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| Articles by Harris Elahi |
1. Why is Python a language of choice for data scientists?
December 17, 2019
Python is a fairly complete language with relatively concise syntax. If you were writing out an algorithm in pseudo code on a whiteboard, you could probably turn your text into compiling Python with very little work. Its string manipulation syntax is concise and natural (which comes up a lot in my e...
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2. Can a position as a data analyst lead to a position as a data scientist?
December 17, 2019
Yes. It definitely can..
If you’re working with data every day, you have the opportunity to incorporate anything that a data scientist does. This means going a bit further and doing things in addition to your day-to-day duties.
As a data analyst, it would be assumed that you are co...
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3. How can I become a data scientist without paying?
November 03, 2019
datasciencejobsuk for those who are aspiring to work within big data or who already work within the field and are looking for careers specifically within the areas of data science, machine learning, deep learning, data analytics, big data and statistics. If you would like to be added to our e-ma...
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4. Where do I start if I need to learn data science from scratch....?
November 03, 2019
Well Data Science like any other field is learnt best when:
i) You enjoy the learning process ii) You actually apply the theories and come out with something meaningful
Thus, it is always beneficial if you start by taking up a project which seeks to answer a few questions you might ...
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5. Which is better to study, data science or big data?
November 01, 2019
This would depend on whether you like creating or analyzing?
It usually goes like this:
i) The problem is identified ii) The big data set is identified that can solve problem iii) The engineers build a system to collect, store, and allow others to retrieve and analyze data iv) The...
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6. What is the difference between data science and big data..?
November 01, 2019
The basic definitions are as below:
Data Science: Dealing with unstructured and structured data. Data Science is a field that comprises of everything that related to data cleansing, preparation, and analysis.
Big Data: Big Data refers to huge volumes of data that cannot be processed...
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7. After learning Python how does one learn machine learning/AI?
October 26, 2019
Well the good thing is that one doesn't need to possess a PhD-level understanding of the theoretical aspects of machine learning in order to practice. Hence, the best way to get started using Python for machine learning is to complete a small project. It would be highly recommended for one t...
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8. Considering Machine Learning or Data Science, which has a better future.
October 25, 2019
Actually, since many data scientists work in Machine Learning, it can be argued that their futures are closely tied.
Overall, being an machine learning engineer or data scientist with a very good grasp of machine learning are both good bets.
For Your Information: We are currently bui...
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9. Is Machine Learning a subset of data science?
October 25, 2019
To put it in a simple way, machine learning is a discipline or a field that studies algorithms that can learn from data and with that knowledge are able to make a prediction.
It is one of the TOOLS of data science and it addresses quite a number of data science tasks.
It is not actua...
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10. What statistics should one know to do data science..?
October 24, 2019
Essentially, one should start with the basics.
Hopefully you have a mathematical background.
Even if you don't it isn't really a big deal: you won't understand all the concepts at a deep level but you can at least gain a practical understanding of them.
Try to find an introdu...
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Author: Harris Elahi
