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Tag: Mathematics

  • Inside Mathematics: 3-Book Box Set New No Box



    Inside Mathematics: 3-Book Box Set New No Box

    Price : 24.99

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    Attention all math enthusiasts! We are thrilled to announce the release of our new Inside Mathematics 3-book box set, now available without the box.

    This set includes three essential books for anyone looking to deepen their understanding of mathematics:
    1. “Mathematical Foundations: From Basic Concepts to Advanced Theories”
    2. “Practical Applications: How Math Shapes the World Around Us”
    3. “Problem Solving Strategies: Mastering Mathematical Challenges”

    Each book is packed with valuable insights, practical examples, and engaging exercises to help you enhance your mathematical skills and knowledge. Whether you are a student, teacher, or just a curious learner, this box set is a must-have addition to your collection.

    Don’t miss out on this opportunity to delve into the fascinating world of mathematics with our Inside Mathematics 3-book box set. Get your hands on a copy today and start exploring the beauty of numbers and patterns like never before!
    #Mathematics #3Book #Box #Set #Box,ages 3+

  • Machine Learning Mathematics: – Paperback – VERY GOOD



    Machine Learning Mathematics: – Paperback – VERY GOOD

    Price : 249.52

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    Are you looking to deepen your understanding of machine learning through mathematics? Look no further than this paperback book, rated as VERY GOOD by readers and critics alike. Dive into the world of machine learning algorithms, data analysis, and statistical modeling with this comprehensive guide. Whether you’re a beginner or an experienced professional, this book is sure to enhance your knowledge and skills in the field of machine learning. Grab your copy today and start mastering the mathematics behind machine learning! #MachineLearning #Mathematics #DataScience #Paperback #VeryGood
    #Machine #Learning #Mathematics #Paperback #GOOD,machine learning: an applied mathematics introduction

  • Mathematics for Machine Learning by Cheng Soon Ong, A. Aldo Faisal and Marc…



    Mathematics for Machine Learning by Cheng Soon Ong, A. Aldo Faisal and Marc…

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    Mathematics for Machine Learning: A Comprehensive Guide by Cheng Soon Ong, A. Aldo Faisal, and Marc Peter Deisenroth

    Are you interested in diving deep into the mathematical foundations of machine learning? Look no further than “Mathematics for Machine Learning” by Cheng Soon Ong, A. Aldo Faisal, and Marc Peter Deisenroth. This comprehensive guide covers essential mathematical concepts such as linear algebra, calculus, probability, and statistics, all tailored specifically for machine learning applications.

    Whether you’re a beginner looking to build a strong mathematical foundation or an experienced practitioner wanting to deepen your understanding, this book has something for everyone. With clear explanations, practical examples, and exercises to test your understanding, “Mathematics for Machine Learning” is a must-have resource for anyone serious about mastering the mathematical underpinnings of this rapidly evolving field.

    Don’t miss out on this invaluable resource – pick up your copy today and take your machine learning skills to the next level!
    #Mathematics #Machine #Learning #Cheng #Aldo #Faisal #Marc..,machine learning: an applied mathematics introduction

  • Machine Learning: An Applied Mathematics Introduction, Wilmott, Paul, 9781916081



    Machine Learning: An Applied Mathematics Introduction, Wilmott, Paul, 9781916081

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    Machine Learning: An Applied Mathematics Introduction

    In his book “Machine Learning: An Applied Mathematics Introduction,” author Paul Wilmott delves into the world of machine learning from a mathematical perspective. This comprehensive guide is designed for students, researchers, and professionals who want to understand the principles and applications of machine learning in a mathematical context.

    Wilmott covers key topics such as regression analysis, classification, clustering, neural networks, and deep learning, all from a mathematical standpoint. By focusing on the underlying mathematical principles, readers will gain a deeper understanding of how machine learning algorithms work and how they can be applied in real-world scenarios.

    Whether you’re a beginner looking to learn the basics of machine learning or an experienced practitioner wanting to deepen your knowledge, “Machine Learning: An Applied Mathematics Introduction” is a valuable resource. With clear explanations, practical examples, and insightful insights, this book is sure to help you master the mathematical foundations of machine learning.

    ISBN: 9781916081

    Get your copy today and unlock the power of machine learning through applied mathematics!
    #Machine #Learning #Applied #Mathematics #Introduction #Wilmott #Paul,machine learning: an applied mathematics introduction

  • The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond b



    The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond b

    Price : 58.85

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    The field of machine learning is a complex and rapidly evolving discipline that combines principles of mathematics, statistics, and computer science to develop algorithms that can learn from and make predictions based on data. One of the key aspects of machine learning is supervised learning, where a model is trained on a labeled dataset to make predictions on new, unseen data.

    In “The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond,” we will explore the fundamental principles behind supervised learning algorithms, including linear regression, logistic regression, support vector machines, decision trees, and neural networks. We will delve into the mathematical foundations of these algorithms, discussing topics such as optimization, regularization, and model evaluation.

    Beyond supervised methods, we will also touch on more advanced topics in machine learning, such as unsupervised learning, reinforcement learning, and deep learning. We will discuss the mathematics behind these methods, including clustering algorithms, Markov decision processes, and convolutional neural networks.

