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  Invasive Plants - Guide to...

  Sylvan Ramsey Kaufman, Wallace...

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  Newly updated: “Invasive plants are ecological tumors that degrade food webs wherever they go. The third edition of [this book] is an invaluable reference.” —Douglas Tallamy, New York Times–bestselling author of Nature’s Best Hope   This easy-to-use, wide-ranging guide to invasive plants in North America features full-color photos and descriptions of more than 250 alien species—both terrestrial and aquatic—that are in some cases changing the landscape to an almost unimaginable degree. Accompanying text describes the plant’s environmental and economic impacts as well as management techniques used to control it. Also included is an explanation of what an invasive is and a step-by-step identification key. Used by U.S. Forest Service botanists, this is an essential guide to understanding this unprecedented environmental challenge that is threatening biodiversity—and the human population that depends on it to survive.   “A colorful, general field guide to the major invasive plants of North America…packed with relevant information.” —Great Plains Research: A Journal of Natural and Social Sciences   “A wonderful guide.” —The Roanoke Star

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  Digital Horizons - Where...

  DemystifyTech

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  Digital Horizons: Where Technology Ends and Humanity Begins 
  Step into a mind-bending journey through tomorrow's technological landscape with "Digital Horizons," a groundbreaking five-part audio series that explores the profound ways emerging technologies are reshaping what it means to be human. Unlike conventional tech podcasts, this series weaves together cutting-edge research, expert insights, and compelling narratives to paint a vivid picture of our possible futures. 
  Each episode blends narrative storytelling with expert interviews, soundscaping, and immersive audio elements to create a rich, multifaceted exploration of our technological future. Whether you're a tech enthusiast, a concerned citizen, or simply curious about where humanity is heading, "Digital Horizons" offers an enlightening and thought-provoking journey into tomorrow's world. 
  Featuring insights from leading researchers, Silicon Valley pioneers, policy makers, and philosophers, this series goes beyond the headlines to ask fundamental questions about technology's role in human evolution. What happens when technology becomes inseparable from human consciousness? How do we preserve human agency in an algorithmic world? Where does authentic experience end and synthetic reality begin? 
  Join us for this extraordinary exploration of humanity's digital horizon, where every episode challenges your assumptions and expands your understanding of what's possible—and what's at stake—in our technological future.

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  The One-Person Empire - Building...

  David Brennan

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  This audiobook is narrated by an AI Voice.  
  Stop Selling Your Time. Start Selling "Digital Workers." 
  Are you watching the AI revolution from the sidelines, wondering how to turn the "gold rush" into actual cash? 
  The days of the traditional Social Media Marketing Agency (SMMA) are fading. The new wave is here: the AI Automation Agency (AAA). Businesses are desperate to cut costs and automate workflows, but they don't know how. That is where you come in. 
  You don't need to be a coding genius or a Python developer to build a six-figure agency. You just need the right blueprint to connect the tools that already exist. 
  In this comprehensive guide, you will discover the exact roadmap to launching, scaling, and automating your own agency from scratch. 
  This isn't theoretical fluff about "the future of AI"—this is a tactical playbook for building bots, selling them for thousands, and generating recurring monthly revenue. 
  Here is just a fraction of what you will learn: 
  The "No-Code" Stack: How to master tools like ChatGPT, RedditViral, Make.com, Zapier, Notion, and Voiceflow to build complex automations in minutes. 
  The Irresistible Offer: How to package "invisible" AI services into high-ticket products that businesses are happy to pay for. 
  Client Acquisition 2.0: Forget cold calling. Learn how to use AI lead scrapers to fill your calendar with qualified buyers. 
  The "Digital Employee" Model: How to build Customer Support Chatbots and Lead Gen Agents that work 24/7 for your clients. 
  Pricing Psychology: Why charging by the hour kills your business (and how to charge for value instead). 
  The market is wide open, but the window of opportunity won't stay open forever. Be the architect of the future, not just a participant.

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  Heartificial Empathy - Putting...

  Minter Dial

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  Heartificial Empathy explores the power of empathy, one of the most untapped levers of productivity in business. In the new tech-infused era, where companies continue to scramble with digital transformation, trying to be more customer-centric and spurring innovation, empathy is a killer app. Heartificial Empathy grapples with the major business challenges associated with making organisations and machines more empathic. This is the second and significantly expanded and modified edition of the award-winning Heartificial Empathy, reflecting important developments in artificial intelligence as well as the new context post-pandemic of the future of work, and issues of and new solutions for mental health therapy. Empathy has never been more needed, yet businesses continue to struggle to create a culture of empathy. The author lays out the business case and a path for putting more heart and empathy into business and machines for a healthier and more profitable future. 
  2nd EDITION: WINNER MAINCREST MEDIA AWARD 2024 (Business Management) 
  1st EDITION: WINNER BOOK EXCELLENCE AWARD 2019 and BUSINESS BOOK AWARDS finalist 
  PRAISE RECEIVED: 
  "In Heartificial Empathy, Minter Dial masterfully makes the case for why empathy is not only teachable but a requirement for success in business and in life. By dissecting the elements of empathy, Dial has created the recipe book of how to embed and increase empathy in yourself, your organization, and in our machines."— Charlene Li, bestselling author 
  "In a tech-driven society, empathy is an increasingly rare and valuable skill. Minter Dial's new book is a thought-provoking exploration of the role of empathy in the modern workplace, and how to nurture and sustain it." — Dorie Clark, bestselling author

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  Data Science from Scratch

  Steven Cooper

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  If you are looking to start a new career that is in high demand, then you need to continue reading.Data scientists are changing the way big data is used in different institutions.Big data is everywhere, but without the right person to interpret it, it means nothing.So where do business find these people to help change their business?You could be that person.It has become a universal truth that businesses are full of data.It can easily be seen that the value of big data lies in the analysis and processing of that data, and that’s where data science comes in.Data Science from Scratch includes:•	In depth information about what data science is and why it is important.•	The prerequisites you will need to get started in data science.•	What it means to be a data scientist.•	The roles that hacking and coding play in data science.•	The different coding languages that can be used in data science.•	Why python is so important.•	How to use linear algebra and statistics.•	The different applications for data science.•	How to work with the data through munging, cleaning, and more.•	And much more.The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.As businesses and the internet change, so will data science. This means it’s important to be flexible.When data science can reduce spending costs by billions of dollars, why wait to jump in?Get fit, happy, and stress-free life by ordering your copy right away! Don’t miss out on this Data Science from Scratch audiobook!

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  Beyond Quantity - Research with...

  Jens Schröter, Andreas Sudmann,...

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  How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which master problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI be configured to address them adequately?

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