The Python Ai Blueprint
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The Python Ai Blueprint
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Author : Eric Porter
language : en
Publisher: Independently Published
Release Date : 2025-08-20
The Python Ai Blueprint written by Eric Porter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-20 with Computers categories.
Unlock the Power of Python and Artificial Intelligence-No Experience Required! Are you ready to dive into the world of coding, automation, and artificial intelligence but don't know where to start? The Python AI Blueprint is your step-by-step guide to learning Python while building real, practical projects that prepare you for today's tech-driven world. This beginner-friendly guide walks you through the essentials of Python programming, from writing your first lines of code to creating automation scripts, analyzing data, and building AI projects. Every chapter is designed to be hands-on and approachable, making sure you not only learn the concepts but also apply them immediately through engaging projects. By the end of this book, you'll have the confidence to write Python code, automate everyday tasks, analyze real datasets, and even create AI-powered applications. Whether you're looking to boost your career, explore a new hobby, or step into the future of technology, this book gives you the blueprint to succeed. Inside, you'll discover how to: Learn Python programming from scratch with clear explanations and examples Automate repetitive tasks to save time and increase productivity Work with data to gain valuable insights using modern Python libraries Build beginner-friendly AI projects and understand the basics of machine learning Develop a solid foundation in coding that you can apply to real-world scenarios About the Author Eric Porter is passionate about making coding and artificial intelligence accessible to everyone. With a clear teaching style and a focus on practical projects, he helps beginners learn the skills they need to thrive in today's digital world. Start your journey into coding and AI today.
Ai Blueprints
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Author : Dr. Joshua Eckroth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-31
Ai Blueprints written by Dr. Joshua Eckroth and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-31 with Computers categories.
The essential blueprints and workflow you need to build successful AI business applications Key FeaturesLearn and master the essential blueprints to program AI for real-world business applicationsGain insights into how modern AI and machine learning solve core business challengesAcquire practical techniques and a workflow that can build AI applications using state-of-the-art software librariesWork with a practical, code-based strategy for creating successful AI solutions in your businessBook Description AI Blueprints gives you a working framework and the techniques to build your own successful AI business applications. You’ll learn across six business scenarios how AI can solve critical challenges with state-of-the-art AI software libraries and a well thought out workflow. Along the way you’ll discover the practical techniques to build AI business applications from first design to full coding and deployment. The AI blueprints in this book solve key business scenarios. The first blueprint uses AI to find solutions for building plans for cloud computing that are on-time and under budget. The second blueprint involves an AI system that continuously monitors social media to gauge public feeling about a topic of interest - such as self-driving cars. You’ll learn how to approach AI business problems and apply blueprints that can ensure success. The next AI scenario shows you how to approach the problem of creating a recommendation engine and monitoring how those recommendations perform. The fourth blueprint shows you how to use deep learning to find your business logo in social media photos and assess how people interact with your products. Learn the practical techniques involved and how to apply these blueprints intelligently. The fifth blueprint is about how to best design a ‘trending now’ section on your website, much like the one we know from Twitter. The sixth blueprint shows how to create helpful chatbots so that an AI system can understand customers’ questions and answer them with relevant responses. This book continuously demonstrates a working framework and strategy for building AI business applications. Along the way, you’ll also learn how to prepare for future advances in AI. You’ll gain a workflow and a toolbox of patterns and techniques so that you can create your own smart code. What you will learnAn essential toolbox of blueprints and advanced techniques for building AI business applicationsHow to design and deploy AI applications that meet today’s business needsA workflow from first design stages to practical code solutions in your next AI projectsSolutions for AI projects that involve social media analytics and recommendation enginesPractical projects and techniques for sentiment analysis and helpful chatbotsA blueprint for AI projects that recommend products based on customer purchasing habitsHow to prepare yourself for the next decade of AI and machine learning advancementsWho this book is for Programming AI Business Applications provides an introduction to AI with real-world examples. This book can be read and understood by programmers and students without requiring previous AI experience. The projects in this book make use of Java and Python and several popular and state-of-the-art opensource AI libraries.
