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Good Living Guide to Healing Drinks - Jennifer Browne

Language: English | Format: epub | 2024 | Size: 15.3 MB

Powerfully healing recipes for herbal teas, broths, tonics, juices, smoothies, and more!

Food—and drink—has always proven to be the best medicine, and in The Good Living Guide to Healing Drinks, Jennifer Browne provides the building blocks to help soothe, restore, and strengthen our bodies from the inside out. From medicinal broths and herbal tonics to nutrient-dense smoothies and botanical-infused waters, Browne takes us through a delicious journey that finds us holding the answers to a lengthy list of common ailments.

In these pages you’ll find fifty delicious recipes to combat fifty common health woes, plus information on a variety of particularly healing vegetables, fruits, herbs, mushrooms, and other foods. Also included are tips for preservation of herbs and a list of helpful kitchen equipment.

Discover delicious healing drinks including:
• Lavender Lemon Cooler for anxiety
• Honey Ginseng Tea for asthma
• Lemongrass Tonic for blood pressure
• Nut Butter Cacao Smoothie for depression
• Almond Mylk Espresso Affagato for fatigue
• Traditional Miso Broth for gut health
• Frozen Watermelon Cooler for joint pain
• Lemon Cayenne Tonic for weight management

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Wild Creature Mind The Neuroscience Breakthrough that Helps You Transform Anxiety and Live a Fierce Loving Life

English | ASIN: B0DBBH3D3L | 2024 | 7 hours and 16 minutes | M4B@128 kbps | 402 MB

Author: Steve Biddulph

Narrator: Silas Aiton

Unlock the untapped power within you - discover the profound wisdom of your animal mind. Bestselling psychologist Steve Biddulph reveals a groundbreaking insight: we possess not just one, but two minds. While our familiar, analytical mind dominates in today's busy, modern world, our primal, instinctual 'wild creature' mind lies dormant, waiting to guide us with its innate intuition and compassion. In a world grappling with unprecedented mental health challenges, Steve offers a lifeline. Drawing on cutting-edge therapy and cognitive science research, he shows you how to awaken your dormant mind and transform your anxiety through poignant anecdotes and practical exercises. You will learn to embrace your body's wisdom, trust your instincts, heal trauma, navigate life's complexities with newfound clarity and embark on a journey of profound transformation. There's a million years of animal intelligence, lying silent, wanting to help you. This is absolute science, yet incredibly simple, and about to change your world.

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Beginning ChatGPT for Python Build Intelligent Applications 2024 - Evelyn L.

Language: English | Format: epub | 2024 | Size: 9 MB

Unlock the future of software development and empower yourself to elevate your Python applications by harnessing the power of AI as this field continues to grow and evolve. Perfect for beginner to intermediate Python programmers, this book breaks down the essentials of using ChatGPT and OpenAI APIs.

You'll start with the basics, learning to authenticate, send prompts, generate responses, test in the Playground, and handle errors with ease. Each chapter includes hands-on exercises that bring concepts to life, demonstrating different API functionalities and practical applications. You'll master models like GPT-4o, GPT-4, GPT-3.5, Whisper, and DALL-E, enabling you to enhance your applications with cutting-edge AI.

Discover how generative AI tools like ChatGPT can automate tedious tasks rather than replace jobs. Leverage ChatGPT’s powerful Natural Language Processing (NLP) capabilities to handle various formats of unstructured text within your Python apps. Quickly see how easy it is to use ChatGPT as your AI-pair programmer, boosting your productivity and speed.

This step-by-step guide will have you creating intelligent chatbots that can automatically process messages from Slack or Discord. With Beginning ChatGPT for Python, you'll master the ChatGPT and OpenAI APIs, building intelligent applications that offer a personalized and engaging user experience.

What You’ll Learn

Connect with the ChatGPT and OpenAI APIs and send effective prompts.
Harness parameters like temperature and top_p to create unique and engaging responses from ChatGPT.
Create an intelligent assistant bot for Slack that automates tasks and enhances productivity.
Develop a bot that can moderate conversations and manage communities on Discord.
Add context to your prompts to get more accurate and relevant responses.
Who This Book Is For

Python developers and enthusiasts who aspire to employ OpenAI and ChatGPT in the creation of intelligent applications to enhance productivity.

