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Building Neural Networks from Scratch with Python
- Narrado por: Bryan Hughey
- Duración: 3 h y 50 m
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Resumen del Editor
Unlock the World of Neural Networks in Python!
Ready to dive into AI and machine learning? This guide makes it easy, even if you're a Python pro or a total beginner!
Discover how to:
- Understand the fundamentals of neural networks and their benefits
- Code without drowning in complex math equations
- Become a debugging master for efficient coding and data testing
- Stay updated on the latest tech trends and advancements
- Demystify layers, gradients, and tackle underfitting/overfitting
Transform your coding skills and knowledge with beginner-friendly projects!
Imagine a world where machine learning is accessible to all, including you. This guide will change how you perceive neural networks and propel you confidently into the realm of coding!
Don't miss this opportunity! Master neural networks and make a difference in machine learning. Click "Add to Cart" now!
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Historia
With the world going remote, and data science following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information. Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.
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Great material for starters
- De Amazon Customer en 08-01-22
De: Elizabeth Clarke
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Data Mesh
- Delivering Data-Driven Value at Scale
- De: Zhamak Dehghani
- Narrado por: Zura Johnson
- Duración: 14 h y 2 m
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We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.
De: Zhamak Dehghani
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How to Raise a Healthy Gamer
- End Power Struggles, Break Bad Screen Habits, and Transform Your Relationship with Your Kids
- De: Alok Kanojia MD MPH
- Narrado por: Alok Kanojia MD MPH
- Duración: 6 h y 15 m
- Versión completa
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Whether your goal is to prepare your child for a healthy relationship to technology or to curb unhealthy amounts of time spent gaming, How to Raise a Healthy Gamer will help you better understand, communicate with, and—ultimately—empower your gaming enthusiast to live their best life.
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Great voice and message!
- De Shiro en 03-26-24
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Grokking Artificial Intelligence Algorithms
- Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Illustrated Guide Including Exercises and Examples
- De: Rishal Hurbans
- Narrado por: Jeromy Lloyd, Julie Brierley
- Duración: 7 h y 25 m
- Versión completa
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Grokking Artificial Intelligence Algorithms is a fully illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises.
De: Rishal Hurbans
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The AI Playbook
- Mastering the Rare Art of Machine Learning Deployment (Management on the Cutting Edge)
- De: Eric Siegel
- Narrado por: Eric Siegel
- Duración: 9 h y 20 m
- Versión completa
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The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment.
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The most important book on AI
- De Diego Murillo Esquivel en 03-21-24
De: Eric Siegel
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Possible Minds
- Twenty-Five Ways of Looking at AI
- De: John Brockman - editor
- Narrado por: Kathleen McInerney, Will Damron, Jason Culp, y otros
- Duración: 10 h y 39 m
- Versión completa
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The fruit of the long history of John Brockman's profound engagement with the most important scientific minds who have been thinking about AI - from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram - Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures are deeply concerned with the threat of AI, including the existential one, while others have a very different view.
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The worst book purchase I’ve made in a long while
- De Y. Zhao en 06-07-19
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The Pragmatic Programmer: 20th Anniversary Edition, 2nd Edition
- Your Journey to Mastery
- De: David Thomas, Andrew Hunt
- Narrado por: Anna Katarina
- Duración: 9 h y 55 m
- Versión completa
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Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.
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An excellent and entertaining technical book
- De Amazon Customer en 01-21-20
De: David Thomas, y otros
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Artificial Intelligence
- A Guide for Thinking Humans
- De: Melanie Mitchell
- Narrado por: Abby Craden, Melanie Mitchell, Tony Wolf
- Duración: 9 h y 33 m
- Versión completa
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In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.
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Start understanding AI right here!
- De Chad M. en 01-26-20
De: Melanie Mitchell
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A Mind for Numbers
- How to Excel at Math and Science (Even If You Flunked Algebra)
- De: Barbara Oakley
- Narrado por: Grover Gardner
- Duración: 7 h y 4 m
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In A Mind for Numbers, Dr. Oakley lets us in on the secrets to learning effectively - secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions - you just need the creativity to see them.
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Not quite what you expect
- De Sean P Ruggier en 07-20-22
De: Barbara Oakley
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Life 3.0
- Being Human in the Age of Artificial Intelligence
- De: Max Tegmark
- Narrado por: Rob Shapiro
- Duración: 13 h y 29 m
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How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.
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Irritating
- De Thomas Cotter en 10-25-17
De: Max Tegmark
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Algorithms to Live By
- The Computer Science of Human Decisions
- De: Brian Christian, Tom Griffiths
- Narrado por: Brian Christian
- Duración: 11 h y 50 m
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From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
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Great listen, just don't expect tips!
- De Adam Hosman en 08-07-17
De: Brian Christian, y otros
Lo que los oyentes dicen sobre Building Neural Networks from Scratch with Python
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Ejecución
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Historia
- Evie Leach
- 02-22-24
Long-Term Learning and Skill Development
Beyond just teaching neural network concepts, a book that fosters long-term learning and skill development by providing resources for further exploration, recommending additional reading materials, or suggesting avenues for practical application and experimentation can empower readers to continue their learning journey beyond the confines of the book.
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Historia
- Morgan Armstrong
- 02-21-24
Performance Optimization
In addition to implementing neural networks, understanding how to optimize their performance is crucial. A book that discusses strategies for improving training speed, reducing memory usage, and optimizing code for deployment can be highly beneficial.
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Ejecución
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- Harrison Adams
- 02-22-24
Community Contributions and Feedback
Books that actively solicit feedback from readers and incorporate community contributions, such as code optimizations, alternative implementations, or additional examples, demonstrate a commitment to continuous improvement and collaborative learning, enhancing the overall value of the resource.
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- Logan Hyde
- 02-21-24
Supplementary Resources
Look for books that offer supplementary resources such as online tutorials, code repositories, or companion websites with additional exercises, datasets, and updates to keep pace with advancements in the field.
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- Adam Bryan
- 02-22-24
Practical Problem-Solving Approach
Rather than focusing solely on theory, a book that adopts a problem-solving approach can be particularly appealing. By presenting real-world problems and demonstrating how neural networks can be used to solve them, readers can gain a deeper understanding of the practical applications of these technologies.
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Ejecución
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Historia
- Katie Shah
- 02-21-24
Author's Expertise
Assess the author's expertise and credibility in the field of neural networks and Python programming. Books authored by experienced practitioners, researchers, or educators with a strong track record can offer valuable insights and practical advice.
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- Katherine Allan
- 02-21-24
Real-World Applications
Providing insights into how neural networks are used in real-world applications across various domains, such as computer vision, natural language processing, and reinforcement learning, can make the content more engaging and relevant.
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Historia
- Finlay Coles
- 02-21-24
Error Handling and Debugging
Neural network programming can be prone to errors, especially for beginners. A book that addresses common pitfalls, debugging strategies, and error handling techniques can be invaluable in helping readers troubleshoot their code effectively.
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- Sophie Dixon
- 02-21-24
Community Support
Books that are supported by an active online community or forums where readers can ask questions, share insights, and collaborate on projects can provide added value beyond the content of the book itself.
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- Charlie Holland
- 02-22-24
Advanced Topics for Experienced Practitioners
On the other hand, experienced practitioners may be looking for a book that goes beyond the basics and delves into advanced topics such as generative adversarial networks (GANs), attention mechanisms, or transfer learning. An excellent resource should offer in-depth coverage of these advanced concepts, providing valuable insights and practical techniques for seasoned professionals.
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