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| Author | : Daniel Watt |
| Publisher | : McGraw-Hill Companies |
| Total Pages | : 340 |
| Release | : 1986 |
| Genre | : Computers |
| ISBN | : 9780070685802 |
Explains how to use the computer language LOGO to write programs and play games with IBM microcomputers.
| Author | : Robert Finkel |
| Publisher | : Lund Humphries Publishers Limited |
| Total Pages | : 144 |
| Release | : 2021-03-12 |
| Genre | : |
| ISBN | : 9781848224704 |
In the late 1960s, IBM was one of the world's pre-eminent corporations, employing over 250,000 people in 100 countries and producing some of the most advanced products on earth. IBM President Thomas J. Watson Jnr. sought to elevate the company's image by hiring world-renowned design consultants, including Eliot Noyes and Paul Rand. As well as developing the iconic IBM logo and a corporate design guide, Rand also brought together a remarkable team of internal staff designers. One of the designers he hand-picked was Ken White, who, along with John Anderson and Tom Bluhm, headed up the design team at the IBM Design Center in Boulder, Colorado. Together, they initiated a poster program as a platform for elevating internal communications and initiatives within the company. These posters were displayed in hallways, conferences rooms, and cafeterias throughout IBM campuses, with subject matter including everything from encouraging equal opportunity policies, to reminders on best security practices, to promoting a family fun day. Designers often incorporated figurative typography, dry humor, visual puns, and photography to craft memorable and compelling messages.
| Author | : Joyce Tobias |
| Publisher | : |
| Total Pages | : 466 |
| Release | : 1985 |
| Genre | : IBM microcomputers |
| ISBN | : |
| Author | : Sharon K. Burrowes |
| Publisher | : |
| Total Pages | : 413 |
| Release | : 1985-01-01 |
| Genre | : Computer programming |
| ISBN | : 9780030717239 |
| Author | : Arindam Ganguly |
| Publisher | : BPB Publications |
| Total Pages | : 222 |
| Release | : 2021-06-19 |
| Genre | : Computers |
| ISBN | : 9390684706 |
Utilize Python and IBM Watson to put real-life use cases into production. KEY FEATURES ● Use of popular Python packages for building Machine Learning solutions from scratch. ● Practice various IBM Watson Machine Learning tools for Computer Vision and Natural Language Processing applications. ● Expert-led best practices to put your Machine Learning solutions into the production environment. DESCRIPTION This book will take you through the journey of some amazing tools IBM Watson has to offer to leverage your machine learning concepts to solve some real-life use cases that are pertinent to the current industry. This book explores the various Machine Learning fundamental concepts and how to use the Python programming language to deal with real-world use cases. It explains how to take your code and deploy it into IBM Cloud leveraging IBM Watson Machine Learning. While doing so, the book also introduces you to several amazing IBM Watson tools such as Watson Assistant, Watson Discovery, and Watson Visual Recognition to ease out various machine learning tasks such as building a chatbot, creating a natural language processing pipeline, or an optical object detection application without a single line of code. It covers Watson Auto AI with which you can apply various machine learning algorithms and pick out the best for your dataset without a single line of code. Finally, you will be able to deploy all of these into IBM Cloud and configure your application to maintain the production-level runtime. After reading this book, you will find yourself confident to administer any machine learning use case and deploy it into production without any hassle. You will be able to take up a complete end-to-end machine learning project with complete responsibility and deliver the best standards the current industry has to offer. Towards the end of this book, you will be able to build an end-to-end production-level application and deploy it into Cloud. WHAT YOU WILL LEARN ● Review the basics of Machine Learning and learn implementation using Python. ● Learn deployment using IBM Watson Studio and Watson Machine Learning. ● Learn how to use Watson Auto AI to automate hyperparameter tuning. ● Learn Watson Assistant, Watson Visual Recognition, and Watson Discovery. ● Learn how to implement the various layers of an end-to-end AI application. ● Learn all the configurations needed for production deployment to Cloud. WHO THIS BOOK IS FOR This book is for all data professionals, ML enthusiasts, and software developers who are looking for real solutions to be developed. The reader is expected to have a prior knowledge of the web application architecture and basic Python fundamentals. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Deep Learning 3. Features and Metrics 4. Build Your Own Chatbot 5. First Complete Machine Learning Project 6. Perfecting Our Model 7. Visual Recognition 8. Watson Discovery 9. Deployment and Others 10. Deploying the Food Ordering Bot
