Weitere Bücher, die Sie mögen werden

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  A Dose of Hope

  Dr. Dan Engle, Alex Young

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  MDMA-assisted therapy for PTSD is in the final stages of FDA testing. Clinical trials are reporting a 70 percent cure rate for a condition that claims thousands of lives globally every day—hundreds in the US alone.But until it’s fully legalized, MDMA is still a Schedule I drug, saddled with years of misunderstanding, misinformation, and misuse. In this groundbreaking, informative, and easy-to-read book, Dr. Dan Engle shows you the treatment through the eyes of a fictional patient so you can see how it works without ever setting foot in a doctor’s office.Follow in-depth conversations between doctor and patient, learn about the history of MDMA-assisted therapy, understand how and why it helps, and experience the process for yourself—without ever having to take anything.The treatment presented here is a synthesis of the real experiences and stunning results happening today in trials around the world. Whether you or a loved one suffer from PTSD, or you just want to heal something that’s keeping you from living your best life, don’t miss A Dose of Hope.

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  Human-Centered AI

  Ben Shneiderman

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  Researchers, developers, business leaders, policy makers, and others are expanding the technology-centered scope of artificial intelligence (AI) to include human-centered AI (HCAI) ways of thinking. This expansion from an algorithm-focused view to embrace a human-centered perspective can shape the future of technology to better serve human needs.The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, as many technology companies and thought leaders have said, the goal is not to replace people, but to empower them by making design choices that give humans control over technology.In Human-Centered AI, Professor Ben Shneiderman aims to produce an optimistic, realistic, guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to make successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.

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  Data Mining for Beginners - From...

  Simon Winston

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  In our data-driven world, information is the currency of the future, and the ability to mine and extract valuable insights from vast data sets has become an indispensable skill. "Data Mining for Beginners" is your key to unlocking the potential hidden within the world of data. This comprehensive guide is tailor-made for newcomers to data mining, providing a clear and engaging introduction to a field that holds the keys to understanding the patterns, trends, and knowledge that lie within the data all around us. 
  Starting from the ground up, this book takes you on an enlightening journey through the fundamental concepts of data mining, from understanding what data mining is and where data comes from to preprocessing techniques, exploratory data analysis, and a wide array of data mining techniques. You'll learn about machine learning, the algorithms that drive it, and how to evaluate and validate the models you create. 
  The book doesn't stop at theory. It delves into real-world applications across industries such as healthcare, e-commerce, finance, marketing, and more, illustrating how data mining is revolutionizing decision-making, fraud detection, and customer insights. 
  "Data Mining for Beginners" also addresses the ethical considerations and privacy issues that come with the power to mine data, offering guidance on responsible data use. It explores the future of data mining, discussing emerging trends, challenges, and opportunities in the ever-evolving landscape. 
  To help you get started, the book introduces popular data mining tools and provides hands-on examples. It doesn't just aim to educate but also to empower you to take your first steps into the world of data mining. 
   Dive into this fascinating field, unlock the potential of data mining, and embark on a journey to becoming a data mining enthusiast today. 
   

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  The AI Revolution - Impact on...

  Torsten J. Koerting

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  Welcome to the world of project management in the age of AI. The revolution is here, and it's time to embrace it. As project managers, we are living in a world of constant change and disruption, and AI technology is transforming the way we work. We need to adapt, evolve, and embrace the opportunities that AI technology presents.    The potential of AI technology in project management is immense. It can help us to automate repetitive tasks, streamline processes, and deliver insights that were previously inaccessible. By leveraging AI technology, project managers can unlock new growth opportunities, increase profitability, and stay ahead of the competition.    However, the rise of AI technology also presents challenges for project managers. As project managers, we need to learn how to manage complex AI projects, collaborate with AI teams, and interpret AI-generated insights. We need to develop new skills, embrace new technologies, and adopt a growth mindset to succeed in the age of AI.    The challenge of managing AI projects requires project managers to learn new skills and approaches. For example, project managers need to understand how to manage projects with AI-driven analytics, such as machine learning algorithms, and how to integrate these insights into their project plans. Additionally, project managers need to be able to manage the complexity of AI projects, which often involve large amounts of data and multiple stakeholders.    To overcome these challenges, project managers need to adopt a growth mindset and embrace new technologies. This means being willing to learn new skills, experiment with new tools, and collaborate with AI teams. Project managers also need to be able to interpret AI-generated insights and incorporate them into their project plans effectively.    In this book, we explore the challenges facing project managers in the AI revolution and the specific needs project managers have to succeed in the age of AI. We provide strategies, tools, and resources for project managers to leverage AI technology to create value-based propositions and intellectual property.    We also share case studies and examples of successful AI projects, as well as stories of project managers overcoming challenges in the AI revolution. These examples illustrate the impact of AI technology on project management and provide lessons learned to help project managers understand how to apply these strategies and insights to their own projects.    Our goal is to help project managers unlock the full potential of AI technology and take their projects and organizations to the next level. We encourage the reader to reflect on their own skills and recognize the growth potential that AI technology presents. We want to inspire and motivate project managers to embrace the challenges and opportunities of the AI revolution.    So, are you ready to step into the unknown and embrace the growth potential of your company through AI-driven project management? Let's begin this journey together and unlock the power of AI technology.

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  Machine Learning Deep Learning &...

  Et Tu Code

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  Discover the intricacies of modern AI with "ML, DL & GenAI: Understanding the Complete Modern AI in 2024." This comprehensive audiobook takes you on a journey through the fundamentals, advancements, and ethical considerations of Machine Learning (ML), Deep Learning (DL), and Generative AI in 2024. 
  Machine Learning:Gain insights into the basics, historical evolution, and key concepts of ML.Explore the realms of Supervised and Unsupervised Learning, along with popular algorithms.Delve into Feature Engineering, Model Evaluation, and Ethical considerations. 
  Deep Learning:Uncover the foundations of Deep Learning, Neural Networks, and Backpropagation.Navigate through Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).Explore the practical applications, popular models, tools, and the ethical landscape of Deep Learning. 
  Generative AI:Step into the world of Generative AI with an introduction, historical context, and diverse generative models.Understand the training and fine-tuning processes, backed by detailed mathematical insights and research papers.Witness the impact of Generative AI across industries, its tools, frameworks, and ethical challenges 
  Embark on a learning journey that encapsulates the dynamic landscape of modern AI, equipping you with knowledge to navigate the evolving world of Machine Learning, Deep Learning, and Generative AI in 2024.

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  Coding with Python - Advanced...

  Alexander Cane

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  This book will help you learn advanced level coding in Python. The first thing is to install Python. I have used Python IDLE that also is called Python shell for coding. I have also used Python text editor to write and run full programs. You can open an editor. Open the shell first and then open a new file from the file menu on the top bar. The newly opened file will appear different because it is not a shell but a text editor. Once you write a program in the editor, you can run it by clicking f5. The editor will ask you to save the file. Save it and run accordingly to get the results.  
  Python programming, just like all other types of coding, is meant to solve the problems that end-users face. To do that, you need to get additional information from the end-user. For example, if someone needs to check whether he is eligible to qualify for playing in the basketball team or whether he is qualified to vote in the election, you can create a program that can give him the right answer he needs.  
  In this kind of program, we must know the age of the user before we provide an answer, which means that we must build an interface that demands an answer from the user with respect to his or age. The user will enter his or her age in the program with the help of the input() method. Once he or she enters the age, they can know the answer. You can design your program, such as to ask them their names so that you can store their information for future reference.

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