Analytics – Page 8 – DECISION STATS

Internships are like magic for budding data scientists

https://www.linkedin.com/feed/update/urn:li:activity:6426321920102367232

Internships are the magic that a student to convert to data scientist. Not everyone can solve Kaggle contests while still in engineering or other schools. Not everyone has the money to pay for private institute’s training which basically teach R, Python or SAS but not analytical thinking when confronted with a messy real life dataset.

A project in such training is worth much less than the experience of internships.

Companies who have existing data science teams should also try and give internships to create a steadier supply of data scientists for their operations besides building a bigger brand in data science recruitment.

Meetups and LinkedIn groups( Facebook groups) are good places to offer internships and students should make attending Meetups as a pseudo proxy part of curriculum with the goal of landing internships in each year of their summer/winter break. #analytics #recruiting #python #r #meetup #engineers #internships #datascience

Brave New World of Data Science

The rate at which technology is changing boggles the mind.

Machine Learning to Deep Learning.

Chatbots and Block Chain.

Cloud Computing to Big Data Distributed Computing.

New open source libraries in R and Python.

The rate of innovation is increasing.

What is really good, is young people today are unafraid to take risks, to start startups than stick to big companies.

The future belongs to innovation.

#bigdata #machinelearning #deeplearning #cloudcomputing #python #r #futurism

Why Budding Data Scientists Should Blog?

One thing I always advise my students and internees. Write a blog and keep a social media presence to distribute the content. Why? Because you are a data scientist only when the world recognizes you as one. Writing also improves your ability to express lucidly complicated topics in a systematic manner. How to stand out in a clogged world of data science posts-

write 1) simple 2) unique 3) useful blogs.

Having created Decisionstats with +1 million page views over the years- I know it works. Mazel Tov! #socialmedia #datascience #writing #blogging

A better Iris Dataset for the current era

The IRIS dataset is the curse of teaching data science. It makes applying algorithms very simple. What is needed is a BIGGER DATASET with missing values and many many variables/features that teaches the whole cycle of data science, not just plain machine learning but also data pre-processing , dimensionality, standardization, as well. Ideally the dataset should be bigger than memory (RAM) to teach efficiency as well. #datascience #machinelearning #algorithms

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Varun Mahanot

That’s true Ajay Ohri . I think this dataset is a much more complicated and sophisticated dataset and has all of the things you mentioned. Unfortunately though, I have been having struggling with the analysis of this dataset. (accuracy about 55% with ANN) https://he-s3.s3.amazonaws.com/media/hackathon/machine-learning-challenge-6-1/predict-the-energy-used-612632a9-3f496e7f/a490e594-6-Dataset.zip From this challenge: https://www.hackerearth.com/challenge/competitive/machine-learning-challenge-6-1/machine-learning/predict-the-energy-used-612632a9-3f496e7f/

Manish Gupta

Such datasets leave serious skill gap with the practitioner: of how to create your modeling data from scratch in the first place. What would a DS do when all he faces , in a practical scenario, data residing/flowing in a production system for business, spread across multiple platforms and warehouses, so much so that data threading itself requires good business process understanding…..modeling here stands at far end of the tunnel..And no online tutorial can teach this to you…you have to get in a real data environment.. It’s far far bigger than the issue of data munging.

Saurabh Dwivedy

Several solutions exist to this problem. You may refer to this (admittedly introductory level) link for some inspiration – https://machinelearningmastery.com/large-data-files-machine-learning/

You could also refer to this link for a specific use case related with R. https://www.researchgate.net/post/How_to_use_R_language_for_larger_datasets_of_size_more_than_a_machine_RAM_size Since R works in RAM this is more relevant

WHAT DO YOUNG BUDDING DATA SCIENTISTS WANT?

What do young and budding data scientists want?

-To be mentored by experienced data scientists on acquiring skills what to study and where to study given the huge number of choices in studying data science (videos, Moocs, classroom,online education) at different price points (from 0$ to 10000$). surprising number of would be data scientists in India dont know basics of git or linux even though it is free at places like codeacademy. surprising number of experienced data scientists in India do not give back to community in meetups or webcasts even though doing so would increase their brands.

-many institutes offer huge number of courses ranging from 400$ to 10000$ programs. budding data scientists need some sort of protection from confusion created by unethical marketing promises

– students need capstone projects, how to do competitions like kaggle, hackathons, open datasets to practice skills above. competitive coding, data structures and algorithms is the next round of knowledge to be acquired to get interviews.

– opportunity to showcase their skills and output in internships. A single data science post on LetsIntern gets ~300 applicants!

Lets all try and give knowledge if we are experienced, and lets all try to humbly work hard to acquire knowledge if we are new. This is next revolution in information technology due to cloud, big data, open source, machine and deep learning, and AI.

Lets make knowledge equitable. Thats the only way it grows.

Finally a credible data scientist certification

Anaconda announced their exhaustive and superb data science certification. While Big Data and other fields have had certifications , data science only had expensive tutorials and training but no certification. This will be a game changer in the data science training industry.

https://www.anaconda.com/anaconda-data-science-certification/?mkt_tok=allo