Blueprints Of Intelligence Designing Ai For Every Industry
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Author : M.B. Chatfield
language : en
Publisher:
Release Date :
Blueprints Of Intelligence Designing Ai For Every Industry written by M.B. Chatfield and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Are you ready to revolutionize your industry with AI? In a world driven by data and innovation, artificial intelligence is no longer a futuristic concept but a tangible reality shaping every sector. Blueprints of Intelligence provides a comprehensive guide for businesses, developers, and enthusiasts alike, offering practical insights and actionable strategies to harness the power of AI. Discover how to: Design AI solutions tailored to your specific industry and business goals. Implement AI effectively within your organization. Overcome common challenges in AI development and deployment. Stay ahead of the curve in the rapidly evolving AI landscape. Whether you're a seasoned AI practitioner or just starting your AI journey, Blueprints of Intelligence is your essential roadmap to success. Order your copy today and start building a smarter future! #AI #artificialintelligence #machinelearning #deeplearning #datascience #businesstransformation #innovation #competitiveadvantage #AI #artificialintelligence #machinelearning #deeplearning #datascience #businessintelligence #innovation #technology #futureofwork
Machine Learning And Data Science Blueprints For Finance
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Author : Hariom Tatsat
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-10-01
Machine Learning And Data Science Blueprints For Finance written by Hariom Tatsat and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-01 with Computers categories.
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You'll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations
The Ai Marketing Blueprint
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Author : Lucas Edward
language : en
Publisher: Independently Published
Release Date : 2025-07-10
The Ai Marketing Blueprint written by Lucas Edward and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-10 with Computers categories.
Unlock the Future of Marketing with AI-Powered Precision Are you ready to stop guessing and start dominating your market with smarter, faster, and more personalized marketing strategies? The AI Marketing Blueprint is your hands-on guide to transforming real-world business challenges into data-driven solutions using the latest in machine learning and generative AI-all powered by Python. This book isn't just theory. It's a practical playbook built for marketers, developers, and entrepreneurs who want to implement AI now-not someday. Whether you're optimizing customer segmentation, building predictive models, or generating personalized content at scale, this guide walks you through real-world projects step by step. What You'll Learn Inside: Build real ML-powered marketing tools using Python and popular libraries like Scikit-learn, Pandas, and TensorFlow Leverage generative AI (like GPT and LLMs) to create email campaigns, ads, and landing pages that convert Understand customer behavior through advanced analytics, clustering, and churn prediction Automate workflows with AI agents and integrate them into your existing stack Deploy smarter personalization strategies that keep your audience engaged and loyal Each chapter includes ready-to-run code, clear business use cases, and implementation tips to help you go from data to decision in record time-without needing a PhD in data science. Who This Book Is For: Digital marketers who want to work smarter with AI Data-savvy entrepreneurs building AI-first products Python developers seeking real-world applications in marketing Business leaders and growth hackers ready to scale with intelligent automation Your competitors are already using AI. The only question is: will you catch up-or leap ahead? Grab your copy of The AI Marketing Blueprint and start building your AI-powered marketing engine today.
Python Machine Learning Blueprints
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Author : Alexander Combs
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-31
Python Machine Learning Blueprints written by Alexander Combs and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with Computers categories.
Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Key FeaturesGet to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and KerasImplement advanced concepts and popular machine learning algorithms in real-world projectsBuild analytics, computer vision, and neural network projects Book Description Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects. What you will learnUnderstand the Python data science stack and commonly used algorithmsBuild a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window Understand NLP concepts by creating a custom news feedCreate applications that will recommend GitHub repositories based on ones you’ve starred, watched, or forkedGain the skills to build a chatbot from scratch using PySparkDevelop a market-prediction app using stock dataDelve into advanced concepts such as computer vision, neural networks, and deep learningWho this book is for This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.
Artificial Intelligence Research
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Author : Anban Pillay
language : en
Publisher: Springer Nature
Release Date : 2023-11-28
Artificial Intelligence Research written by Anban Pillay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-28 with Computers categories.
This book constitutes the refereed proceedings of the 4th Southern African Conference on Artificial Intelligence Research, SACAIR 2023, held in Muildersdrift, South Africa, in December 2023. The 22 full papers presented in these proceedings were carefully reviewed and selected from 66 submissions. The papers are organized in the following topical sections: Responsible and Ethical AI Track; Socio-Technical and Human-Centered AI Track; Algorithmic, and Data Driven and Symbolic AI.
