Python Artificial Intelligence Projects for Beginners: Get up and running with Artificial Intelligence using 8 smart and exciting AI applications

  • 162 pages
  • 1789539463
  • Anglais
  • Format Kindle
Python Artificial Intelligence Projects for Beginners: Get up and running with Artificial Intelligence using 8 smart and exciting AI applications

ᘆ Google drive pdf ৫ Python Artificial Intelligence Projects for Beginners: Get up and running with Artificial Intelligence using 8 smart and exciting AI applications ᙫ By Joshua Eckroth ᛣ Build smart applications by implementing real world artificial intelligence projectsKey FeaturesExplore a variety of AI projects with PythonGet well versed with different types of neural networks and popular deep learning algorithmsLeverage popular Python deep learning libraries for your AI projectsBook DescriptionArtificial Intelligence AI is the newest technology that s being employed among varied businesses, industries, and sectors Python Artificial Intelligence Projects for Beginners demonstrates AI projects in Python, covering modern techniques that make up the world of Artificial Intelligence.This book begins with helping you to build your first prediction model using the popular Python library, scikit learn You will understand how to build a classifier using an effective machine learning technique, random forest, and decision trees With exciting projects on predicting bird species, analyzing student performance data, song genre identification, and spam detection, you will learn the fundamentals and various algorithms and techniques that foster the development of these smart applications In the concluding chapters, you will also understand deep learning and neural network mechanisms through these projects with the help of the Keras library.By the end of this book, you will be confident in building your own AI projects with Python and be ready to take on advanced projects as you progressWhat you will learnBuild a prediction model using decision trees and random forestUse neural networks, decision trees, and random forests for classificationDetect YouTube comment spam with a bag of words and random forestsIdentify handwritten mathematical symbols with convolutional neural networksRevise the bird species identifier to use imagesLearn to detect positive and negative sentiment in user reviewsWho this book is forPython Artificial Intelligence Projects for Beginners is for Python developers who want to take their first step into the world of Artificial Intelligence using easy to follow projects Basic working knowledge of Python programming is expected so that you re able to play around with codeTable of ContentsBuilding Your Own Prediction ModelsPrediction with Random ForestsApplication for comment classificationNeural NetworksDeep LearningJoshua 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 PhD from Ohio State University in AI and cognitive science, focusing on abductive reasoning and meta reasoning. 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