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

Recent Advancements in Data
Analysis
Machine learning has changed drastically since its beginning in 1959 with
Arthur Samuel’s checkers playing computer. But it has changed more in the
last two decades than in its entire history, especially with the improvement
of computing power. In the past, machine learning and big data analysis

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used to be very limited. Only larger companies with expensive tech had the
ability to use data to make business decisions.
Now, almost anyone can utilize some amount of data for business or other
purposes with a laptop or home computer. Data is much easier to come by,
and the machines to process it have also become much more accessible.
What used to take expensive computing power can now be done much more
cheaply, and quicker.
The advent of cloud technology has made it easier for smaller businesses
access to large datasets without the need for massive amounts of data
storage. Now machine learning has become a completely different field of
computer science, with people who specialize in machine learning and data
science as its own field.
More and more things are connected nowadays, and the internet continues
to grow larger and larger all the time. This means that access to data is
increasing, but also the sources of data are changing. Even people’s cars
have computers in them, which means that when they drive, they are
creating data which can be interpreted. The vast majority of Americans
carry a cell phone and do internet shopping and use apps for navigation.
People use their phones to control home appliances, which is another
potential source of data. There are Fitbits and smartwatches which allow
people to track data about their health.
The more devices, not just computers, and phones, but devices of all kinds,
are connected, the greater the possibilities in terms of collecting and
studying data. This connection of everything; smartphones, smart cars, etc.
make people nervous that they may be at risk of losing their private data.

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They fear that their privacy at stake and someone is always watching them.
But machine learning and data analytics are making our lives much easier.
Finding the right products is easier, navigation is easier, and finding new
music is easier. This is all thanks to machine learning.