From Zero To Ai Hero Build A Profitable Chatgpt Business In 30 Days
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From Zero to AI Hero: Build a Profitable ChatGPT Business in 30 Days
Author: Pradeep Maurya
language: en
Publisher: Pradip Kumar Maurya
Release Date: 2025-07-07
From Zero to AI Hero: Build a Profitable ChatGPT Business in 30 Days Struggling to turn your entrepreneurial dreams into reality? Feeling overwhelmed by the complexities of starting an AI-driven business? From Zero to AI Hero: Build a Profitable ChatGPT Business in 30 Days is your step-by-step guide to launching a thriving business using ChatGPT’s cutting-edge capabilities. This ebook solves the problem of navigating the AI landscape by providing a clear, actionable roadmap to create a profitable venture from scratch—no tech expertise required! Key Features: 30-Day Action Plan: A practical, day-by-day blueprint to build your ChatGPT-based business, from ideation to profit. Real-World Strategies: Learn how to leverage ChatGPT for content creation, customer service automation, and revenue generation. Low-Cost Setup: Discover budget-friendly tools and techniques to minimize startup costs while maximizing impact. Case Studies & Examples: Real success stories and practical applications to inspire and guide your journey. Scalable Growth Tips: Proven methods to scale your business and stay ahead in the AI-driven market. Who It’s For: This ebook is perfect for aspiring entrepreneurs, small business owners, freelancers, and anyone eager to harness AI technology to create a profitable online business. Whether you’re a beginner with no tech background or a seasoned professional looking to pivot into AI, this guide is tailored for you. Call-to-Action: Ready to transform your future with AI? Download From Zero to AI Hero now and start building your profitable ChatGPT business today! Don’t miss your chance to become an AI hero in just 30 days—grab your copy and take the first step toward financial freedom!
Deep Learning and the Game of Go
Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning
Authorpreneur
Author: Jesse Tevelow
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2018-01-05
Are you tired of your job? Looking for something more rewarding and profitable? Have you ever thought, or been told, "You should write a book, or start a business!" Well, it's time to give it a shot. Jesse Tevelow has self-published two books (Authorpreneur is his third), which are both #1 bestsellers on track to generate $30,000 per year in passive income. And that's just for starters. He also used his books to launch a business that banked over six figures in its first year. Other part-time authors are doing far better, earning six, or even seven figures per year. Many have leveraged their books to build fulltime business ventures. This wasn't possible ten years ago, but the publishing industry has changed. People are finding unparalleled freedom and wealth through writing, and you can too. Authorpreneur will show you how.