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Data Science is rapidly growing to occupy all the industries of the world today.
Medicine and healthcare are two of the most important part of our human lives. Traditionally, medicine solely relied on the discretion advised by the doctors. For example, a doctor would have to suggest suitable treatments based on a patient s symptoms. However, this wasn t always correct and was prone to human errors. However, with the advancements in computers and in particular, Data Science, it is now possible to obtain accurate diagnostic measures.
A groundbreaking study in 2020 reported 90% of the entirety of the world s data has been created within the previous two years. Let that sink in. In just two years, we’ve collected and processed 9x the amount of information than the previous 92,000 years of humankind combined. And it isn t slowing down. It s projected we ve already created 2.7 zettabytes of data, and by 2025, that number will balloon to an astounding 44 zettabytes.
What do we do with all of this data? How do we make it useful to us? What are it’s real–world applications? These questions are the domain of data science.
Every company will say they re doing a form of data science, but what exactly does that mean? The field is growing so rapidly, and revolutionizing so many industries, it’s difficult to fence in its capabilities with a formal definition, but generally data science is devoted to the extraction of clean information from raw data for the formulation of actionable insights.
Specification: Machine Learning Practical:Real world Projects in Healthcare
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6 reviews for Machine Learning Practical:Real world Projects in Healthcare
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| Price | $14.99 |
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| Provider | |
| Duration | 3 hours |
| Year | 2021 |
| Level | Beginner |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$14.99
Kashif Khan –
yes best for beginners
V D –
Model was explained in a nut shell, sometimes it is good to understand basic commands and then jump further.
Ali murtada –
This course is extremely useful. It explains many advanced topics from the field of statistics, data science and machine learning in an easy way.
Supriya chakrabarti –
It is a good course that helps the understanding of data science topics in a pre intermediate level. Python code explanations are really helpful, in the same way, the instructors do the best to provide familiar understanding to those students who have notions of programming.
Addrian harrison –
Basics of the course are great, got a nice overview of the Data Science field and basic Data Science practical skills.
Fatima Yilmaz –
amazingly informative and gives close insights of industry projects.