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Bring AI into your life with real-world projects in Python: Smart business innovations and solutions with AI!
An excellent training about Data Science
Artificial Intelligence for Pragmatic Business Solutions
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, youll create your own model that is able to recognize objects on a raw image with accuracy. Youll also understand AI and different areas of application in the business to manage workflow, optimize operations & predict trends. Finally, youll 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, youll 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 OverviewThis 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 leaders 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, youll get hands-on experience with Python recipes and build artificial intelligence applications with different Artificial Intelligence techniques and neural networks. About the AuthorsLuka 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 hes 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 Scienc
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