| Author | : Dino Quintero |
| Publisher | : IBM Redbooks |
| Total Pages | : 278 |
| Release | : 2019-06-05 |
| Genre | : Computers |
| ISBN | : 0738442941 |
This IBM® Redbooks® publication is a guide about the IBM PowerAI Deep Learning solution. This book provides an introduction to artificial intelligence (AI) and deep learning (DL), IBM PowerAI, and components of IBM PowerAI, deploying IBM PowerAI, guidelines for working with data and creating models, an introduction to IBM SpectrumTM Conductor Deep Learning Impact (DLI), and case scenarios. IBM PowerAI started as a package of software distributions of many of the major DL software frameworks for model training, such as TensorFlow, Caffe, Torch, Theano, and the associated libraries, such as CUDA Deep Neural Network (cuDNN). The IBM PowerAI software is optimized for performance by using the IBM Power SystemsTM servers that are integrated with NVLink. The AI stack foundation starts with servers with accelerators. graphical processing unit (GPU) accelerators are well-suited for the compute-intensive nature of DL training, and servers with the highest CPU to GPU bandwidth, such as IBM Power Systems servers, enable the high-performance data transfer that is required for larger and more complex DL models. This publication targets technical readers, including developers, IT specialists, systems architects, brand specialist, sales team, and anyone looking for a guide about how to understand the IBM PowerAI Deep Learning architecture, framework configuration, application and workload configuration, and user infrastructure.
| Author | : STEVEN. HELLER |
| Publisher | : |
| Total Pages | : 288 |
| Release | : 2018 |
| Genre | : |
| ISBN | : |
| Author | : Joan Moscovitch Webb |
| Publisher | : Hayden Books |
| Total Pages | : 260 |
| Release | : 1985-01-01 |
| Genre | : IBM microcomputers |
| ISBN | : 9780810463806 |
| Author | : Dr. Alfio Gliozzo |
| Publisher | : IBM Redbooks |
| Total Pages | : 130 |
| Release | : 2017-06-23 |
| Genre | : Computers |
| ISBN | : 073844264X |
The Building Cognitive Applications with IBM Watson Services series is a seven-volume collection that introduces IBM® WatsonTM cognitive computing services. The series includes an overview of specific IBM Watson® services with their associated architectures and simple code examples. Each volume describes how you can use and implement these services in your applications through practical use cases. The series includes the following volumes: Volume 1 Getting Started, SG24-8387 Volume 2 Conversation, SG24-8394 Volume 3 Visual Recognition, SG24-8393 Volume 4 Natural Language Classifier, SG24-8391 Volume 5 Language Translator, SG24-8392 Volume 6 Speech to Text and Text to Speech, SG24-8388 Volume 7 Natural Language Understanding, SG24-8398 Whether you are a beginner or an experienced developer, this collection provides the information you need to start your research on Watson services. If your goal is to become more familiar with Watson in relation to your current environment, or if you are evaluating cognitive computing, this collection can serve as a powerful learning tool. This IBM Redbooks® publication, Volume 1, introduces cognitive computing, its motivating factors, history, and basic concepts. This volume describes the industry landscape for cognitive computing and introduces Watson, the cognitive computing offering from IBM. It also describes the nature of the question-answering (QA) challenge that is represented by the Jeopardy! quiz game and it provides a high-level overview of the QA system architecture (DeepQA), developed for Watson to play the game. This volume charts the evolution of the Watson Developer Cloud, from the initial DeepQA implementation. This book also introduces the concept of domain adaptation and the processes that must be followed to adapt the various Watson services to specific domains.
| Author | : Michael Friendly |
| Publisher | : Psychology Press |
| Total Pages | : 676 |
| Release | : 2014-01-02 |
| Genre | : Psychology |
| ISBN | : 1317760433 |
Advanced Logo shows how LOGO can be used as a vehicle to promote problem solving skills among secondary students, college students, and instructors. The book demonstrates the wide range of educational domains that can be explored through LOGO including generative grammars, physical laws of motion and mechanics, artificial intelligence, robotics, and calculus.