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The Haunting Returns (Goosebumps The Season 1 Novel) by Kate Howard

Language: English | Format: epub | 2024 | Size: 31.6 MB

Description:

This official YA novel based on the hit Disney Plus series includes an exclusive ending you won't see on the show! Discover what happens to all your favorite characters... if you dare.Thirty years ago, Harold Biddle died in a tragic accident - but there's more to the story. Now, the teenage kids of Harold's classmates are determined to find out what happened to him all those years ago... as long as Harold's spirit doesn't exact his revenge first!
But Harold Biddle isn't the only monster roaming the streets of Port Lawrence. From doppelgangers to haunted books and one creepy dummy, Isaiah, Margot, James, and the rest of their friends have to fight to stay alive or risk becoming monsters themselves!
This official YA novel tells the story of season 1 of the hit Goosebumps series - plus additional scenes and information not seen on the show, including resolving the show's cliffhanger ending!

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[Proculin]

The Haunting Returns (Goosebumps The Season 1 Novel) by Kate Howard

Language: English | Format: epub | 2024 | Size: 31.6 MB

Description:

This official YA novel based on the hit Disney Plus series includes an exclusive ending you won't see on the show! Discover what happens to all your favorite characters... if you dare.Thirty years ago, Harold Biddle died in a tragic accident - but there's more to the story. Now, the teenage kids of Harold's classmates are determined to find out what happened to him all those years ago... as long as Harold's spirit doesn't exact his revenge first!
But Harold Biddle isn't the only monster roaming the streets of Port Lawrence. From doppelgangers to haunted books and one creepy dummy, Isaiah, Margot, James, and the rest of their friends have to fight to stay alive or risk becoming monsters themselves!
This official YA novel tells the story of season 1 of the hit Goosebumps series - plus additional scenes and information not seen on the show, including resolving the show's cliffhanger ending!

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Windows 10 For Beginners - 20th Edition 2024

Language: English | Format: pdf | 2024 | Size: 65.7 MB

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World Design for 2D Action-Adventures Level Design Practices 2025 - Totten C.

Language: English | Format: epub | 2024 | Size: 22.5 MB

Award-winning action-adventure designers Christopher Totten and Adrian Sandoval guide you on a quest to create levels for different styles of 2D action-adventure games, from top-down dungeon-crawler adventures to side-scrolling non-linear “Metroidvania” titles. Blending theory and practical analysis, this book shows how principles of game and level design are applied in some of your favorite 2D action-adventure games. It uses examples from popular games such as The Legend of Zelda and Hollow Knight, while also providing insights from the authors’ own experiences creating independent games in the genre.

This book also intersperses these examples with practical exercises in 2D action-adventure world design using the free and easy-to-use GB Studio engine, allowing readers to practice their skills and see how lessons from the theory chapters apply in real game development environments. These practical chapters cover the basics of using GB Studio and related software, such as Aseprite and Tiled, to help readers create their own action-adventure characters, monsters, quest systems, switches, keys, and other mechanics - all the way up to designing their own dungeon!

World Design for 2D Action-Adventures will be of great interest to all those looking to improve their level design skills within this genre.

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The New York Times Best Sellers Fiction - December 1, 2024

Language: English | Format: epub | 2024 | Size: 34.3 MB

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PC Pro - Issue 364, January 2025

Language: English | Format: pdf | 2024 | Size: 61.9 MB

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Computeractive - Issue 698, 4 December 2024

Language: English | Format: pdf | 2024 | Size: 39.9 MB

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The MagPi - Issue 148, December 2024

Language: English | Format: pdf | 2024 | Size: 77.1 MB

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Online Security For Beginners - Fall Ed. 20 2024

Language: English | Format: pdf | 2024 | Size: 66.6 MB

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Python Machine Learning by Example With Real-World Use Cases 4ed 2024 - Liu Y.

Language: English | Format: epub | 2024 | Size: 44.6 MB

Key Features
Discover new and updated content on NLP transformers, PyTorch, and computer vision modeling
Includes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutions
Implement ML models, such as neural networks and linear and logistic regression, from scratch
Purchase of the print or Kindle book includes a free PDF copy
Book Description
The fourth edition of Python Machine Learning By Example is a comprehensive guide for beginners and experienced machine learning practitioners who want to learn more advanced techniques, such as multimodal modeling. Written by experienced machine learning author and ex-Google machine learning engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for machine learning engineers, data scientists, and analysts.

