All in One Offer! | Access Unlimited Courses in any category starting at just $29. Offer Ends in:

Browse Library

  • Business Solutions
  • Become an Instructor
  • 0
    Shopping Cart

    Your Cart is empty. Keep shopping to find a course!

    Browse Courses

Machine Learning

Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so.

Students Learning : 52614
Filter
Language
Ratings
Views
Level
Done
Explore Machine Learning Courses

javascript-course-for-beginner-to-expert-data-visualization

2024 Master Data Science 5-in-1 Projects Data Interview Show...

By : Temotec Learning Academy

Unleash the Power of Data: EDA, Sentiment Analysis, Predictive Modeling, Time Series ...

4.3 84

27 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Python For Linear Regression Analysis...

By : Zeeshan Ahmad

Linear Regression - Theory, Intuition, Mathematics and Implementation in Python...

4.4 121

6:43:50 hrs   41 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Python for Machine Learning & Deep Learning In One Semester ...

By : Zeeshan Ahmad

Practical Oriented explanations of Machine Learning and Deep Learning Models With mor...

4.8 158

306 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

2023 Data Science: Python for Data Analysis Full Bootcamp...

By : Ahmed Ibrahim

Learn and build your Python Programming skills from the ground up in addition to Pyth...

4.5 176

6:9:56 hrs   74 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Machine Learning with Python Basics (For Beginners)...

By : Mohamed Gamal

Learn the Basics of Machine Learning with Python (First Step For Beginners)...

4 426

1:46:17 hrs   50 lectures Beginner Level   

javascript-course-for-beginner-to-expert-data-visualization

Introduction to Machine Learning in PHP...

By : Amir Kamizi

Learn to Build Different Machine Learning Models Easily...

4.5 148

15 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Applied Time Series Analysis and Forecasting in Python...

By : Akhil Vydyula

Time Series Analysis in Python: Theory, Modeling: AR to SARIMAX, Vector Models, GARCH...

3.9 142

11 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Python for data Analysis...

By : irfan Azmat

Hindi...

4 573

14 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Learn Machine Learning...

By : Skillcart E-Learning

Learn to create Machine Learning Algorithms in Python and R from two Data Science exp...

4.4 275

1:10:59 hrs   14 lectures All Level   

javascript-course-for-beginner-to-expert-data-visualization

Data Science With Python...

By : Skillcart E-Learning

All about Data Science!...

4.3 77

1:18:3 hrs   18 lectures All Level   

< 123
  • What is Machine Learning (ML)?

    Machine Learning is a branch of artificial intelligence that focuses on developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. ML allows systems to improve their performance over time based on experience.

  • How does Machine Learning work?

    Machine Learning works by training models on labeled data, allowing the algorithm to learn patterns and relationships. These trained models can then make predictions or decisions when presented with new, unseen data. The process involves training, testing, and iterating to improve the model's accuracy.

  • What are the types of Machine Learning?

    Types of ML include:
    Supervised Learning: Models learn from labeled data with input-output pairs.
    Unsupervised Learning: Models discover patterns and relationships in unlabeled data.
    Reinforcement Learning: Agents learn through interaction with an environment, receiving rewards or penalties based on actions.
    Semi-Supervised Learning and Self-Supervised Learning: Hybrid approaches using both labeled and unlabeled data.

  • What are common applications of Machine Learning?

    ML is used in various applications, including:
    Image and speech recognition
    Natural language processing
    Recommendation systems
    Fraud detection
    Predictive analytics
    Autonomous vehicles
    Healthcare diagnostics

  • How does Machine Learning use algorithms and models?

    Machine Learning algorithms process data and learn patterns to create models. These models, based on learned parameters, can then make predictions or decisions when presented with new data. Common algorithms include decision trees, neural networks, support vector machines, and clustering algorithms.

Students learning on Learnfly works with Fortune 500 companies around the globe.

Sign Up & Start Learning
By signing up, you agree to our Terms of Use and Privacy Policy
Reset Password
Enter your email address and we'll send you a link to reset your password.