Apple Machine Language PDF Download
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Author: Don Inman
Publisher:
ISBN:
Category : Apple computer
Languages : en
Pages : 312
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Book Description
Author: Don Inman
Publisher:
ISBN:
Category : Apple computer
Languages : en
Pages : 312
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Book Description
Author: Richard Mansfield
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 470
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Book Description
Provides Programming Techniques With Step-by-Step Explanations for the Commodore 64, Atari, Vic 20, Pet-CBM & Apple Computers
Author: Tom Owad
Publisher: Elsevier
ISBN: 008049921X
Category : Computers
Languages : en
Pages : 369
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Book Description
The perfect book for computer hobbyists, Apple I Replica Creation: Back to the Garage is sure to equally appeal both to kids with gift certificates looking for fun on a snowy January day as well as to adults eager to learn the basics of simple microcomputer design. The book will begin by teaching readers the basics of computer processing by discussing the functionality of the 9 chip on the Apple I motherboard. From there, readers will be taught the basics of memory access and video input and output. Readers then learn how to assemble the various hardware components into a fully functioning Apple I replica. Finally, readers will learn how to write their own applications to take run on their new/old computer.*Written by the webmaster of AppleFritter.com, which is the most popular Mac hobbyist Web site on the internet with over 10,000 visitors a day. *Interest in vintage Apple I Computers is extremely high, with original machines selling for as much as $50,000. *The only modern-day book to address general microcomputer design from a hobbyist perspective
Author: Lon Poole
Publisher: Osborne Publishing
ISBN: 9780881341041
Category : Apple II (Computer)
Languages : en
Pages : 482
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Book Description
Author: Mike Smith
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 332
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Book Description
Author: Roger Wagner
Publisher:
ISBN:
Category : 6502 (Microprocessor)
Languages : en
Pages : 296
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Book Description
Author: Don Worth
Publisher:
ISBN:
Category : Apple II (Computer)
Languages : en
Pages : 302
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Book Description
Author: Jeffrey Stanton
Publisher: Arrays
ISBN: 9780912003016
Category : Apple computer
Languages : en
Pages : 288
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Book Description
Author: Scot Kamins
Publisher: Addison-Wesley Longman
ISBN: 9780201177565
Category : Computers
Languages : en
Pages : 340
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Book Description
For intermediate to advanced programmers, this complete guide details all thefeatures of the Applesoft language. It offers clear explanations and examplesof the advanced concepts in program planning, design and development.
Author: raywenderlich Tutorial Team
Publisher:
ISBN: 9781942878933
Category :
Languages : en
Pages :
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Book Description
Learn Machine Learning!Machine learning is one of those topics that can be daunting at first blush. It's not clear where to start, what path someone should take and what APIs to learn in order to get started teaching machines how to learn.This is where Machine Learning by Tutorials comes in! In this book, we'll hold your hand through a number of tutorials, to get you started in the world of machine learning. We'll cover a wide range of popular topics in the field of machine learning, while developing apps that work on iOS devices.Who This Book Is ForThis books is for the intermediate iOS developer who already knows the basics of iOS and Swift development, but wants to understand how machine learning works.Topics covered in Machine Learning by TutorialsCoreML: Learn how to add a machine learning model to your iOS apps, and how to use iOS APIs to access it.Create ML: Learn how to create your own model using Apple's Create ML Tool.Turi Create and Keras: Learn how to tune parameters to improve your machine learning model using more advanced tools.Image Classification: Learn how to apply machine learning models to predict objects in an image.Convolutional Networks: Learn advanced machine learning techniques for predicting objects in an image with Convolutional Neural Networks (CNNs).Sequence Classification: Learn how you can use recurrent neural networks (RNNs) to classify motion from an iPhone's motion sensor.Text-to-text Transform: Learn how to use machine learning to convert bodies of text between two languages.By the end of this book, you'll have a firm understanding of what machine learning is, what it can and cannot do, and how you can use machine learning in your next app!
