Artificial Intelligence for Pragmatic Business Solutions (Udemy.com)

Bring AI into your life with real-world projects in Python: Smart business innovations and solutions with AI!

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Created by: Packt Publishing

Produced in 2021

What you will learn

Discover an exciting world of Neural Networks hands-on by building a model that predicts prices of houses in the Boston area. This will give you a great introduction to regression problems and Deep Learning in general.
Create your own model that can recognize objects on a raw image with superhuman accuracy. Here you will learn how to build a state-of-the-art model for image recognition tasks.
Build an Artificial Intelligence agent that solves Atari games in front of you! Learn how Alpha-Go has beaten the best Go player in the world.
Understand AI and different areas of application in the business to manage workflow, optimize operations & predict trends
Create machine-learning models using supervised and unsupervised machine learning techniques
Build smart systems to analyze data for enhanced customer experience
Optimize machine learning models for better performance and accuracy. Design intelligent agents to solve real-world p

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Course Description

Considered the Holy Grail of automation, data analysis, and robotics, Artificial Intelligence has taken the world by storm as a major field of research and development.
Artificial Intelligence is one of the hottest fields in computer science right now and has taken the world by storm as a major field of research and development. Python has surfaced as a dominant language in AI/ML programming because of its simplicity and flexibility, as well as its great support for open source libraries such as Scikit-learn, Keras, spaCy and TensorFlow.
This comprehensive 3-in-1 course is designed to explore the fascinating world of intelligent applications with Artificial Intelligence using the Python programming language. To begin with, you'll create your own model that is able to recognize objects on a raw image with accuracy. You'll also understand AI and different areas of application in the business to manage workflow, optimize operations & predict trends. Finally, you'll use not only the SpaCy and textacy libraries for NLP but also Deep Reinforcement Learning to build an AI that plays arcade games.
Towards the end of this Course, you'll explore the foundations of AI in less than 3 hours. Drive your business with faster, smarter solutions and services using the power of Artificial Intelligence.
Contents and Overview
This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.
The first course, Artificial Intelligence in 3 Hours, covers exploring the foundations of AI in less than 3 hours. In this course, you will progress to advanced AI techniques and concepts, and work on real-life datasets on how training works, model evaluation and how to process their first dataset in Supervised and Unsupervised Learning. You will be introduced to neural networks, Machine Learning, and Deep Learning. You will understand the concept of Artificial Intelligence and how it is applicable in the enterprise context. You will then cover the basics of machine learning relate how Deep Learning and AI fits with them. Finally, you will see understand, Deep Reinforcement Learning and will be able to implement AI in your applications.
The second course, Hands-On Artificial Intelligence for Small Businesses, covers smart business innovations and solutions with AI. This course will teach you to approach AI from a leader's perspective using practical, data-driven methods to identify and quantify business opportunities. You will learn to use several varieties of machine learning techniques, improving the capability of your business to deliver better and faster solutions to its customers and clients. By the end of the course, you will have the skills to improve and innovate the services of any business using the power of AI.
The third course, Advanced Artificial Intelligence Projects with Python, covers intelligent applications projects with Artificial Intelligence using the Python programming language. This video course is built for those with a basic understanding of artificial intelligence, introducing them to advanced artificial intelligence projects as they go ahead. The first project introduces natural language processing including part-of-speech tagging and named entity extraction. Wikipedia articles are used to demonstrate the extraction of keywords, and the Enron email archive is mined for mentions and relationships of people, places, and organizations. The spaCy library is used. The next project introduces genetic algorithms. The DEAP library is used. A music data set is used in a genetic algorithm that generates a music playlist satisfying multiple criteria such as song similarity and playlist length. The last project introduces reinforcement learning and deep reinforcement learning. The OpenAI Gym platform and Q-learning algorithm are used to build a game-playing AI.
By the end of this training program, you'll get hands-on experience with Python recipes and build artificial intelligence applications with different Artificial Intelligence techniques and neural networks.
About the Authors

Luka Anicin is a passionate and experienced Artificial Intelligence Engineer and he loves to share knowledge with others! In his career, he had worked on many different and exciting projects where he had an opportunity to apply some of currently most advanced AI algorithms. Some project that Luka has in his portfolio: Electricity grid optimization for multiple countries, OCR for car chassis numbers, deploying chatbots for multiple customers, object detection pipeline for image search system, etc. He is putting his knowledge and experience into one, to create courses for people interested in Data Science.
Sam Saarinen is an artificial intelligence researcher with a graduate degree from Brown University. He also has a passion for teaching and plans to use AI to improve education worldwide. When he's not making video games, freestyle rapping, or telling bad jokes and even when he is he enjoys spending time with his wife.
Joshua Eckroth is Assistant Professor of Computer Science at Stetson University, where he teaches Big Data Mining and Analytics, Artificial Intelligence (AI), and Software Engineering. Dr. Eckroth joined the Math and Computer Science Department at Stetson University in Fall 2014. He earned his Ph.D. from Ohio State University in the areas of AI and cognitive science, focusing on abductive reasoning and metareasoning. He is an active researcher with numerous refereed publications in the fields of artificial intelligence and computer science education. Dr. Eckroth also serves as Chief Architect at i2k Connect, LLC., whose mission is to revolutionize the ability of companies to find, filter, and analyze data in documents by extracting essential information from data clutter. In addition, Dr. Eckrothis co-editor of AITopics, the Internet's largest collection of information about the research, the people, and the applications of Artificial Intelligence.

Who this course is for:

Python Developers, Analyst, CTOs or Data Scientist who wants to transit their career to AI (interested in leveraging the power of AI for business,) as well as build advanced AI applications using powerful and popular Python deep learning libraries that help to interact intelligently with the world around.

Time: 9.5h

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Packt Publishing

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Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.
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