Machine Learning

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. 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.

algorithms make use of historical data to predict output values and these insights and predictions enable businesses to make smart decisions.

Nowadays, everything is getting computerized with the advancement of technology. If you have some idea in this field, then you can easily build a career out of it.

This is why one should have knowledge of computer science and programming skills for a brighter future. Those who know programming languages have a good future scope and can get better job opportunities.

• Programming Languages like R, Python, C++, and Java.
• Machine Learning Algorithms and Techniques
• Relation between Artificial Intelligence and Machine Learning.
• Artificial Neural Networks and their applications.
• Reinforcement Learning and Deep Learning.

Benefits:

• Continuous Improvement. Machine Learning algorithms are capable of learning from the data we provide.
• Automation for everything.
• Highly error-prone.
• Trends and patterns identification.
• Wide range of applications.

Curriculum:

• Introduction To Machine Learning
• Supervised Learning And Linear Regression
• Classification And Logistic Regression
• Decision Tree And Random Forest
• Naive Bayes And Support Vector Machine
• Unsupervised Learning
• Natural Language Processing And Text Mining
• Introduction To Deep Learning
• Time Series Analysis