Artificial Intelligence: Advanced Machine Learning (Udemy.com)
Learn all the advanced skills you need to perform various real-world machine learning tasks in different environments.
Created by: Eduero Academy
Produced in 2021
What you will learn
- Extract features from categorical variables, text, and images
- Solve real-world problems using machine learning techniques
- Exploit the power of Python to handle data extraction, manipulation, and exploration techniques
- Implement machine learning classification and regression algorithms from scratch in Python
- Dive deep into the world of analytics to predict situations correctly
- Predict the values of continuous variables
- Classify documents and images using logistic regression and support vector machines
- Create ensembles of estimators using bagging and boosting techniques
- Evaluate the performance of machine learning systems in common tasks
Quality Score
Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/
Overall Score : 64 / 100
Course Description
Data science and machine learning are some of the top buzzwords in the technical world today. Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model.
Python is one of the most popular languages used for machine learning and arguably, the best entry point to the fascinating world of machine learning (ML). If you're interested to explore both the programming and machine learning world with python, then go for this course.
In this course, you will work through various examples on advanced algorithms, and focus a bit more on some visualization options. We'll show you how to use random forest to predict what type of insurance a patient has based on their treatment and you will get an overview of how to use random forest/decision tree and examine the model. And then, we'll walk you through the next example on letter recognition, where you will train a program to recognize letters using a support Vector machine, examine the results, and plot a confusion matrix. With the help of various projects included, you will find it intriguing to acquire the mechanics of several important machine learning algorithms they are no more obscure as they thought. You will build systems that classify documents, recognize images, detect ads, and more. You will learn to use scikit-learn's API to extract features from categorical variables, text and images; evaluate model performance, and develop an intuition for how to improve your model's performance.
At the end of this course, you will master all required concepts of machine learning to build efficient models at work to carry out advanced tasks with the practical approach.Who this course is for:
Python is one of the most popular languages used for machine learning and arguably, the best entry point to the fascinating world of machine learning (ML). If you're interested to explore both the programming and machine learning world with python, then go for this course.
In this course, you will work through various examples on advanced algorithms, and focus a bit more on some visualization options. We'll show you how to use random forest to predict what type of insurance a patient has based on their treatment and you will get an overview of how to use random forest/decision tree and examine the model. And then, we'll walk you through the next example on letter recognition, where you will train a program to recognize letters using a support Vector machine, examine the results, and plot a confusion matrix. With the help of various projects included, you will find it intriguing to acquire the mechanics of several important machine learning algorithms they are no more obscure as they thought. You will build systems that classify documents, recognize images, detect ads, and more. You will learn to use scikit-learn's API to extract features from categorical variables, text and images; evaluate model performance, and develop an intuition for how to improve your model's performance.
At the end of this course, you will master all required concepts of machine learning to build efficient models at work to carry out advanced tasks with the practical approach.Who this course is for:
- The course is intended for both professionals and students.
- Anyone who wants to learn advanced machine learning skills
Instructor Details
- 3.2 Rating
6 Reviews
Eduero Academy
Eduero specializes in technical training via on-demand streaming. We seek to inform and inspire independent instructors with knowledge that goes beyond just technical skills. Each course undergoes a rigorous planning, review and an internal quality check phase - to ensure that the teaching is of highest standards available online. At the end of each section, you will be challenged to work through hands-on exercises to demonstrate mastery of the material.
More courses by Eduero Academy
Artificial Intelligence:Deep Learning in Real World Business (2021)
3.9 (17 Reviews)
Provider: Udemy
Time: 3.5h
$11.99
More artificial intelligence courses
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
5.0 (526 Reviews)
- Provider: Coursera
- Time: 15h
Free
Reviews
- Video Duration:
3.5h - Price: 11.99 Track Price 11.99 Track Price
- Provider: Udemy
- Year:
2021 - Language:
English, English [Auto-generated] - Certificate:
Yes
30-Day Money-Back Guarantee
Udemy Coupon Price Tracker
