Calculus With Python For Data Science And Machine Learning
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Calculus With Python For Data Science And Machine Learning
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Author : Hayden Van Der Post
language : en
Publisher: Independently Published
Release Date : 2025-11-28
Calculus With Python For Data Science And Machine Learning written by Hayden Van Der Post and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-28 with Computers categories.
Reactive Publishing Modern data science and machine learning run on a mathematical engine: calculus. If you understand how functions behave, how gradients move, and how optimization algorithms learn, you gain a decisive advantage over practitioners who treat models as black boxes. This book shows you that engine with clarity, structure, and real Python implementations. Calculus with Python for Data Science and Machine Learning takes you from foundational concepts to the core mathematical tools used in today's modeling pipelines. Rather than drowning you in abstract proofs, it focuses on how calculus shapes algorithms, informs decisions, and improves model performance. You'll learn why gradients matter, how optimization works, and how mathematical structure drives learning in real systems. Each chapter connects theory to practical Python examples, allowing you to visualize concepts, manipulate functions, and build intuition that transfers directly into machine learning workflows. Inside, you'll master: - Derivatives, slopes, and rates of change for modeling and prediction - Integrals for probability, expectations, and distribution behavior - Multivariable calculus for models with many parameters - Gradient descent, learning rates, momentum, and optimization logic - Jacobians, Hessians, and curvature for advanced ML diagnostics - Calculus-driven intuition behind loss functions and regularization - How Python visualizations reveal model structure and decision boundaries - The math powering linear regression, logistic models, neural networks, and more This book teaches you how to think mathematically about machine learning. You'll understand what models are doing, why they behave the way they do, and how to refine them with precision. Whether you're building your first ML pipeline or advancing toward deeper quantitative work, this is the essential bridge between mathematics, code, and real-world modeling. If you want to elevate your data science and machine learning skills through the power of calculus, this book gives you the clearest path forward.
Statistics And Calculus With Python Workshop
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Author :
language : en
Publisher:
Release Date : 2020
Statistics And Calculus With Python Workshop written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Essential Math For Data Science
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Author : Thomas Nield
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-05-26
Essential Math For Data Science written by Thomas Nield and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-26 with Computers categories.
Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career. Learn how to: Use Python code and libraries like SymPy, NumPy, and scikit-learn to explore essential mathematical concepts like calculus, linear algebra, statistics, and machine learning Understand techniques like linear regression, logistic regression, and neural networks in plain English, with minimal mathematical notation and jargon Perform descriptive statistics and hypothesis testing on a dataset to interpret p-values and statistical significance Manipulate vectors and matrices and perform matrix decomposition Integrate and build upon incremental knowledge of calculus, probability, statistics, and linear algebra, and apply it to regression models including neural networks Navigate practically through a data science career and avoid common pitfalls, assumptions, and biases while tuning your skill set to stand out in the job market
Fundamentals Of Data Science
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Author : Dr. N. Bharathi, Dr. Jayshri Harde, Mr. Pradeep Kumar Tiwari, Mr. Abhendra Pratap Singh
language : en
Publisher: BR Publications
Release Date : 2025-09-16
Fundamentals Of Data Science written by Dr. N. Bharathi, Dr. Jayshri Harde, Mr. Pradeep Kumar Tiwari, Mr. Abhendra Pratap Singh and has been published by BR Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-16 with Computers categories.
Fundamentals of Data Science” provides a comprehensive introduction to the principles, methodologies, and practical applications of data-driven analysis. The book explores the complete data science pipeline — from data collection, preprocessing, and visualization to statistical modeling, machine learning, and decision-making.
Data Science Fusion
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Author : Nibedita Sahu
language : en
Publisher: Nibedita Sahu
Release Date : 2023-08
Data Science Fusion written by Nibedita Sahu and has been published by Nibedita Sahu this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08 with categories.
In this book, we will explore in the world of Data Science and inside you will gain informative insights in depth. You wiill access Maths needed for Data Science in detail with the formulase, examples and simple explanations. Then you will go through Python needed for Data Science, where you will get everything in Python from basics to advanced level, code examples and explanations. And the main thing is Machine Learning, here Machine Learning Basics to advanced techniques, everything is explained well. Access everything in detail and go deep inside each concept, understand them well and gain informative insights. Unlock the full potential of data science with "Data Science Fusion: Integrating Maths, Python, and Machine Learning." This comprehensive guide empowers you to master the essential components of data science, equipping you with the knowledge and skills to tackle real-world challenges. Begin your journey by understanding the core principles of data science and its vast applications. Embrace Python, the preferred language in the field, and discover the power of essential libraries for data manipulation, visualization, and analysis. Delve into the mathematical foundations that underpin data analysis and machine learning, including linear algebra, calculus, and statistics. With a solid grasp of both mathematics and Python, dive into the exciting realm of machine learning. Learn about supervised and unsupervised learning, and explore the cutting-edge techniques of deep learning and natural language processing. What sets this book apart is its emphasis on the fusion of mathematical theory with practical Python implementation. Each concept is accompanied by hands-on projects and real-world examples, bridging the gap between theory and application. Whether you're an absolute beginner or an experienced practitioner, with insights into model deployment, evaluation, and ethical considerations, this book prepares you to make informed decisions in the data-driven world. Unleash the true potential of data science and revolutionize your understanding of mathematics, Python, and machine learning in the data-driven era.
