Home Big-data-and-business-intelligence Learning Python Artificial Intelligence by Example [Video]

Learning Python Artificial Intelligence by Example [Video]

By Mark Strefford
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Mobile App with offline access
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50+ new titles added every month on new and emerging tech
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50+ new titles added every month on new and emerging tech
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Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
What do you get with a Packt Subscription?
This book & 6500+ ebooks & video courses on 1000+ technologies
60+ curated reading lists for various learning paths
50+ new titles added every month on new and emerging tech
Early Access to eBooks as they are being written
Personalised content suggestions
Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
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Download this book in EPUB and PDF formats
Access this title in our online reader
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What do you get with video?
Stream this video
Access this title in our online reader
DRM FREE - Watch whenever, wherever and however you want
Online reader with customised display settings for better learning experience
What do you get with Audiobook?
Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
What do you get with Exam Trainer?
Flashcards, Mock exams, Exam Tips, Practice Questions
Access these resources with our interactive certification platform
Mobile compatible-Practice whenever, wherever, however you want
About this video

Python has surfaced as a dominant language in AI/ML programming because of its simplicity and flexibility. It has great support for open-source libraries such as Scikit-learn and TensorFlow.

Built for rookie AI enthusiasts across four realistic projects, this course covers modern techniques that make up the world of Artificial Intelligence. Dive into your first natural language processing project, build a facial recognition system, and build your very own self driving steering code. You will explore the use of neural networks and deep learning, and how you can train and test sets for feature extraction. You'll be introduced to the Keras deep learning library, which you will use to predict taxi journey times, and to the use of natural language processing to find the most relevant articles in Wikipedia.

By the end of this video course, you will be confident enough to build your own AI projects with Python, and ready to take on more advanced content as you move on.

The code bundle for this video course is available at - https://github.com/PacktPublishing/Learning-Python-Artificial-Intelligence-by-Example

Style and Approach

Built for amateur AI enthusiasts and using realistic examples, this course covers modern techniques that make up the world of Artificial Intelligence.

Publication date:
November 2018
Publisher
Packt
Duration
1 hour 58 minutes
ISBN
9781788839532

About the Author
  • Mark Strefford

    Mark Strefford is a technologist focusing on delivering value through customer-focused ML, AI, and digital technologies. He has a strong track record in designing, developing and deploying customer-facing enterprise-grade services and platforms. He excels in leading teams that build these systems, working with senior and board-level stakeholders to deliver the business vision.
    He is a serious techie who also works closely with senior management and board-level stakeholders, acting as an intermediary between business visionaries, technical teams, and external vendors. He has led multiple successful digital/technical transformations in the private and public sectors, and with international delivery teams across Europe, India, and the USA. He has an innovative approach to technology delivery, looking at upcoming technology trends to determine their suitability for business needs. He frequently performs multiple roles over the lifespan of a project, equally adept at running workshops, developing proofs of concept, architecting a production solution through to leading the technology teams. He is fully experienced in leading agile delivery programs, including mentoring teams and stakeholders moving from more traditional development approaches to agile. He fully embraces a risk-based, test-driven agile delivery methodology, looking to adopt continuous delivery where applicable for the organization.

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Learning Python Artificial Intelligence by Example [Video]
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