Get yourself trained on Artificial Intelligence Projects with this Online Training Artificial Intelligence Projects with Python-HandsOn: 2-in-1.
Online Training Artificial Intelligence Projects with Python-HandsOn: 2-in-1
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. If you’re a Python developer who wants to take first steps in the world of artificial intelligent solutions using easy-to-follow projects, then go for this learning path. This comprehensive 2-in-1 course is designed to teach you the fundamentals of deep learning and use them to build intelligent systems. You will solve real-world problems such as face detection, handwriting recognition, and more. You will also get an exposure to hands-on projects that will help you explore the world of artificial intelligence with Python. You will get well-versed with AI concepts that gets you up and running with AI in no time. This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Python Artificial Intelligence Projects for Beginners, covers Hands-on Python recipes that implement practical examples to help you build artificial intelligence applications with eight realistic projects. You will start with the first project which covers decision trees for classifying data using Scikit-learn libraries. You will then build a classifier using random forests.You will also learn about text processing techniques and practice with bag-of-words and word2vec models. The second course, Advanced Artificial Intelligence Projects with Python, covers intelligent application projects with artificial intelligence using the Python programming language. The very first project introduces you to natural language processing including part-of-speech tagging and named entity extraction. The next project introduces genetic algorithms wherein DEAP library is used. In this project, 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 wherein you will use OpenAI Gym platform and Q-learning algorithm to build a game-playing AI. By the end of this Learning Path, you will be confident to build your own AI projects with Python, with a useful blend of ideas to sharpen your skills in artificial intelligence. Meet Your Expert(s): We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth: Joshua Eckroth is an 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 PhD 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. Eckroth is co-editor of AITopics, the Internet’s largest collection of information about the research, the people, and the applications of artificial intelligence.
Udemy helps organizations of all kinds prepare for the ever-evolving future of work. Our curated collection of top-rated business and technical courses gives companies, governments, and nonprofits the power to develop in-house expertise and satisfy employees’ hunger for learning and development.
Learn on your schedule with Udemy
Investing in yourself through Learning
As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.