• views: 97
• date: 17 September 2023
• posted by: voska89

Do you want to study AI and don't know where to start? You will learn everything you need to know in theory and practice
What you'll learn
The theoretical and practical basis of the main Artificial Intelligence algorithms
Implement Artificial Intelligence algorithms from scratch and using pre-defined libraries
Learn the intuition and practice about machine learning algorithms for classification, regression, association rules, and clustering
Learn Machine Learning without knowing a single line of code
Use Orange visual tool to create, analyze and test algorithms
Use Python programming language to create Artificial Intelligence algorithms
Learn the basics of programming in Python
Use greedy search and A* (A Star) algorithms to find the shortest path between cities
Implement optimization algorithms for minimization and maximization problems
Implement an AI to predict the amount of tip to be given in a restaurant, using fuzzy logic
Use data exploration techniques applied to a COVID-19 disease database
Create a reinforcement learning agent to simulate a taxi that needs to learn how to pick up and drop off passengers
Implement artificial neural networks and convolutional neural networks to classify images of the characters Homer and Bart, from the Simpsons cartoon
Learn natural language processing techniques and create a sentiment classifier
Detect and recognize faces using computer vision techniques
Track objects in video using computer vision
Generate new images that do not exist in the real world using Artificial Intelligence
Requirements
Programming logic
It is not necessary to know Python programming language, as at the end of the course there is an annex with basic classes if this is your first contact with it
Description
The fields of Artificial Intelligence and Machine Learning are considered the most relevant areas in Information Technology. They are responsible for using intelligent algorithms to build software and hardware that simulate human capabilities. The job market for Machine Learning is on the rise in various parts of the world, and the trend is for professionals in this field to be in even higher demand. In fact, some studies suggest that knowledge in this area will soon become a prerequisite for IT professionals.To guide you into this field, this course provides both theoretical and practical insights into the latest Artificial Intelligence techniques. This course is considered comprehensive because it covers everything from the basics to the most advanced techniques. By the end, you will have all the necessary tools to develop Artificial Intelligence solutions applicable to everyday business problems. The content is divided into seven parts: search algorithms, optimization algorithms, fuzzy logic, machine learning, neural networks and deep learning, natural language processing, and computer vision. You will learn the basic intuition of each of these topics and implement practical examples step by step. Below are some of the projects/topics that will be covered:Finding optimal routes on city maps using greedy search and A* (star) search algorithmsSelection of the cheapest airline tickets and profit maximization using the following algorithms: hill climb, simulated annealing, and genetic algorithmsPrediction of the tip you would give to a restaurant using fuzzy logicClassification using algorithms such as Naïve Bayes, decision trees, rules, k-NN, logistic regression, and neural networksPrediction of house prices using linear regressionClustering bank data using k-means algorithmGeneration of association rules with Apriori algorithmData preprocessing, dimensionality reduction, and outlier detection in databasesPrediction of stock prices using time series analysisData visualization and exploration in the context of the COVID-19 disease databaseBuilding of a reinforcement learning agent to control a taxi for passenger transportationClassification of cat and dog images using convolutional neural networksClassification of Homer and Bart images from The Simpsons cartoon using convolutional neural networksPOS tagging, lemmatization, stemming, word cloud, and named entity recognition using natural language processing techniquesImplementation of a sentiment classifier in the context of a Twitter datasetFace detection and recognition in imagesObject tracking in videosGeneration of images that do not exist in the real world using advanced Computer Vision techniquiesEach type of problem requires different techniques for its solution, so by covering all AI areas, you'll know which techniques to use in various scenarios! Throughout the course, we will use the Python programming language and the graphical tool Orange. If you are not familiar with Python, you will have access to over 5 hours of video exercises covering the basics of this programming language. This course is suitable for your first exposure to Artificial Intelligence, as it covers all the necessary topics in theory and practice. If you are more advanced in this field, you can use this course as a reference to learn new areas and review concepts.
Who this course is for
People interested in starting their studies in Artificial Intelligence, Machine Learning, Data Science or Deep Learning
People who want to study Artificial Intelligence, however, don't know where to start
Undergraduate students studying subjects related to Artificial Intelligence
Anyone interested in Artificial Intelligence
Entrepreneurs who want to apply machine learning to commercial projects
Entrepreneurs who want to create efficient solutions to real problems in their companies
Homepage

https://www.udemy.com/course/artificial-intelligence-and-machine-learning-complete-guide/

   
   
   

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