Explore advanced techniques, including two new chapters on natural language processing transformers with BERT and GPT, and multimodal computer vision models with PyTorch and Hugging Face. You’ll learn key modeling techniques using practical examples, such as predicting stock prices and creating an image search engine.

This hands-on machine learning book navigates through complex challenges, bridging the gap between theoretical understanding and practical application. Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.

What you will learn
Follow machine learning best practices throughout data preparation and model development
Build and improve image classifiers using convolutional neural networks (CNNs) and transfer learning
Develop and fine-tune neural networks using TensorFlow and PyTorch
Analyze sequence data and make predictions using recurrent neural networks (RNNs), transformers, and CLIP
Build classifiers using support vector machines (SVMs) and boost performance with PCA
Avoid overfitting using regularization, feature selection, and more
Who this book is for
This expanded fourth edition is ideal for data scientists, ML engineers, analysts, and students with Python programming knowledge. The real-world examples, best practices, and code prepare anyone undertaking their first serious ML project.

Table of Contents:

Getting Started with Machine Learning and Python
Building a Movie Recommendation Engine
Predicting Online Ad Click-Through with Tree-Based Algorithms
Predicting Online Ad Click-Through with Logistic Regression
Predicting Stock Prices with Regression Algorithms
Predicting Stock Prices with Artificial Neural Networks
Mining the 20 Newsgroups Dataset with Text Analysis Techniques
Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
Recognizing Faces with Support Vector Machine
Machine Learning Best Practices
Categorizing Images of Clothing with Convolutional Neural Networks
Making Predictions with Sequences Using Recurrent Neural Networks
Advancing Language Understanding and Generation with Transformer Models
Building An Image Search Engine Using Multimodal Models
Making Decisions in Complex Environments with Reinforcement Learning

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Python Machine Learning by Example With Real-World Use Cases 4ed 2024 - Liu Y.

Language: English | Format: epub | 2024 | Size: 44.6 MB

Key Features
Discover new and updated content on NLP transformers, PyTorch, and computer vision modeling
Includes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutions
Implement ML models, such as neural networks and linear and logistic regression, from scratch
Purchase of the print or Kindle book includes a free PDF copy
Book Description
The fourth edition of Python Machine Learning By Example is a comprehensive guide for beginners and experienced machine learning practitioners who want to learn more advanced techniques, such as multimodal modeling. Written by experienced machine learning author and ex-Google machine learning engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for machine learning engineers, data scientists, and analysts.

Explore advanced techniques, including two new chapters on natural language processing transformers with BERT and GPT, and multimodal computer vision models with PyTorch and Hugging Face. You’ll learn key modeling techniques using practical examples, such as predicting stock prices and creating an image search engine.

This hands-on machine learning book navigates through complex challenges, bridging the gap between theoretical understanding and practical application. Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.

What you will learn
Follow machine learning best practices throughout data preparation and model development
Build and improve image classifiers using convolutional neural networks (CNNs) and transfer learning
Develop and fine-tune neural networks using TensorFlow and PyTorch
Analyze sequence data and make predictions using recurrent neural networks (RNNs), transformers, and CLIP
Build classifiers using support vector machines (SVMs) and boost performance with PCA
Avoid overfitting using regularization, feature selection, and more
Who this book is for
This expanded fourth edition is ideal for data scientists, ML engineers, analysts, and students with Python programming knowledge. The real-world examples, best practices, and code prepare anyone undertaking their first serious ML project.

Table of Contents:

Getting Started with Machine Learning and Python
Building a Movie Recommendation Engine
Predicting Online Ad Click-Through with Tree-Based Algorithms
Predicting Online Ad Click-Through with Logistic Regression
Predicting Stock Prices with Regression Algorithms
Predicting Stock Prices with Artificial Neural Networks
Mining the 20 Newsgroups Dataset with Text Analysis Techniques
Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
Recognizing Faces with Support Vector Machine
Machine Learning Best Practices
Categorizing Images of Clothing with Convolutional Neural Networks
Making Predictions with Sequences Using Recurrent Neural Networks
Advancing Language Understanding and Generation with Transformer Models
Building An Image Search Engine Using Multimodal Models
Making Decisions in Complex Environments with Reinforcement Learning

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Adobe Elements For Beginners - Fall 2024

Language: English | Format: pdf | 2024 | Size: 60.3 MB

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The Family Handyman - December 2024 - January 2025

Language: English | Format: pdf | 2024 | Size: 24.6 MB

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