Download Udemy – Artificial Intelligence and Machine Learning: Complete Guide 2023-9

Artificial Intelligence and Machine Learning: Complete Guide


Artificial Intelligence and Machine Learning: Complete Guide. Artificial Intelligence and Machine Learning Course: The Complete Guide. The fields of artificial intelligence and machine learning are considered the most relevant fields 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 increasing in different parts of the world, and the trend is that professionals in this field will be even more in demand. In fact, some studies show that knowledge in this field will soon become a prerequisite for IT professionals. To guide you in this field, this course provides theoretical and practical insight into the latest artificial intelligence techniques. This course is considered comprehensive as it covers the basics to the most advanced techniques. By the end, you’ll have all the tools you need to develop usable AI solutions for everyday business problems. The content is divided into seven sections: Search Algorithms, Optimization Algorithms, Fuzzy Logic, Machine Learning, Neural Networks and Deep Learning, Natural Language Processing, and Computer Vision. You will implement the step. Below are some of the projects/topics that will be covered:

  • Finding Optimal Routes in City Maps Using Greedy Search and A* (Star) Search Algorithms
  • Choosing the cheapest plane ticket and maximizing profit using sub-hill climbing algorithms, simulated annealing and genetic algorithm
  • Predicting the tip you will give to a restaurant using fuzzy logic
  • Classification using algorithms such as Naïve Bayes, decision trees, rules, k-NN, logistic regression and neural networks.
  • Housing price prediction using linear regression
  • Banking data clustering using k-means algorithm
  • Generation of association rules with Apriori algorithm
  • Data preprocessing, dimensionality reduction, and outlier detection in databases
  • Stock price forecasting using time series analysis
  • Data visualization and exploration in the context of the COVID-19 disease database
  • Construction of reinforcement learning agent for taxi control for passenger transportation
  • Classification of cat and dog images using convolutional neural networks
  • Classification of Homer and Bart images from the Simpsons cartoon using convolutional neural networks
  • POS tagging, lexicalization, stemming, word cloud, and named entity recognition using natural language processing techniques.
  • Implementation of a sentiment classifier in the context of Twitter dataset
  • Recognition and recognition of faces in images
  • Tracking objects in videos
  • Producing images that do not exist in the real world using advanced Computer Vision techniques

Each type of problem requires different techniques to solve itself, so by covering all areas of AI, you’ll know which techniques to use in different scenarios! During the course, we will use Python programming language and orange graphic tool. If you are not familiar with Python, you will have access to more than 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.

What you will learn in Artificial Intelligence and Machine Learning: Complete Guide

  • Theoretical and practical basics of the main artificial intelligence algorithms

  • Implementation of artificial intelligence algorithms from scratch using predefined libraries

  • Learn intuition and practice about machine learning algorithms for classification, regression, association rules, and clustering.

  • Machine learning without knowing a single line of code

  • Use orange visual tools to create, analyze and test algorithms

  • Use the 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 route between cities

  • Implementation of optimization algorithms for minimization and maximization problems

  • Using fuzzy logic, implement an artificial intelligence to predict the amount of tips in a restaurant

  • Use data mining techniques applied to the COVID-19 disease database

  • Creating a reinforcement learning agent to simulate a taxi that needs to learn how to pick up and drop off passengers.

  • Implementation of artificial neural networks and convolutional neural networks to classify the images of Homer and Bart characters from the Simpsons cartoon.

  • Learn natural language processing techniques and create an emotion taxonomy

  • Recognition and recognition of faces using computer vision techniques

  • Tracking objects in video using computer vision

  • Use artificial intelligence to produce new images that do not exist in the real world

This course is suitable for people who

  • People who are interested in starting their studies in artificial intelligence, machine learning, data science or deep learning
  • People who want to study artificial intelligence do not know where to start
  • Undergraduate students studying topics related to artificial intelligence
  • Anyone interested in artificial intelligence
  • Entrepreneurs who want to use machine learning in business projects
  • Entrepreneurs who want to create effective solutions to real problems in their companies

Specifications of Artificial Intelligence and Machine Learning: Complete Guide

  • Publisher: Udemy
  • teacher: Jones Granatyr
  • Training level: beginner to advanced
  • Training duration: 22 hours and 19 minutes
  • Number of courses: 189

Course topics Artificial Intelligence and Machine Learning: Complete Guide

Artificial Intelligence and Machine Learning: Complete Guide

Prerequisites of Artificial Intelligence and Machine Learning: Complete Guide

  • 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

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Artificial Intelligence and Machine Learning: Complete Guide

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