Machine Learning: Building a Movie Recommendation System Using Data Science

What is Data Science: Machine Learning

In today’s world of automation, cloud computing, algorithms, artificial intelligence, and big data, few subjects are as relevant as data science and machine learning. Their recent popularity lies not only in their applicability to real-world questions, but also in their natural blend of many different disciplines, including mathematics, statistics, computer science, engineering, science, and finance.

For someone starting out in these subjects, the sheer number of computational techniques and mathematical ideas can seem overwhelming. Some may simply be content with learning how to use ready-made recipes to apply to practical situations.

Are you interested in delving into large amounts of data?

Perhaps you want to advance your knowledge to help solve some of today’s societal problems.

With a specialization in machine learning, you will learn how to perform advanced analytics and extract knowledge from large amounts of data.

Explains machine learning and its application in building a movie recommendation system, with insights from data science and Harvard University.

Machine Learning: Building a Movie Recommendation System Using Data Science

Data Science: Machine Learning – Building a Movie Recommendation System from Harvard University

Data science and machine learning are two of the most important modern technical fields that are disrupting various industries. In this article, we will discuss the concept of machine learning and the steps to build a movie recommendation system, based on scientific foundations from Harvard University.

What will a data science program with a specialization in machine learning provide?

This program in data science with a specialization in machine learning will provide you with the knowledge, tools, and skills necessary to succeed in a wide range of different positions that involve analyzing large amounts of data.

This specialization provides the general skills needed by a data scientist, in addition to advanced skills in machine learning.

What topics will a data science program with machine learning cover?

The basics of machine learning.
How to perform cross-validation to avoid overtraining.
Several common machine learning algorithms.
How to build a recommendation system.
What is regularization and why it is useful.
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

How do the largest companies predict what movie viewers will like?

Companies like Netflix, Amazon, and Spotify collect user data to generate predictions and recommendations relevant to what their users will enjoy in the future.

To analyze data generated by large-scale scientific experiments, advanced machine learning algorithms and data engineering platforms are needed.

Many organizations also seek to collect and integrate data from several different types of sensors (air quality, sound, water distribution, etc.).

For this, one profession plays a pivotal role in transforming information into insights: the data scientist.

Enroll in the program to learn more about popular machine learning algorithms, key component analysis, and organization by building a dynamic recommendation system.