The Complete Langgraph Blueprint
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Author : JAMES KARANJA. MAINA
language : en
Publisher: Independently Published
Release Date : 2025-01-11
The Complete Langgraph Blueprint written by JAMES KARANJA. MAINA and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-11 with Computers categories.
"The Complete LangGraph Blueprint" is your step-by-step guide to understanding and building AI tools, no matter your experience level. Designed for beginners, this book takes complex AI topics and makes them simple, practical, and easy to follow. **Complete code examples are available on Github under jkmaina/LangGraphProjects** Learn how to create powerful AI agents that can solve real-world problems, boost business efficiency, and transform industries. From the basics of programming to designing advanced AI systems, this book is packed with hands-on examples, clear explanations, and practical exercises. Whether you're curious about AI, starting your first project, or looking to expand your skills, this book will guide you every step of the way. Dive in and discover how AI can unlock new possibilities for you and your business.
Build A Text To Image Generator From Scratch
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Author : Mark Liu
language : en
Publisher: Simon and Schuster
Release Date : 2026-01-13
Build A Text To Image Generator From Scratch written by Mark Liu and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-13 with Computers categories.
This book takes you step-by-step through creating your own AI models that can generate images from text. You’ll explore two methods of image generation—vision transformers and diffusion models—and learn vital AI development techniques as you go. Dive into the powerful models behind AI image generators. The best way to learn is to build something from scratch, and in this book you’ll build your very own diffusion model and vision transformer. As you work through each stage of development, you’ll develop an understanding of how these models can be customized, applied, and integrated for impressive multimodal AI. Build a Text-to-Image Generator (from Scratch) teaches you how to: • Build and train models to generate high resolution images based on text descriptions • Edit an existing image based on text prompts • Build and train a model to add captions to images • Build and train a vision transformer to classify images • Fine-tune LLMs for downstream tasks such as classification, text or image generation • Better differentiate real images from deepfakes About the technology AI-generated images appear everywhere from high-end advertising to casual social media feeds. Text-to-image tools like Dall-e, Midjourney, and Flux make it easy to create AI art, but how do they work? In this book, you’ll find out by building your own text-to-image generator! About the book Build a Text-to-Image Generator (from Scratch) explores both transformer-based image generation and diffusion models. You’ll work hands-on to build a pair of simple generation models that can classify images, automatically add captions, reconstruct images, and enhance existing graphics. Author Mark Liu guides you every step of the way with clear explanations, informative diagrams, and eye-opening examples you can build on your own laptop. What's inside • Build a vision transformer to classify images • Edit images using text prompts • Fine-tune image models About the reader Requires basic knowledge of generative AI models and intermediate Python skills. About the author Mark Liu is the founding director of the Master of Science in Finance program at the University of Kentucky. He is also the author of Learn Generative AI with PyTorch. Table of Contents Part 1 1 A tale of two models: Transformers and diffusions 2 Build a transformer 3 Classify images with a vision transformer 4 Add captions to images Part 2 5 Generate images with diffusion models 6 Control what images to generate in diffusion models 7 Generate high-resolution images with diffusion models Part 3 8 CLIP: A model to measure the similarity between image and text 9 Text-to-image generation with latent diffusion 10 A deep dive into Stable Diffusion Part 4 11 VQGAN: Convert images into sequences of integers 12 A minimal implementation of DALL-E Part 5 13 New developments and challenges in text-to-image generation A Installing PyTorch and enabling GPU training locally and in Colab
Blueprints For Text Analytics Using Python
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Author : Jens Albrecht
language : en
Publisher: O'Reilly Media
Release Date : 2020-12-04
Blueprints For Text Analytics Using Python written by Jens Albrecht and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-04 with Computers categories.
Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly. Extract data from APIs and web pages Prepare textual data for statistical analysis and machine learning Use machine learning for classification, topic modeling, and summarization Explain AI models and classification results Explore and visualize semantic similarities with word embeddings Identify customer sentiment in product reviews Create a knowledge graph based on named entities and their relations