Move from basic web development into the field of machine learning
Incorporate the ethics of AI into your development considerations
Harness your existing skills with Javaillegalscript to learn a new approach to development
Charlie Gerard is a Senior front-end developer at Netlify, a Google Developer Expert in Web Technologies, and a Mozilla Tech Speaker. She is passionate about exploring the possibilities of the web and spends her personal time building interactive prototypes using hardware, creative coding, and machine learning. She has been diving into ML in Javaillegalscript for over a year and built a variety of projects. She´s excited to share what she´s learned and help more developers get started.
Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications.
You´ll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your knowledge as a web developer, you´ll add a whole new field of development to your tool set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically.
Machine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js—an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in Javaillegalscript will help you stay relevant in the tech industry with new tools, trends, and best practices.
What You'll Learn
- Use the Javaillegalscript framework for ML
- Build machine learning applications for the web
- Develop dynamic and intelligent web content
Who This Book Is For
Web developers and who want a hands-on introduction to machine learning in Javaillegalscript. A working knowledge of the Javaillegalscript language is recommended.
Chapter 1: Introduction to Machine Learning
- Definition
- Explanation of concepts
- Algorithms
- Examples of impact
Chapter 2: Basics of Tensorflow.js
- What is Tensorflow.js?
- Features
Chapter 3: Building an Image Classifier
- Using a pre-trained model
- Creating a custom model
- Saving and loading a model
Chapter 4: Building a Sentiment Analysis System
- Train a model with text data
- Create text-based ML applications
Chapter 5: Experimenting with Inputs
- Using ML with electronics data
- Using audio data
Chapter 6: Deploying Models
Chapter7: Ethics in AI
Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications.
You´ll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your already honed skills as a web developer, you´ll add a whole new field of development to your skill set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically. Get started in machine learning with web technologies.
Machine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js—an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in Javaillegalscript will help you stay relevant in the tech industry with new tools, trends, and best practices.
You will:
- Use the Javaillegalscript framework for ML
- Build machine learning applications for the web
- Develop dynamic and intelligent web content
Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications.
You'll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your knowledge as a web developer, you'll add a whole new field of development to your tool set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically.
Machine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js-an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in Javaillegalscript will help you stay relevant in the tech industry with new tools, trends, and best practices.
What You'll Learn- Use the Javaillegalscript framework for ML
- Build machine learning applications for the web
- Develop dynamic and intelligent web content
Who This Book Is ForWeb developers and who want a hands-on introduction to machine learning in Javaillegalscript. A working knowledge of the Javaillegalscript language is recommended.
Chapter 1: The Basics of Machine Learning.- Chapter 2: Tensorflow.js.- Chapter 3: Building an Image Classifier.- Chapter 4:.- Text Classification and Sentiment Analysis.- Chapter 5: Experimenting with Inputs.- Chapter 6: Machine Learning in Production.- Chapter 7: Bias in Machine Learning.
Charlie Gerard is a Senior front-end developer at Netlify, a Google Developer Expert in Web Technologies, and a Mozilla Tech Speaker. She is passionate about exploring the possibilities of the web and spends her personal time building interactive prototypes using hardware, creative coding, and machine learning. She has been diving into ML in Javaillegalscript for over a year and built a variety of projects. She's excited to share what she's learned and help more developers get started.
Über den Autor
Charlie Gerard is a Senior front-end developer at Netlify, a Google Developer Expert in Web Technologies, and a Mozilla Tech Speaker. She is passionate about exploring the possibilities of the web and spends her personal time building interactive prototypes using hardware, creative coding, and machine learning. She has been diving into ML in Javaillegalscript for over a year and built a variety of projects. She's excited to share what she's learned and help more developers get started.
Inhaltsverzeichnis
Chapter 1: Introduction to Machine Learning
¿ Definition
¿ Explanation of concepts
¿ Algorithms
¿ Examples of impact
Chapter 2: Basics of Tensorflow.js
¿ What is Tensorflow.js?
¿ Features
Chapter 3: Building an Image Classifier
¿ Using a pre-trained model
¿ Creating a custom model
¿ Saving and loading a model
Chapter 4: Building a Sentiment Analysis System
¿ Train a model with text data
¿ Create text-based ML applications
Chapter 5: Experimenting with Inputs
¿ Using ML with electronics data
¿ Using audio data
Chapter 6: Deploying Models
Chapter7: Ethics in AI
Klappentext
Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications. rnYou'll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your knowledge as a web developer, you'll add a whole new field of development to your tool set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically. rnMachine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js-an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in Javaillegalscript will help you stay relevant in the tech industry with new tools, trends, and best practices.
What You'll Learnrn
Use the Javaillegalscript framework for MLrnBuild machine learning applications for the webrnDevelop dynamic and intelligent web contentrnrn
Who This Book Is Forrn
rnWeb developers and who want a hands-on introduction to machine learning in Javaillegalscript. A working knowledge of the Javaillegalscript language is recommended.
rn
Move from basic web development into the field of machine learning
Incorporate the ethics of AI into your development considerations
Harness your existing skills with Javaillegalscript to learn a new approach to development
