Otros libros que te pueden interesar

• 

  DataOps and MLOps Integration -...

  Simon Winston

  • 0
  • 0
  • 0

  In the rapidly evolving landscape of data science and machine learning, the fusion of DataOps and MLOps is reshaping the way organizations harness the power of their data. "DataOps and MLOps Integration: Bridging the Gap for Efficient Data Science" is your comprehensive guide to understanding, implementing, and optimizing this convergence. 
  DataOps, focused on the efficient management of data pipelines, and MLOps, dedicated to streamlining machine learning model development and deployment, have traditionally operated in separate domains. However, in today's data-driven world, their integration is not just a best practice—it's a necessity. 
  This book takes you on a journey through the fundamentals of DataOps and MLOps, exploring their key principles, concepts, benefits, and challenges. You'll learn how to identify integration points, overcome cultural barriers, and establish communication channels between data engineers, data scientists, and DevOps teams. Discover the common toolsets that bridge the gap between these two domains and enable a seamless workflow. 
  "DataOps and MLOps Integration" delves deep into the core processes of both disciplines. You'll explore the DataOps lifecycle, covering data ingestion, preparation, transformation, quality, and delivery, as well as the MLOps lifecycle, encompassing model development, deployment, monitoring, governance, and retraining. 
  Whether you're a data engineer, data scientist, machine learning engineer, or DevOps professional, "DataOps and MLOps Integration" equips you with the knowledge and tools to bridge the gap between data and machine learning, unlocking the full potential of your organization's data assets. This book is your roadmap to efficient, collaborative, and future-proof data science and machine learning operations. 
   

  Ver libro

• 

  Bitcoin Mining for Beginners - A...

  Rayan Murray

  • 0
  • 0
  • 0

  Dive into the basics of Bitcoin, discovering its transformative role in reshaping the future of currency. Explore the fascinating world of mining, where cryptographic puzzles become the keys to unlocking new bitcoins and securing the decentralized network. "Bitcoin Mining for Beginners" takes you on a journey from novice to miner, providing a step-by-step guide on selecting the right hardware, configuring mining software, and joining mining pools. 
  But this book is more than just a technical manual—it's a roadmap for understanding the risks, challenges, and opportunities within the evolving cryptocurrency space. Delve into the ethical considerations of mining, explore the environmental impact, and learn about the potential regulatory changes that could shape the future of Bitcoin. Discover how to secure your hard-earned bitcoins with the right wallets and understand the importance of staying informed about market trends. 
  "Bitcoin Mining for Beginners" is not just about mining—it's a gateway to a new financial frontier. Whether you're a tech enthusiast, a curious investor, or someone seeking financial independence, this book equips you with the knowledge and tools to embark on a journey of mining and investing in Bitcoin responsibly. Join the revolution, embrace the possibilities, and become part of the exciting world of cryptocurrency with "Bitcoin Mining for Beginners: A Beginner's Guide to Cryptocurrency Gold" Your adventure awaits! 
   

  Ver libro

• 

  Data Science and Machine...

  Liam Stone

  • 0
  • 0
  • 0

  Are you prepared to dive deeply into the fascinating realm of machine learning and data science? Explore the pages of "Data Science and Machine Learning Demystified: Mastering Data Science and Machine Learning- Advanced Techniques and Applications," where data and innovation come together to show the revolutionary potential of modern technology. 
  We dissect the intricacies of modern techniques and uses that go beyond the bounds of conventional data science and machine learning in this extensive book. This book is your guide as you navigate the ever-changing world of modern technology, covering topics such as time series analysis, computer vision, deep learning, natural language processing (NLP), ethical considerations, and data preprocessing. 
  Do you want to be able to use the tools that spur innovation in many industries? Are you eager to discover the intricacies of deep neural network architecture, comprehend the subtleties of deploying AI ethically, and delve into the practice of time series analytic forecasting? "Data Science and Machine Learning Demystified: Mastering Data Science and Machine Learning- Advanced Techniques and Applications" is a must-read to satisfy your curiosity and advance your knowledge. 
  With its painstakingly written chapters, valuable insights, and applicable knowledge, this book gives you the knowledge and abilities you require to succeed in the rapidly evolving fields of data science and machine learning. Explore the possibilities of advanced algorithms, capitalize on the development of ethical AI, and chart a path to become a pioneer in the field of disruptive technology. Seize the opportunity to obtain this invaluable book as you progress toward becoming an expert in the areas of machine learning and data science.

  Ver libro

• 

  A Call to Farms - Reconnecting...

  Jennifer Grayson

  • 0
  • 0
  • 0

  Hope for the future lies with a new generation of regenerative farmers. 
   
   
   
  Within a decade, nearly half of all American farmland will change hands as an older generation of farmers steps aside. In their place, a groundswell of new growers will face numerous challenges, including soil degradation, insufficient income, and investors devouring farmland at a staggering pace. These new farmers are embracing regenerative agriculture—the holistic approach to growing food that restores the soil and biodiversity—in the movement to reclaim our health and the planet's. But can their efforts help reverse an epidemic of diet-related disease, food inequality, and even climate change? 
   
   
   
  To answer that question and more, award-winning journalist Jennifer Grayson embedded herself in a groundbreaking farmer training program, then embarked on this investigative journey. The diverse array of farmers, graziers, and food activists whom she profiles here are working toward better, more sustainable foodways for all. From a one-acre market garden in Oregon to activists reviving food sovereignty in South Carolina, A Call to Farms tells the captivating story of these new agrarians finding hope and purpose in reconnecting to the land and striving to improve the future of American food.

  Ver libro

• 

  Not Going Alone - A Hospice...

  Penny Terrell

  • 0
  • 0
  • 0

  Hospice nurse Penny Terrell has walked alongside countless people in their final moments-holding hands, offering comfort, and witnessing scenes she could never explain. Moments when the dying reach out to loved ones long gone. When they smile at an unseen presence. When they speak to mothers, fathers, children, and even pets who have been absent for decades.In Not Going Alone, Penny shares these stories-not as proof or persuasion, but as a collection of experiences too beautiful to forget. From a boy who saw his sister with her favorite teddy bear, to an elderly woman greeting her mother on a birthday eighty years too late, these accounts cross boundaries of belief, culture, and age.Told with compassion and humility, these stories offer comfort to the grieving, hope to the fearful, and wonder to the curious. They remind us that death may not always be an ending-it is a moment of connection that reaches beyond the veil.If you have ever sat by a loved one's bedside and felt something you could not explain, Not Going Alone will speak to you.

  Ver libro

• 

  Neuroprosthetics and...

  Dr. Nick Coman, I. A.I.

  • 0
  • 0
  • 0

  Welcome to the frontier where mind meets machine. 
  This 48-lecture audio course delivers a sweeping, PhD-level exploration of neuroprosthetics and brain–computer interfaces (BCIs), tracing the arc from early electrical experiments to the latest breakthroughs in neural decoding, cortical stimulation, and cognitive enhancement. It weaves together foundational neuroscience, cutting-edge engineering, landmark clinical use cases, and the emerging societal implications of brain–machine integration. 
  Listeners will journey through the biology of neurons and networks, the physics of electrodes and wireless implants, the clinical realities of stroke, ALS, and Parkinson’s disease, and the technological future of memory prosthetics, speech decoding, and real-time brain–AI symbiosis. Along the way, the course tackles the deepest questions: What happens when a mind is routed through a machine? Who owns neural data? And what does it mean to be augmented? 
  Rigorous, narrative-driven, and designed for the intellectually ambitious, this course is an essential guide to one of the most transformative domains in science and technology.

  Ver libro