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  The Age-Proof Brain - New...

  Dr. Marc Milstein

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  When it comes to keeping your brain in tip-top shape, you aren't limited to crossword puzzles, brain games, and Sudoku. The keys to keeping your mind sharp are already in your hands: eleven simple but powerful lifestyle factors often have a greater impact on our health than our genetics. 
   
   
   
  In The Age-Proof Brain, scientist and popular speaker Dr. Marc Milstein shares "complex science in simple (and often humorous) examples, case histories, and 'how-to' guidelines that are guaranteed to change your life" (Dr. James B. Mass). This book reveals the secrets to improving brain function, which lie in the brain's surprising connection with the rest of the body. 
   
    
   
  Debunking common misinformation, The Age-Proof Brain offers new, breakthrough science-supported strategies to improve memory and productivity; increase energy and boost your mood; reduce the risk of anxiety and depression; form healthy habits to supercharge your brain; and prevent non-genetic Alzheimer's and dementia. Dr. Milstein also arms you with knowledge about common and often overlooked issues that prematurely age the brain (including the surprising truth about what doctors previously got wrong about Alzheimer's and dementia), and shares a seven-day challenge to help you jumpstart new brain-healthy habits.

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  Python Machine Learning for...

  Alexa Campbell

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  Have you thought about a career in data science? It's where the money is right now, and it's only going to become more widespread as the world evolves. Machine learning is a big part of data science, and for those that already have experience in programming, it's the next logical step. 
  Machine learning is a subsection of AI, or Artificial Intelligence, and computer science, using data and algorithms to imitate human thinking and learning. Through constant learning, machine learning gradually improves its accuracy, eventually providing the optimal results for the problem it has been assigned to. 
  It is one of the most important parts of data science and, as big data continues to expand, so too will the need for machine learning and AI. 
  Here's what you will learn in this quick guide to machine learning with Python for beginners:What machine learning isWhy Python is the best computer programming language for machine learningThe different types of machine learningHow linear regression worksThe different types of classificationHow to use SVMs (Support Vector Machines) with Scikit-LearnHow Decision Trees work with ClassificationHow K-Nearest Neighbors worksHow to find patterns in data with unsupervised learning algorithms 
  You will also find plenty of code examples to help you understand how everything works. 
  If you are ready to take your programming further, scroll up, click Buy Now, and find out why machine learning is the next logical step.

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  Real-Time Data Processing -...

  James Henry

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  Real-Time Data Processing: Essential Concepts, Tools, and Techniques for Effective Data Processing in Dynamic Environments offers a comprehensive exploration of the fast-paced world of real-time data processing. As organizations increasingly rely on timely insights to drive decision-making and maintain competitive advantage, mastering the intricacies of real-time data systems has never been more critical. 
  This book delves into the fundamental concepts of real-time data processing, distinguishing it from traditional batch processing. Readers will gain a thorough understanding of data streams, latency, throughput, and the architecture that supports real-time analytics. With a focus on practical application, the book presents a range of tools and technologies—including Apache Kafka, Apache Flink, and Google Cloud Dataflow—that empower professionals to build robust, scalable data processing systems. 
  With practical examples, hands-on projects, and expert insights, Real-Time Data Processing is an essential resource for data engineers, data scientists, and technology professionals looking to harness the power of real-time data. 
   

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  Studying the chemistry of...

  Pharmacology University

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  In this incredible audiobook, we invite you to learn about the different methods of extraction and analysis of the main cannabinoids for the use of derivatives in the cannabis industry. 
  Currently, about 113 compounds have been isolated from the Cannabis sativa species, among the most important are tetrahydrocannabinol (Δ9-THC) and cannabidiol (CBD). These phytocannabinoids are mostly present in the form of carboxylic acids and are located in the trichomes of this plant. 
  To identify and characterize the chemical molecules present in cannabis, it is important to know how to select the most appropriate extraction method. This technique depends on parameters such as temperature, agitation speed, process time, particle size, and distribution to achieve the concentration of the different cannabinoids. Likewise, it is necessary to implement an analytical system for the determination of cannabinoids, thus increasing the reliability of the efficacy of the formulated products, whether for the pharmaceutical, cosmetic, gastronomic, or textile industry.  
  If you are interested in learning more about the latest techniques for the extraction and analysis of phytocannabinoids, we invite you to listen to this audiobook brought to you by Pharmacology University.

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  Clean Gut - The Breakthrough...

  Anonyme

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  In Clean Gut, Alejandro Junger, M.D, New York Times bestselling author of Clean and creator of the world-famous Clean Program, delivers a complete toolkit for reversing disease and sustaining life-long health. 
  All of today’s most-diagnosed ailments can be traced back to an injured and irritated gut. The gut is an intricate and powerful system, naturally designed to protect and heal the body every moment of every day  And yet for far too many of us, this remarkable system is in disrepair, which leads to all kinds of health problems—from extra pounds, aches and pains, allergies, mood swings, and lack of libido, to heart disease, cancer, autoimmune disorders, insomnia, and depression. 
  But we no longer have to be sick to get healthy. In this groundbreaking program, Alejandro Junger, M.D. explains how instead of treating the symptoms as they arise, we can preemptively attack disease before it takes root in the gut. 
  No matter your current state of health, you will benefit from this program: Clean Gut will help you put an end to everyday ailments, reverse chronic disease, and achieve true, long-lasting health.

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  Fundamentals of Data Engineering...

  SAM CAMPBELL

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  Dive into the world of big data technologies, exploring Hadoop, Spark, NoSQL databases, and more. Discover the importance of data quality and governance, ensuring that your data is not just abundant but accurate and reliable. Scalability, performance optimization, and the shift to cloud data engineering are unveiled, providing a roadmap for those navigating the complexities of the digital age. 
   Real-time data processing, often a challenging frontier, is demystified, with insights into event-driven architectures, messaging systems, and cutting-edge processing tools. Through case studies and best practices, learn from the successes and challenges faced by industry leaders, gaining valuable perspectives to inform your own data engineering journey. 
   "Fundamentals of Data Engineering" goes beyond theoretical concepts, offering tangible lessons and practical strategies. Whether you are a data engineer, analyst, or a decision-maker seeking to harness the power of data, this book equips you with the knowledge and tools to navigate the evolving landscape of data engineering. 
   Illuminate the path to mastery, embrace the future of data, and unlock the potential within your information. Get ready to embark on a transformative journey through the core principles and practices of data engineering, and position yourself at the forefront of this data-driven revolution. 
   

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