Foundations And Frontiers Of Data Science With Big Data
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Author :
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-10-02
Foundations And Frontiers Of Data Science With Big Data written by and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-02 with Computers categories.
Ms.G.Thenmozhi, Doctoral Research Scholar, Department of Computer Applications, Alagappa University, Karaikudi, Sivaganga, Tamil Nadu, India. Dr.V.Palanisamy, Senior Professor and Head, Department of Computer Applications, Alagappa University, Karaikudi, Sivaganga, Tamil Nadu, India. Ms.K.Seethalakshmi, Assistant Professor and Head, Department of Computer Science, Idhaya College for Women, Sarungani, Sivaganga, Tamil Nadu, India.
Data Science
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Author : Prabhu TL
language : en
Publisher: NestFame Creations Pvt Ltd.
Release Date : 2025-04-12
Data Science written by Prabhu TL and has been published by NestFame Creations Pvt Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-12 with Computers categories.
Data Science: From Basics to Advanced Unlock the Power of Data to Build Intelligent Solutions and Transform Your Career Are you ready to master one of the most in-demand and future-proof skills of the 21st century? Whether you're a beginner, student, working professional, or tech enthusiast—this comprehensive guide is your ultimate roadmap to becoming a data science expert. “Data Science: From Basics to Advanced” takes you on a complete journey through the world of data, starting from foundational concepts and evolving all the way to advanced machine learning, deep learning, and real-world deployment. ✅ What You’ll Learn Inside: 📊 Statistics, Probability & Linear Algebra — The math behind the magic 🐍 Python Programming — Clean and efficient data handling with NumPy and pandas 🔍 Exploratory Data Analysis — Visualize, understand, and tell stories with data 🤖 Machine Learning & Deep Learning — Build, train, and tune powerful models 🧠 Natural Language Processing, Time Series, and Computer Vision ☁️ Cloud Tools, Big Data, and MLOps — Deploy scalable solutions using AWS, GCP, and more 🔐 Bias, Fairness & Data Ethics — Build responsible, human-centered AI 🧳 Career Tools — Portfolio templates, interview prep, certifications, and roadmaps 💡 Who This Book Is For: Beginners looking for a step-by-step introduction to data science Professionals seeking to upskill or transition into AI/ML roles Students preparing for internships and job interviews Entrepreneurs and business leaders leveraging data-driven strategies 🎓 Includes: ✅ Real-world projects and use cases ✅ Sample code and reusable templates ✅ Cheat sheets, glossary, and portfolio guidance ✅ Companion resources and learning roadmap If you've ever wanted to extract insight from raw data, build machine learning models, or launch a data science career, this is the book you've been waiting for. 🔥 Your journey into data starts now. 📘 Get your copy of Data Science: From Basics to Advanced and turn information into impact.
Introduction To Biomedical Data Science
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Author : Robert Hoyt
language : en
Publisher: Lulu.com
Release Date : 2019-11-24
Introduction To Biomedical Data Science written by Robert Hoyt and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-24 with Science categories.
Overview of biomedical data science -- Spreadsheet tools and tips -- Biostatistics primer -- Data visualization -- Introduction to databases -- Big data -- Bioinformatics and precision medicine -- Programming languages for data analysis -- Machine learning -- Artificial intelligence -- Biomedical data science resources -- Appendix A: Glossary -- Appendix B: Using data.world -- Appendix C: Chapter exercises.
Pro Deep Learning With Tensorflow
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Author : Santanu Pattanayak
language : en
Publisher: Apress
Release Date : 2017-12-06
Pro Deep Learning With Tensorflow written by Santanu Pattanayak and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-06 with Computers categories.
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community. What You'll Learn Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep learning Deploy complex deep learning solutions in production using TensorFlow Carry out research on deep learning and perform experiments using TensorFlow Who This Book Is For Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts
The Statistics And Calculus With Python Workshop
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Author : Peter Farrell
language : en
Publisher:
Release Date : 2020-08-17
The Statistics And Calculus With Python Workshop written by Peter Farrell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-17 with Computers categories.
With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy Key Features Discover how most programmers use the main Python libraries when performing statistics with Python Use descriptive statistics and visualizations to answer business and scientific questions Solve complicated calculus problems, such as arc length and solids of revolution using derivatives and integrals Book Description Are you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python. The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions. By the end of this book, you'll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges. What you will learn Get to grips with the fundamental mathematical functions in Python Perform calculations on tabular datasets using pandas Understand the differences between polynomials, rational functions, exponential functions, and trigonometric functions Use algebra techniques for solving systems of equations Solve real-world problems with probability Solve optimization problems with derivatives and integrals Who this book is for If you are a Python programmer who wants to develop intelligent solutions that solve challenging business problems, then this book is for you. To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Python.