Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x, Edition 2
About this ebook
- Completely updated and revised to Python 3.x
- New chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineering
- Learn more about deep learning algorithms, machine learning data pipelines, and chatbots
- Understand what artificial intelligence, machine learning, and data science are
- Explore the most common artificial intelligence use cases
- Learn how to build a machine learning pipeline
- Assimilate the basics of feature selection and feature engineering
- Identify the differences between supervised and unsupervised learning
- Discover the most recent advances and tools offered for AI development in the cloud
- Develop automatic speech recognition systems and chatbots
- Apply AI algorithms to time series data
The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
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About the author
Alberto Artasanchez is a solutions architect with expertise in the cloud, data solutions, and machine learning, with a career spanning over 28 years in various industries. He is an AWS Ambassador and publishes frequently in a variety of cloud and data science publications. He is often tapped as a speaker on topics including data science, big data, and analytics. He has a strong and extensive track record of designing and building end-to-end machine learning platforms at scale. He also has a long track record of leading data engineering teams and mentoring, coaching, and motivating them. He has a great understanding of how technology drives business value and has a passion for creating elegant solutions to complicated problems.
Prateek Joshi is the founder of Plutoshift and a published author of 9 books on Artificial Intelligence. He has been featured on Forbes 30 Under 30, NBC, Bloomberg, CNBC, TechCrunch, and The Business Journals. He has been an invited speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Silicon Valley Deep Learning. Apart from Artificial Intelligence, some of the topics that excite him are number theory, cryptography, and quantum computing. His greater goal is to make Artificial Intelligence accessible to everyone so that it can impact billions of people around the world.
