Machine learning is a branch of computer science that uses algorithms to imitate the way in which humans learn. It uses statistical methods to train algorithms and make predictions. The accuracy of these predictions improves over time.
As the amount of data increases and big data continues to grow, the demand for data scientists increases along with. Machine learning is one of the most in-demand Data Science skills, which allows data scientists to increase the accuracy of predictions of software applications, without explicitly programming them to do so.
These algorithms make use of historical data to predict output values and these insights and predictions enable businesses to make smart decisions.
Machine Learning Course Syllabus:
To understand the Machine Learning Course Syllabus for Specialization Certifications, let’s look at the syllabus of the machine learning course offered by MAXPRO.
- Module 1 – Introduction to Machine Learning
- Module 2 – Supervised Learning and Linear Regression
- Module 3 – Classification and Logistic Regression
- Module 4 – Decision Tree and Random Forest
- Module 5 – Naïve Bayes and Support Vector Machine
- Module 6 – Unsupervised Learning
- Module 7 – Natural Language Processing and Text Mining
- Module 8 – Introduction to Deep Learning
- Module 9 – Time Series Analysis
