How Machine Learning is important for Data Science?

How Machine Learning is important for Data Science?

Machine learning is an integral part of data science and is used to solve many predictive analytics business problems. Any data science problem wherein historical data is used to predict future occurrences requires knowledge and implementation of machine learning algorithms. For example – creating a customized recommendation engine for e-commerce portals, video-streaming businesses such as Netflix, YouTube, etc. all uses machine learning algorithms as these services are customized depending on the utility and preferences of the users.
​
Furthermore, machine learning is also extremely important in implementing automation projects as well in data science wherein the machines or systems are trained to self-act to impulses.

Happy Learning :)

    • Related Articles

    • What is after Data Science?

      The career roadway after Data Science depends largely on the interests of the individual. Post becoming an expert in the field of Data Science if the individual yearns to seek a career in management & business strategy; then he may shift roles and ...

    • Which is better in terms of salary and long term growth in data science and machine learning.

      Data science is a more generic stream of study which encompasses data analysis, machine learning, data visualization, statistical modeling, data engineering, business intelligence, etc. Therefore, from the perspective of opportunities, data science ...

    • How are Big Data and Machine Learning related?

      Big Data and Machine Learning are not two comparable concepts; rather they are complementary concepts that work together to define and implement Machine Learning systems. Big Data refers to the large chunk of unstructured data which is collected from ...

    • Would it be better to first learn Data Analysis or Data Science.

      Data analysis (or a data analyst) and Data Science (or a data scientist) are two different facets of analytics with different objectives, roles & responsibilities. Hence, it is important for the student to first understand the key requirement of each ...

    • What is a data science pipeline?

      Data Science pipeline depends on the particular business or industry as well wherein data science projects are operated. While in some cases, the entire set of steps starting data collection comes under the purview of the data science pipeline; in ...