Author: Savaram Ravindra Introduction The machine learning systems have been around since the 50s, but there are three major factors at play. They are improved algorithms, more powerful computer hardware, and the enormous increase of data. This is the reason why machine learning has gained a lot of significance than it had in the 50s. […]
Author: Edward Huskin Implementing a neural network from scratch is a deeply valuable exercise, especially for someone just picking up on the fundamentals of machine learning. Once all the concepts have sunk in, writing a library that does something as common as image classification, and OCR is basically attempting to reinvent the wheel. Rather than […]
Dear Aspiring Data Scientists: I know many of you are out there trying land a job in the hottest career around, data science. Finding that job – especially the first one – is challenging, to say the least. You may have heard of Mark Meloon. He is a Data Scientist and widely-respected resource when it […]
In this interview with Data Scientist Mark Meloon, we turn the tables and I provide advice to “aspiring” Data Scientists on how to land that first job. It’s broker down into 10 Parts (by question.). Enjoy!
So what is the difference? “Data Science vs Machine Learning” “A simple distinction between Data Science vs Machine Learning for project managers and team leads.” by Charles Martin, PhD Data Science & Machine Learning Expert (YouTube Channel) OTHER: Artificial Intelligence Vs. Machine Learning Vs Data Science Vs Deep Learning My Quora Answer to: What […]
To: All Aspiring Data Scientists: I’ve exchanged messages with many of you about how to land that first job as a Data Scientist. Landing the first job is indeed hard with all the competition, but if you had a road-map for exactly what to do that was created by a Director of Data Science, who’s been […]
When author Kate Strachnyi wanted to learn more about data science, she went straight to the source. In a series of more than twenty interviews, she asks leading data scientists questions about starting in the field and the future of the industry. Strachnyi’s interview subjects include team members from some of the world’s largest organizations, including LinkedIn, Pinterest, Bloomberg, and IBM.
Watch a free webinar by Mark Meloon, an experienced Data Scientist who has first hand experience with the difficulties landing that first gig as a Data Scientist.
He has helped a lot of others navigate and position themselves to get in the door and start their lucrative careers. It worth listening to what he has to say. His advice is proven to work. He’s given talks a major bootcamps (e.g. Metis, Galvanize) and have made a name for himself advising “aspiring” data scientist.
In this free training will show you his proven step-by-step system for landing the job of your dreams, even if you don’t have prior experience or a Ph.D.!