Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning
genuine image
Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning
Master linear algebra, calculus, and probability theory for ML.
Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning
Numéro d'article: 139778066

Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning

Numéro d'article: 139778066

HTG 9410

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from États-Unis

En stock
États-Unis Importé depuis la boutique USA

QTY:

Commandez maintenant et recevez votre commande aux alentours du Samedi, Juillet 25
Transaction sécuriséeTransaction sécurisée

Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Master linear algebra, calculus, and probability theory for ML.
Garantie U-Care :
Aucun
Sélectionnez un forfait
fast shipping

Livraison
rapide

free return

Retour
gratuit*

Emballage sécurisé

Emballage sécurisé

Produits 100 % originaux

Produits 100 % originaux

pci-dss

Conformité PCI DSS

iso certified

Certifié ISO 27001

paypal payment
visa payment
mastercard payment

Ce qui se démarque

Comprehensive Curriculum
Covers essential topics like linear algebra, calculus, and probability specifically for machine learning applications, ensuring students acquire foundational skills vital for advanced studies and practical implementations.
Practical Applications
Focuses on real-world scenarios where mathematical concepts are applied in machine learning, bridging the gap between theory and practice, thereby enhancing learners' problem-solving abilities.
Expert Guidance
Designed and taught by industry professionals and academics, offering insights into cutting-edge techniques and methodologies, thus providing learners with valuable mentorship and networking opportunities.

Détails du produit

Shop Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning online at a best price in Haiti. 1837027870
Item Weight1 lbs (450 grams)

À qui est-ce destiné ?

Suitable For
  • Aspiring Data Scientists

    Ideal for those starting a career in data science seeking foundational knowledge in mathematical concepts for machine learning.

  • Undergraduate Students

    University students pursuing courses in mathematics, statistics, or computer science will find this material enhances their understanding.

  • Machine Learning Enthusiasts

    Individuals interested in deepening their knowledge of machine learning frameworks and algorithms through mathematical principles will benefit.

Not Suitable For
  • Beginners Without Background

    Complete beginners with no mathematical foundation may struggle and find the concepts too advanced or overwhelming.

DESCRIPTION DU PRODUIT

Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What topics are covered in the Mathematics of Machine Learning book?

    répondre: The book covers essential topics including linear algebra, calculus, and probability, which are fundamental for understanding machine learning algorithms. These subjects help build a strong mathematical foundation necessary for grasping complex machine learning concepts. For instance, linear algebra is critical for understanding data structures in machine learning, while calculus is important for optimization techniques. This foundational knowledge enables readers to effectively develop, implement, and troubleshoot machine learning models.
  • question: Who is the target audience for this book?

    répondre: This book is designed for students, professionals, and anyone interested in mastering the mathematical concepts behind machine learning. It's ideal for those who already have a basic understanding of mathematics and are looking to deepen their knowledge for practical applications in data science and machine learning projects. By tackling real-world problems and examples, readers can effectively apply mathematical theories to various machine learning scenarios in industries such as finance, healthcare, and technology.
  • question: How can mastering mathematics improve my machine learning skills?

    répondre: Mastering mathematics enhances your ability to understand and implement machine learning algorithms more effectively. A strong grasp of linear algebra allows you to manipulate data structures, while calculus helps you optimize models through techniques like gradient descent. Probability enables you to assess model accuracy and uncertainty. This knowledge not only aids in better model performance but also allows you to critically evaluate and troubleshoot existing algorithms in real-world applications.
  • question: Is prior knowledge of mathematics required to read this book?

    répondre: While prior exposure to basic mathematical concepts is beneficial, the book provides thorough explanations to accommodate readers with varying levels of expertise. It gradually introduces more complex topics, ensuring that even those with limited backgrounds in mathematics can grasp the essential ideas. This structured approach allows readers to build confidence and gradually tackle more intricate topics relevant to machine learning, making it accessible for self-learners and students alike.
  • question: What practical applications does knowledge from this book enable?

