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Free Download Can Fasting Save Your Life? by Toshia Myers, Alan Goldhamer D.C.
English | June 25, 2024 | ISBN: 1570674191 | 184 pages | PDF | 4.77 Mb
Discover how more than 25,000 patients who underwent water-only fasting at TrueNorth Health Center experienced results that were nothing short of miraculous. A primer on the different types of intermittent and prolonged fasts, in-depth coverage on how fasting reverses metabolic disorders, hypertension, and obesity, and evidence on the safety of fasting are among the topics that the authors present. Also addressed is the connection between eating highly processed foods and visceral fat and chronic disease and the importance of improving diet and lifestyle choices in order to maintain the benefits gained from fasting. Meticulously researched, this book shines a light on this amazing natural and successful approach to restoring and maintaining health.

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Free Download Cambridge IGCSE and O Level Accounting Second Edition by June Baptista, Muhammad Nauman Malik
English | May 20, 2025 | ISBN: 1036010627 | 440 pages | PDF | 18 Mb
We are working towards endorsement of this title for the Cambridge Pathway to support the syllabuses for examination from 2027. Develop accounting skills and apply knowledge to relevant business-related contexts with the new edition of our Student's Book providing in-depth coverage of the revised Cambridge IGCSE™, IGCSE (9-1) and O Level Accounting syllabuses (0452/0985/7707) for examination from 2027. Revised and updated for the latest syllabuses, this new edition provides accessible content for all learners, with updated practice questions, ESL-friendly content and an improved structure. - Trust an experienced author team to help you navigate the syllabus confidently with clear signposting and individual chapters on each topic, along with clearly defined learning objectives throughout. - Deepen understanding by reflecting on how accounting shapes the wider business-related world with improved 'Think about it' tasks including opportunities for discussion. - Develop application and evaluation skills and prepare for assessment with study tips and updated practice questions. - Apply, analyse and reflect on knowledge with engaging activities integrating deep learning skills throughout. - Build and reinforce the understanding of all learners with a clear layout, accessible language and ESL-friendly definitions of key terms. - Consolidate learning with revision checklists and updated chapter review questions. Answers to all the practice questions and activities are FREE to download from:www.hoddereducation.com/cambridgeextras

Free Download Calculus with Python for Data Science and Machine Learning: Mathematical Foundations for Modeling, Gradients, and Machine Learning Systems
English | November 28, 2025 | ASIN: B0G4BJV5ZD | 414 pages | Epub | 561.24 KB
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.

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Dl4All is download free for all software and educational resource. With a little searching, you can download what you need for free without spending any money.

Dl4All - Download free For All: software and educational resource.

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Calculus with Python for Data Science and Machine Learning Mathematical Foundations for Modeling, Gradients, and Machine