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Author: Harris Elahi

Company: Datasciencecareer

Region: United Kingdom

Website: www.datasciencecareer.co.uk

Author Comment / Biography:
We are currently building an online careers portal - www.datasciencecareer.co.uk 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-mail list regarding job opportunities and interesting updates please e-mail us at: info@datasciencecareer.co.uk

Displaying 1 to 10 of 38 articles Next >
Pages: 1 2 3 4
 Articles by Harris Elahi 
1. 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...

2. 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 ...

3. 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...

4. 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...

5. 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...

6. 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...

7. 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...

8. 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...

9. What qualities separate great data scientists from good data scientists?
October 20, 2019

Great data scientists ask the right questions.

Essentially data science is all about collecting data, and making sense of it. Useful analysis starts with insight into which questions will yield interesting and useful answers. Everything else - what data to collect, what models & statistical ...

10. Top companies in data science..
October 20, 2019

Although it is hard to define "top" companies, below is a list of 25 great companies that incorporate data science...

Dataiku Looker SAP Google Salesforce Microsoft MongoDB Redis Labs Cloudera Databricks Snowflake Computing RapidMiner Couchbase Dell Technologies Amazon Web S...

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Pages: 1 2 3 4



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