Assignment from P.
Snr
(A)Data science
the study of data to extract meaningful insights for business. It is a multidisciplinary
approach that combines principles and practices from the fields of mathematics,
statistics, artificial intelligence, and computer engineering to analyze large amounts
of data. This analysis helps data scientists to ask and answer questions like what
happened, why it happened, what will happen, and what can be done with the
results.
(B) Machine learning
Machine learning is the science of training machines to analyze and learn from data
the way humans do. It is one of the methods used in data science projects to gain
automated insights from data. Machine learning engineers specialize in computing,
algorithms, and coding skills specific to machine learning methods. Data scientists
might use machine learning methods as a tool or work closely with other machine
learning engineers to process data.
© Difference between machine learning and data science
Data science
Field that determines the processes, systems, and tools needed to transform data into insights to be applied to
various industries.
Skills needed:
o Statistics
o Data visualizatiom
o Coding skills (Python/R)
o Machine learning
o SQL/NoSQL
o Data wrangling
(Whereas)
Machine learning
Machine learning is part of data science. Its algorithms train on data delivered by data science to "learn."
Skills needed:
o Math, statistics, and probability
o Comfortable working with data
o Programming skills
(D)The various application of machine learning are
Facial recognition. ...
Product recommendations. ...
Email automation and spam filtering. ...
Financial accuracy. ...
Social media optimization. ...
Healthcare advancement. ...
Mobile voice to text and predictive text.
E Importance of Python for data science are
provides all the necessary tools for the 4 steps of problem solving
— data collection and cleaning, data exploration, data modeling
and data visualization
F and C are the same question
