structure.It is not about collecting information.It is about building a roadmap.Whether you are a student, a beginner, a slow but serious learner, or someone trying to understand how to start in AI and data science, this book gives you a grounded path forward.If you want a calm, practical, first-principles guide to starting strong in the AI world, this book is for you. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
