Otros libros que te pueden interesar

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  Present! A Techie's Guide To...

  Poornima Vijayashanker, Karen...

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  The ultimate interactive public speaking guide from tech speakers 
  Poornima Vijayashanker and Karen Catlin that prepares and encourages  
  techies to discover their expertise, confidently share it, and successfully level up in their careers. 
   
  Techies around the world can now jump start and grow their speaking careers with the book, Present! A Techie’s Guide to Public Speaking, written by tech leaders, Poornima Vijayashanker and Karen Catlin. The book serves as a resource for technology professionals who want or need to develop the skills to communicate their expertise effectively, whether in a meeting at work or delivering an engaging talk at a conference. 
   
  Poornima, who is the founder of Femgineer and the founding engineer of Mint.com, collaborated with former Adobe vice president and founder of Karen Catlin Consulting, Karen Catlin, to compile and share their lessons, tips, and techniques learned from their own experiences as professional tech speakers. 
   
  “Karen and I wanted to write this book so that our fellow techies would have a comprehensive resource to help them with their own public speaking endeavors. So many folks in the tech industry have amazing ideas and experience, but they often feel stuck on how to present them effectively. Also, our hope is that more women will be inspired by our stories and encouraged to get out there and share their own valuable expertise through public speaking in order to boost representation of women tech speakers,” Poornima said. 
   
  Present! covers public speaking from A to Z. Through stories, examples, and interactive exercises, Poornima and Karen dive into topics including, overcoming stage fright, exploring personal speaking style, creating the right talk for the right audience, polishing presence and delivery, and nailing any type of talk, whether it’s a lightning or long-form talk or being part of a panel. 
   
  Karen said, “Even though Poornima and I are professional speakers, we felt it was important to share our own feelings of nerves and uncertainty, and bumps we’ve had along the way - and sometimes continue to experience. It was important for us to communicate that no one is perfect and it really is okay when talks don’t always go according to plan. Our hope is that by being open, we’ll be able to give others the confidence and the techniques to handle situations when they arise, deliver an amazing presentation, and most importantly, have FUN”!

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  Shimmer don't Shake - How...

  Nadim Sadek

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  Discover the future of publishing in Shimmer don't Shake: How Publishing can embrace AI by Nadim Sadek. This groundbreaking book explores the evolving landscape of the publishing industry and the integration of artificial intelligence (AI) to revolutionize the way books are promoted, matched with readers, and valued.Authors often feel frustrated with the limited promotion of their books by traditional publishers. Marketing departments struggle to effectively connect with readers due to limited resources and the strain of managing exasperated authors. On the other hand, readers yearn for a more effective way to find books that suit their tastes. There is a vast untapped potential for matching willing audiences with suitable books, written by talented authors who seek greater reach.Shimmer don't Shake presents AI as the solution to these challenges. By leveraging AI technologies, publishers can optimize product descriptions, create unique marketing copy, and generate personalized book recommendations. Large language models like the GPT-series enable automated generation of high-quality book descriptions, freeing marketers from the time-consuming task of manual crafting. AI systems can be trained to consider the psychological profile of a book and match it to the frame of mind of a specific audience, ensuring a more effective connection between readers and books.With AI, the publishing industry can enter a new era of innovation and success. Shimmer don't Shake showcases how AI can help authors, readers, and publishers alike. Authors can gain greater visibility and reach as their books are matched with their target audience, allowing their genius to shimmer in the public's eye. Readers can finally discover books that fulfill their needs and preferences, enhancing their reading experience. Publishers can extract more value from their vast catalog of titles, ensuring that every book has the opportunity to shine.This book goes beyond theoretical discussions and provides practical insights on integrating AI into the publishing process. It addresses the ethical considerations surrounding AI and emphasizes the need to preserve the artistic merit of writing. With a blend of expertise in publishing, psychology, AI, and marketing, the author presents a comprehensive guide to leveraging AI for successful book promotion and engagement.Shimmer don't Shake is a must-read for authors, publishers, and anyone interested in the future of the publishing industry. It offers a compelling vision of how AI can transform publishing, allowing books to embrace new opportunities, connect with readers on a deeper level, and ultimately thrive in the digital age.

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  Cyber Security for Beginners -...

