/sci/ - Science & Math

Should I be proud of myself for passing the entrance exam of the data science program?

> many people see AutoML as a way to bring ease-of-use and efficiency to ML, the reality is that for many enterprise applications
>AutoML tools, we might expect that AutoML will replace data scientists
>AutoML does not have the ability to select the data in the first place — you need to figure out what data you
>AutoML is a rapidly-growing field, and for good reason. It enables custom ML models at scale, generating billions of predictions without needing an army of data scientists.

https://towardsdatascience.com/will-automl-be-the-end-of-data-scientists-9af3e63990e0

Learning Data Science – 4 untold truths
1: Learning Data Science is Hard!

Learning data science is not easy.
It will take a lot of work, a lot of energy and a lot of time from you.

2: It’s not “Learning Data Science”, it’s “improving your Data Science skills”

3: Because it’s hard, Learning Data Science is a great investmenta

4: Learning Data Science is not about learning Machine Learning, Deep Learning (or any other data buzzwords)

https://data36.com/learning-data-science/

What makes Data Science Difficult?
1.Hard Problems
2. Large Scale Data
3. Technical Expertise
4. Domain Knowledge

> data science is a highly difficult field that has a steep learning curve. This is one of the main contributing factors behind the lack of professional data scientists.

https://data-flair.training/blogs/is-data-science-difficult/

Why Data Scientists Get Paid So Much

> The average data scientist today earns $123,000 a year, according to Indeed.com.But the operating term here is “today,” since data science has paid increasing dividends since it really burst into business consciousness in 2012.

> It’s not surprising that data scientists get paid so much. After all, they’re extraordinarily hard to find, given the combination of skills necessary to do data science well.

>The survey of 720 senior business leaders found that62% of business leaders said they tend to trust their gut, and 61% said real-world insight tops hard analytics when making decisions.

https://readwrite.com/2014/07/21/data-scientist-income-skills-jobs/

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Essential Data Science Skills
> Statistical analysis
> Machine learning
> Computer science/Programming
> Data storytelling
> Business intuition
> Analytical thinking
>Critical thinking
> Inquisitiveness
>Interpersonal skills
https://www.northeastern.edu/graduate/blog/what-does-a-data-scientist-do/


> “Most Influential Data Science Research Papers for 2018” by ODSC - Open Data Science https://link.medium.com/WA1ElHNSx7

> The Berkeley Institute for Data Science (BIDS) promotes scientific breakthroughs by advancing interdisciplinary, data-driven discovery.
https://vcresearch.berkeley.edu/datascience

> Big Data promises to revolutionise the production of knowledge within and beyond science, by enabling novel, highly efficient ways to plan, conduct, disseminate and assess research.
https://plato.stanford.edu/entries/science-big-data/

>The Committee on Data for Science and Technology (CODATA) defined data science as the methods and technologies used to conduct scientific research through management and utilization of scientific data.
https://dst.gov.in/data-science-research-initiative

>Why Data Science Matters And How It Powers Business Value
https://www.simplilearn.com/why-and-how-data-science-matters-to-business-article

> Here is How Data Science Helps in Saving the World
https://www.jigsawacademy.com/here-is-how-data-science-helps-in-saving-the-world/amp/

Computer science is well known as the hardest math of the 21st century. Many great geniuses came up to invent and modernize the computer into the next level like quantum and artificial intelligence.

Today, the math and science industry is turning to python, HTML, and other math languages. Data scientist explores the new wave of science and math industry that paving into the next generation.