Your Cart is empty. Keep Shopping to find a course!
Browse CoursesMore Learnfly
Business Solution Become an InstructorYour Cart is empty. Keep shopping to find a course!
Browse CoursesMachine 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.
By : Dr. Mohammed Nauman
Real-world, code-oriented learning for programmers to use prob/stats in all of CS, Da...
4.5 545
6:37:37 hrs 32 lectures All Level
By : Manas Dasgupta
Concepts and Projects based learning for aspiring Machine Learning Professionals...
4.3 613
21:25:4 hrs 106 lectures All Level
By : Manas Dasgupta
Apply Data Science using Python, Statistical Techniques, EDA, Numpy, Pandas, Scikit L...
4.3 628
22:52:2 hrs 111 lectures All Level
By : Ashraf Al Madhoun
TinyML is a program for machine learning (ML) and in this course we will help you sta...
4.5 625
2:15:16 hrs 14 lectures All Level
By : Temotec Learning Academy
Unleash the Power of Data: EDA, Sentiment Analysis, Predictive Modeling, Time Series ...
4.3 671
2:51:14 hrs 27 lectures All Level
By : Zeeshan Ahmad
Linear Regression - Theory, Intuition, Mathematics and Implementation in Python...
4.4 650
6:43:50 hrs 41 lectures All Level
By : Zeeshan Ahmad
Practical Oriented explanations of Machine Learning and Deep Learning Models With mor...
4.8 767
21:5:49 hrs 306 lectures All Level
By : Ahmed Ibrahim
Learn and build your Python Programming skills from the ground up in addition to Pyth...
4.5 821
6:9:56 hrs 74 lectures All Level
By : Mohamed Gamal
Learn the Basics of Machine Learning with Python (First Step For Beginners)...
4 982
1:46:17 hrs 50 lectures Beginner Level
By : Amir Kamizi
Learn to Build Different Machine Learning Models Easily...
4.5 711
1:13:12 hrs 15 lectures All Level
Learn more topics in various categories at one place. Explore unlimited courses in other categories and up-skill yourself today.
4.2 770751 Beginner Level
4.1 568668 All Level
4.1 346362 All Level
4.2 100821 All Level
4.6 100564 All Level
4.8 100390 All Level
4.9 99647 All Level
4.8 99615 Beginner Level
4.8 99437 All Level
32 Lectures All Level
14 Lectures All Level
9 Lectures All Level
11 Lectures All Level
106 Lectures All Level
111 Lectures All Level
16 Lectures All Level
37 Lectures All Level
19 Lectures All Level
14 Lectures All Level
27 Lectures All Level
41 Lectures All Level
306 Lectures All Level
96 Lectures All Level
74 Lectures All Level
42 Lectures All Level
9 Lectures All Level
50 Lectures All Level
17 Lectures All Level
7 Lectures All Level
9 Lectures All Level
18 Lectures All Level
15 Lectures All Level
38 Lectures All Level
14 Lectures All Level
12 Lectures All Level
111 Lectures All Level
53 Lectures All Level
35 Lectures All Level
52 Lectures All Level
14 Lectures All Level
20 Lectures All Level
22 Lectures All Level
8 Lectures All Level
13 Lectures All Level
29 Lectures All Level
32 Lectures All Level
13 Lectures All Level
43 Lectures All Level
4 Lectures All Level
22 Lectures All Level
8 Lectures All Level
14 Lectures All Level
18 Lectures All Level
14 Lectures All Level
42 Lectures All Level
32 Lectures All Level
24 Lectures All Level
19 Lectures All Level
32 Lectures All Level
36 Lectures All Level
25 Lectures All Level
19 Lectures All Level
21 Lectures All Level
47 Lectures All Level
31 Lectures All Level
184 Lectures All Level
6 Lectures All Level
9 Lectures All Level
20 Lectures All Level
13 Lectures All Level
11 Lectures All Level
72 Lectures All Level
19 Lectures All Level
18 Lectures All Level
78 Lectures All Level
4 Lectures All Level
112 Lectures All Level
109 Lectures All Level
13 Lectures All Level
14 Lectures All Level
82 Lectures All Level
21 Lectures All Level
88 Lectures All Level
45 Lectures All Level
5 Lectures All Level
16 Lectures All Level
13 Lectures All Level
124 Lectures All Level
62 Lectures All Level
30 Lectures All Level
14 Lectures All Level
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.
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.
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.
ML is used in various applications, including:
Image and speech recognition
Natural language processing
Recommendation systems
Fraud detection
Predictive analytics
Autonomous vehicles
Healthcare diagnostics
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.