Machine Learning: 2 Books in 1: Machine Learning for Beginners, Machine Learning Mathematics. An Introduction Guide to Understand Data Science Through the Business Application

Importance of Machine Learning
The seemingly unstoppable interest in ML stems from the same variables
that have made “data mining” and “Bayesian analysis” more common than
ever before. The underlying factors contributing to this popularity are
increasing quantities and data varieties, cheaper and more effective
computational processing, and inexpensive data storage. To get a sense of
how significant machine learning is in our everyday lives, it is simpler to
state what part of our cutting edge way of life has not been touched by it.
Each aspect of human life is being impacted by the "smart machines"
intended to expand human capacities and improve efficiencies. Artificial
Intelligence and machine learning technology is the focal precept of the
“Fourth Industrial Revolution” that could question our thoughts regarding
being "human".
All of these factors imply that models that can analyze larger, more
complicated data while delivering highly accurate results in a short time can
be produced rapidly and automatically on a much larger scale. Companies
can easily identify potential growth opportunities or avoid unknown hazards
by constructing desired machine learning models that meet their business
requirements. Data runs through the vein of every company. Increasingly,
data-driven strategies create a distinction between winning or losing the
competition. Machine learning offers the magic of unlocking the
importance of business and customer data to lead to actionable measures
and decisions that can skyrocket a company’s business and market share.

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Machine learning has demonstrated over the recent years that many distinct
tasks can be automated which were once deemed as activities only people
could carry out, such as image recognition, text processing, and gaming. In
2014, Machine Learning and AI professionals believed the board game
"Go" would take at least ten years for the machine to defeat its greatest
player in the world. But they were proved mistaken by "Google's
DeepMind", which showed that machines are capable of learning which
moves to take into account even in such a complicated game as "Go". In the
world of gaming, machines have seen much more innovations such as
"Dota Bot" from the "OpenAI" team. Machine learning is bound to have
enormous economic and social impacts on our day to day lives. Complete
set of work activities and the entire industrial spectrum could potentially be
automated and the labor market will be transformed forever.
“Machine learning is a method of data analysis that automates analytical model building. It is a
branch of artificial intelligence based on the idea that systems can learn from data, identify patterns
and make decisions with minimal human intervention.”
- SAS