    Whether you are a beginner looking to understand the basics of machine learning or an experienced practitioner seeking to deepen your mathematical understanding of advanced techniques, “The Mathematics of Machine Learning” will provide you with the knowledge and tools you need to excel in this exciting field. Stay tuned for upcoming lectures and discussions on this fascinating topic!
    #Mathematics #Machine #Learning #Lectures #Supervised #Methods,machine learning: an applied mathematics introduction

  • The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond,



    The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond,

    Price : 115.99

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    In the world of machine learning, understanding the mathematics behind various algorithms is crucial for building effective models. Whether you’re a beginner looking to grasp the fundamentals or an experienced practitioner seeking to deepen your knowledge, a solid foundation in mathematical concepts is essential.

    In this series of lectures, we will explore the mathematics behind supervised learning methods and beyond. From linear regression to support vector machines, decision trees to neural networks, we will delve into the underlying principles that drive these algorithms and how they can be applied to real-world data.

    Through a combination of theoretical explanations, practical examples, and hands-on exercises, participants will gain a comprehensive understanding of the mathematical concepts that underpin machine learning. Whether you’re a student, researcher, or industry professional, these lectures will equip you with the tools and knowledge needed to tackle complex problems and develop cutting-edge solutions.

    So join us as we embark on a journey through the mathematics of machine learning, and discover the power of supervised methods and beyond. Let’s unlock the potential of data and harness the predictive capabilities of machine learning algorithms to drive innovation and solve some of the world’s most pressing challenges.
    #Mathematics #Machine #Learning #Lectures #Supervised #Methods,machine learning: an applied mathematics introduction

  • Mathematics for Machine Learning by Marc Peter Deisenroth: Used



    Mathematics for Machine Learning by Marc Peter Deisenroth: Used

    Price : 100.68

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    In this post, we will explore the book “Mathematics for Machine Learning” by Marc Peter Deisenroth and how it can be used to enhance your understanding of machine learning.

    Deisenroth’s book provides a comprehensive introduction to the mathematical concepts that underpin machine learning algorithms. From linear algebra to probability theory, the book covers a wide range of topics that are essential for building and understanding machine learning models.

    One of the key strengths of the book is its focus on practical applications. Deisenroth provides numerous examples and exercises that help readers apply the mathematical concepts to real-world problems. Whether you are a beginner looking to build a solid foundation in machine learning or an experienced practitioner looking to deepen your understanding, this book has something to offer.

    Overall, “Mathematics for Machine Learning” by Marc Peter Deisenroth is a valuable resource for anyone looking to improve their mathematical skills in the context of machine learning. By using this book, you can gain a deeper understanding of the underlying principles that drive machine learning algorithms and enhance your ability to build and deploy successful models.
    #Mathematics #Machine #Learning #Marc #Peter #Deisenroth,machine learning: an applied mathematics introduction

  • Mathematics for Machine Learning by Marc Peter Deisenroth: New



    Mathematics for Machine Learning by Marc Peter Deisenroth: New

    Price : 56.64

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    Book Release!

    Exciting news for all those interested in machine learning and mathematics – Marc Peter Deisenroth has released a new book titled “Mathematics for Machine Learning”!

    In this comprehensive and accessible guide, Deisenroth breaks down the complex mathematical concepts behind machine learning algorithms, making them easier to understand and apply in real-world scenarios. Whether you’re a beginner looking to build a solid foundation in mathematics for machine learning or an experienced practitioner seeking to deepen your understanding, this book is a must-read.

    Don’t miss out on this invaluable resource – get your copy of “Mathematics for Machine Learning” by Marc Peter Deisenroth today!
    #Mathematics #Machine #Learning #Marc #Peter #Deisenroth,machine learning: an applied mathematics introduction

  • Mathematics for Machine Learning by Marc Peter Deisenroth: New



    Mathematics for Machine Learning by Marc Peter Deisenroth: New

    Price : 109.83

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    book alert! “Mathematics for Machine Learning” by Marc Peter Deisenroth is a must-read for anyone looking to deepen their understanding of the mathematical concepts behind machine learning. This comprehensive guide covers topics such as linear algebra, calculus, probability theory, and optimization, all essential for building and training machine learning models.

    Deisenroth’s clear and concise explanations make complex mathematical concepts accessible to readers of all levels, making this book a valuable resource for both beginners and experienced practitioners in the field of machine learning. Whether you’re looking to brush up on your math skills or dive deeper into the theory behind machine learning algorithms, “Mathematics for Machine Learning” is sure to be a valuable addition to your library.

    Get your copy today and take your understanding of machine learning to the next level! #MathematicsForMachineLearning #MachineLearning #NewBookAlert
    #Mathematics #Machine #Learning #Marc #Peter #Deisenroth,machine learning: an applied mathematics introduction

  • Mathematics for Machine Learning by Deisenroth, Marc Peter



    Mathematics for Machine Learning by Deisenroth, Marc Peter

    Price : 98.23

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    Mathematics for Machine Learning by Deisenroth, Marc Peter: A Comprehensive Guide

    If you’re looking to dive deep into the mathematical foundations of machine learning, then look no further than “Mathematics for Machine Learning” by Marc Peter Deisenroth. This comprehensive guide covers everything from basic linear algebra and calculus to more advanced topics such as optimization, probability theory, and information theory.

    Deisenroth, a renowned expert in the field, breaks down complex mathematical concepts into easily digestible explanations, making this book accessible to both beginners and seasoned professionals. With practical examples and exercises throughout, readers can apply their newfound knowledge to real-world machine learning problems.

    Whether you’re a student looking to solidify your understanding of the mathematics behind machine learning algorithms or a practitioner seeking to enhance your skills, “Mathematics for Machine Learning” is a must-read. So grab a copy and start unlocking the power of mathematics in your machine learning projects today.
    #Mathematics #Machine #Learning #Deisenroth #Marc #Peter,machine learning: an applied mathematics introduction

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