Created by Yazılım Teknolojileri Akademisi | Last updated 8/2021
Duration: 3h 9m | 10 sections | 25 lectures | Video: 1280×720, 44 KHz | 1.567 GB
Genre: eLearning | Language: English + Sub
Master Artificial Intelligence by Building Machine Learning & Deep Learning Projects
What you’ll learn
You will practice Machine Learning and Deep Learning Algorithms by solving real life problems using latest version of libraries (July 2021)
How to use Machine Learning and Deep learning algorithms in different difficulty level projects using Python
NLP (Natural Language Processing) Implementation using Python
Image Classificiation Implementation using Deep Learning
Well known datasets used in Artificial Intelligence education
Machine Learning Algorithms Implementation using Python
Deep Learning Algorithms Implementation using Python
Artificial Neural Networks Implementation using Python
Requirements
A computer with standard specsBasic Python Programming Language
Description
Welcome,
In this course, we aim to specialize in artificial intelligence by doing Machine Learning and Deep Learning Projects at various levels. Before starting the course, you must have basic Python knowledge. Our aim in this course is to turn real-life problems that seem difficult to do into projects and then solve them using latest versions of artificial intelligence algorithms and Python(3.8). This course was prepared in July 2021.
We will carry out some of our projects using machine learning and some using deep learning algorithms. In this way, you will have a general perspective on artificial intelligence. When you complete the projects in our course, you will get a clear understanding of the basic working principles of Machine Learning software and Deep Learning algorithms and the difference between them.
In our course, we will use well known datasets that are widely used by high level education about Machine Learning. By doing our projects, you will master artificial intelligence concepts as well as learn these famous datasets. After completing the course, you will be able to easily produce solutions to the problems that you may encounter in real life.
Machine learning is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.
Deep learning is a class of machine learning algorithms that uses multiple layers to progressively extract higher-level features from the raw input. For example, in image processing, lower layers may identify edges, while higher layers may identify the concepts relevant to a human such as digits or letters or faces. Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Deep learning is an artificial intelligence function that aims to imitate the human brain’s ability to process data and recognise patterns for learning and making decisions.
Our course consists of 9 artificial intelligence projects:
Project #1: House Price Prediction using Machine Learning
Project #2: HR Salary Calculation using Machine Learning
Project #3: Handwritten Digit Recognition using Multiple Machine Learning Models
Project #4: Advanced Customer Segmentation using Machine Learning
Project #5: IMDB Sentiment Analysis Using NLP (Natural Language Processing)
Project #6: Movie Recommendation System
Project #7: Predicting Diabetes using Artificial Neural Networks (Deep Learning)
Project #8: Image Classification using Deep Learning Algorithms
Project #9: Airline Passenger(Time Series) Prediction using LSTM (Deep Learning)
Each project will be implemented by Python using Jupyter Notebook. Python source codes of each project is included in relevant Udemy course section. You can download source codes for all projects..
Who this course is for:Everyone who is interested in Artifical IntelligenceEveryone who is interested in Machine Learning, Deep Learning and Artificial Neural NetworksEveryone who is interested in NLP
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