    répondre: Knowledge from this book equips you for various applications in fields such as data analysis, artificial intelligence, and predictive modeling. By mastering the underlying mathematical principles, you can design machine learning algorithms, build predictive models, or analyze large datasets effectively. Whether working on a personal project, contributing to a research initiative, or pursuing a career in data science, the skills gained from this book can significantly enhance your ability to solve real-world problems powered by machine learning.
  • question: Can this book help with preparing for machine learning interviews?

    répondre: Absolutely! This book is an excellent resource for honing the mathematical skills often assessed in machine learning job interviews. By thoroughly understanding linear algebra, calculus, and probability, you can confidently answer technical questions and tackle case studies related to algorithm design and data interpretation. The comprehensive coverage of mathematical concepts ensures you are well-prepared to demonstrate your analytical capabilities in interviews, making you a strong candidate in the competitive job market of data science.
  • question: How does this book compare to other machine learning resources?

    répondre: This book stands out by focusing specifically on the mathematical foundations of machine learning, rather than solely on programming or application tools. Many resources may emphasize case studies or software implementation, while this one prioritizes the underlying mathematics, allowing for a deep understanding of how algorithms function. This unique emphasis prepares readers not just to use machine learning tools, but to innovate and troubleshoot, making it an excellent companion to more application-focused texts.
  • question: Are there exercises or practical examples included in the book?

    répondre: Yes, the book includes various exercises and practical examples to reinforce the mathematical concepts covered. These examples not only illustrate the theoretical points but also encourage readers to apply what they have learned to real-world problems. Engaging with these exercises helps to solidify understanding and creates a pathway for learners to connect theory with practice, which is crucial in mastering the application of mathematics in machine learning.
  • question: Where can I buy Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning in Haiti?

    répondre: You can purchase the Mathematics of Machine Learning from Ubuy in Haiti. Ubuy offers a wide range of books, including those focused on mathematics and machine learning. Shopping through Ubuy provides you with a convenient platform to explore various editions, compare options, and find related products to enhance your knowledge in machine learning.
  • question: What skills can I expect to gain after reading this book?

    répondre: After reading this book, you can expect to gain a strong foundation in mathematics that enhances your analytical skills. You’ll learn how to manipulate and analyze data using linear algebra, apply calculus to optimize machine learning models, and understand the principles of probability that underpin data-driven decisions. These skills are vital in various applications, enabling you to tackle complex problems and innovate within the field of machine learning confidently.

Mathematical Analysis Editorial Review

Aucune critique éditoriale trouvée

Avis et évaluations clients

5.0
1 évaluations des clients
  • 5 étoile
    100%
  • 4 étoile
    0%
  • 3 étoile
    0%
  • 2 étoile
    0%
  • 1 étoile
    0%

Donnez votre avis sur ce produit

Partagez votre avis avec d'autres clients

Platform Trust & Buyer Confidence

trustpilot logo
4.3/5 9,000 + reviews
Read reviews
MT
Mohd
Verified buyer

“The product received very good packaging & safe…Thank You”

16 June 2026 · via Trustpilot
SJ
Shawati
Verified buyer

“Accurate delivery timing given”

16 June 2026 · via Trustpilot
YB
Youcef
Verified buyer

“Not madly expensive like I thought, and much quicker than promised.”

15 June 2026 · via Trustpilot
LM
Leila
Verified buyer

“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”

6/7/2026 · via Trustpilot
KA
Kwame
Verified buyer

“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”

12 June 2026 · via Trustpilot
Paiement sécurisé Global Delivery Easy Returns Genuine Products

Historique des prix du produit

Informations importantes

  • Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
  • Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.

HTG 9410

Commandez maintenant et recevez votre commande aux alentours du Samedi, Juillet 25

QTY:

Transaction sécuriséeTransaction sécurisée

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Livraison transfrontalière la plus rapide

Caractéristiques et avantages

  • Comprehensive guide to the mathematics behind machine learning.
  • Covers linear algebra, calculus, and probability with practical Python examples.
  • Written by PhD mathematician and ML engineer Tivadar Danka.
  • Ideal for engineers, developers, and data scientists looking to enhance their expertise.
  • Balances theory with real-world applications in machine learning.
  • Includes a free PDF eBook with the purchase of print or Kindle version.

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.