  Daniel Greene

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  In a world powered by technology and interconnectivity, the digital landscape is both a playground and a battleground. "Cybersecurity for Beginners" is your essential companion on the journey to fortifying your online presence and understanding the fundamentals of cybersecurity. 
  Embark on a captivating exploration of the evolution of cyber threats, from the early days of viruses to the sophisticated challenges of the modern digital era. This book goes beyond the headlines, delving into the importance of cybersecurity for both individuals and businesses, unraveling the layers of protection needed to safeguard your identity, privacy, and sensitive information. 
  With an easy-to-follow approach, you'll learn the art of creating strong, unique passwords and the power of two-factor authentication. Navigate the treacherous waters of social engineering attacks, recognizing phishing emails and thwarting malicious tactics aimed at manipulating unsuspecting users. 
  Equip yourself with the tools to secure your devices and networks, understanding the role of antivirus software, and implementing network security best practices. Uncover the secrets of safe online behavior, from web browsing best practices to safeguarding your social media presence. 
  Business owners will discover invaluable insights into small business cybersecurity and corporate cybersecurity policies, empowering them to protect their enterprises from the ever-growing array of digital threats. 
  As you progress through "Cybersecurity for Beginners" you'll gain a comprehensive understanding of the cybersecurity landscape, empowering you to make informed decisions and defend against potential threats. The book concludes with a glimpse into the diverse career paths within cybersecurity and guidance on further learning, making it an ideal resource for those aspiring to enter this dynamic and crucial field.

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  We Are All Stardust - Scientists...

  Stefan Klein

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  A sterling roster of natural and social scientists in conversation with top-flight journalist Stefan Klein—shedding new light on their work, their lives, and what they still hope to discover 
  When acclaimed science writer Stefan Klein asks Nobel Prize–winning chemist Roald Hoffmann what sets scientists apart, Hoffmann says, “First and foremost, curiosity.” In this collection of intimate conversations with nineteen of the world’s best-known scientists (including three Nobel Laureates), Klein lets us listen in as today’s leading minds reveal what they still hope to discover—and how their paradigm-changing work entwines with their lives outside the lab. 
  From the sports car that physicist Steven Weinberg says helped him on his quest for “the theory of everything” to the jazz musicians who gave psychologist Alison Gopnik new insight into raising children, these scientists explain how they find inspiration everywhere.  
  Hear from renowned scientists including: evolutionary biologist Richard Dawkins on selfishness,anthropologist Sarah Hrdy on motherhood,primatologist Jane Goodall on animal behavior,neuroscientist V. S. Ramachandran on consciousness,geographer Jared Diamond on chance in history, andmany other luminaries.

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  Made To Live

  Dr. Paul Saba

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  Made to Live depicts a physician’s journey to save lives. Dr. Paul Saba begins his story with the battle to save the life of his baby girl, Jessica, who was born with a severe congenital cardiac malformation. He describes the challenges of facing difficult diagnoses through both his personal experiences and those of his patients. This book debunks the myths of euthanasia and assisted suicide. Dr. Saba’s battle has taken him to the Canadian courts, where he has been silenced from challenging Canada’s euthanasia laws. He has been forbidden from utilizing the Canadian Constitution or presenting his arguments in court to oppose euthanasia and assisted suicide. Dr. Saba believes no one can know what the future holds. Hope and loving support can overcome many obstacles in life’s journey. In the end, we are all “made to live,” as his daughter Jessica inscribed on one of her paintings at seven years old.

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  Machine Learning with Python -...

  Alexander Cane

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  Ways to combat retraining depend on the algorithm and consist of the correct values of the trainer's met parameters. In practice, model estimation is not performed on the same input data that was used to train the model. Divide 10-20% of all available data into a separate set and call it a set for evaluation. We will bring the other 10-20% into the set for ratification, and 60-80% of the remaining ones will be given to the trainer. The principle of data sharing depends on the data and the task. Random sampling is often a good method if inputs are independent of each other, and there is no strong imbalance between the number of positive and negative entries. 
  The intuitive analogy here is the same as with university studies: the teacher solves some problems with students in pairs and gives other’s similar tasks in the exam. What is important here (both in teaching students and models) is that these tasks are varied, and students cannot simply memorize the answers, and those who have mastered the material (similar tasks) will be able to repeat the thought process and answer correctly. 
  In machine learning, we split into data two sets: we will use the evaluation set to evaluate each model we train, using different approaches, algorithms, and model types to select the best one. That is, for each model, we will have two precision values - precision on the training dataset and precision on the evaluation dataset. It is normal for the former to be higher than the second, but not significantly. A big difference indicates retraining.

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