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3 min read

Top 3 Ways Data Analytics Can Reduce Costs In Healthcare and Medicine

By Sejal Gupta on Aug 17, 2020 1:34:00 PM

Topics: big data healthcare smart device healthtech data science medtech
1 min read

Career Transition: Data Scientist Q&A

By Byte on Aug 17, 2020 1:33:51 PM

At Byte Academy, we teach a variety of courses within the field of Data Science. From our full-time immersive to our mini-courses in topics like Machine Learning and Data Visualization, we're consistently asked about what a career transition into Data Science looks like. To provide some guidance to our prospective students and blog readers, we've asked our own Data Scientist, Lesley Cordero, for her own perspective on frequently asked questions.

Topics: syllabus law data science career
5 min read

Top 10 Datasets for Deep Learning

By Manavika Phukan on Aug 17, 2020 1:33:34 PM

The strength and robustness of a machine learning algorithm often lies in the quality of the dataset used to train it. Therefore, it would suffice to say that to gain true mastery within these fields, it is imperative that a person gains experience over a variety of machine learning problems that deal with a variety of datasets - ranging from image processing to speech recognition.

Topics: deep learning data science
5 min read

The Worst Kind of Data: Missing Data

By Uday Keith on Aug 17, 2020 1:33:23 PM

Most publicly available datasets or datasets at the workplace are complete. However, from time to time we encounter datasets where some or many entries are missing. The problem of missing data exists on a spectrum; only a few entries missing among millions is virtually negligible, however, upwards of 10% of missing data can be crippling.

The exact problem of missing data contains multiple layers, so let us proceed to peel it like the onion it is.  At its most basic, enough missing data may skew the distribution(s) the data follows.

Topics: tips coding data science
3 min read

The Music Industry is Rapping to Data Science

By Byte on Aug 17, 2020 1:33:13 PM

From the Beatles to Taylor Swift, everyone's music is available digitally now. People used to think technology is killing the music industry, but it's technology which is reviving it. So for musicians who are also interested in programming, data science is one way to get onboard with the idea. Spotify and Pandora know just the right track to play next thanks to data science. Wondering which song did well and why, look no further, the answer is in data science.

 

Pandora was perhaps the frontrunner of combining the two when it started the 'Music Genome Project' way back in 1999 before terms like Big Data even existed. The project considers songs as datasets and analyzes each song using up to 450 distinct musical characteristics or “genes”. A person – a trained music analyst with an actual degree in music – and automated algorithms comb through the song and classify it as Pop/Rock, Hip-Hop/Electronica, Jazz, World Music, and Classical. Decoding the “genes” of the song helps Pandora find the similarities and then successfully predict what a user might like listening to next.

Topics: big data spotify music data science career
5 min read

The Beautiful Binomial Logistic Regression

By Uday Keith on Aug 17, 2020 1:32:57 PM

The Logistic Regression is an important classification model to understand in all its complexity. There are a few reasons to consider it:

Topics: regression data science
1 min read

The 16 FinTech Unicorns Only Do Three Things

By Byte on Aug 17, 2020 1:32:45 PM

Will this breakdown remain, or will the market get too heavy in those sectors and even out?

Topics: Uncategorized
2 min read

The 5 Must Read Books For Every Data Scientist

By Byte on Aug 17, 2020 5:57:55 AM

 

Topics: machine learning data science
1 min read

Breakdown Of Roles in Data Science (aka 'Big Data')

By Ryan Swanstrom on Aug 17, 2020 5:57:03 AM

We love these infographics from DataCamp which compare some of the many job titles in data science, the "sexiest" of the career of the 21st century according to Harvard Business Review.   The infographics lay out the roles and skills needed for the following job titles:

Topics: big data data science career
4 min read

Why I Took Time Off From Banking To Learn Code

By Emily on Aug 17, 2020 5:56:52 AM

Meet Josh Panknin, a banker in his mid 30's who took time off from Deutsche Bank in order to study at Byte Academy, the first ever FinTech coding bootcamp and perhaps still the only in the world.   Here, Josh explains why he took a break from Wall Street, the effects of technology and big data on finance, and, what learning to code is like when you don't want to be a programmer.  He also gives advice to those who may want to follow in his footsteps.

Topics: coding programming

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