About This Course
Machine Learning has been a buzzword in recent years, possibly due to the large quantity of data produced by applications, the rise in processing power in recent years, and the development of better algorithms.
Machine Learning is employed in a variety of ways, from automating monotonous chores to providing insightful insights, and companies across the board are attempting to reap the benefits. It’s possible that you’re already using one. For example, a smart home assistant like Google Home or a wearable fitness tracker like Fitbit. However, there are many more examples of machine learning in action.
Prediction: Machine learning may also be used to make predictions in prediction systems. In the case of the loan, the system will need to categories the available data into categories in order to determine the chance of a defect.
Image recognition: Machine learning may also be used to recognize faces in photos. Each individual in a database of numerous persons has their own category.
Speech Recognition: Is the process of converting spoken words into text. It’s utilized in voice searches, among other things. Voice dialing, call routing, and appliance control are all examples of voice user interfaces. It may also be used to enter simple data and create structured documents.
Medical diagnostics: ML has been taught to spot malignant tissues.
Financial industry and trading: Companies employ machine learning in fraud investigations and credit checks in the financial industry and trade.
Lesson No.1 | Machine Learning | Introduction
Lesson No.2 | Machine Learning | Data & its processing
Lesson No.3 | Machine Learning | Data & its processing: Data Preprocessing
Lesson No.4 | Machine Learning | Decision Tree
Lesson No.5 | Machine Learning | Random Tree
Lesson No.6 | Machine Learning | SVM (Support Vector Machine)
Lesson No.7 | Machine Learning | Linear Regression
Lesson No.8 | Machine Learning | Logistic Regression
Lesson No.9 | Machine Learning | Unsupervised Learning
Lesson No.10 | Machine Learning | Difference between Supervised & Unsupervised Machine Learning
Lesson No.11 | Machine Learning | Different Types of Clustering Algorithm
Lesson No.12 | Machine Learning | K-Mean Clustering
Lesson No.13 | Machine Learning | K-Nearest Neighbors
Lesson No.14 | Machine Learning | Reinforcement Learning
Lesson No.15 | Machine Learning | Difference between Reinforcement learning & Supervised learning
Lesson No.16 | Machine Learning | Gan (Generative Adversarial Network)
Lesson No.17 | Machine Learning | Deep learning
Lesson No.18 | Machine Learning | NLP (Natural Language Processing)