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. […]
Which Is the Best Framework for Machine Learning?
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 […]
Guest Blog Series | Statistics Denial, Best Statistical Practice (Post #5)
This is Part #5 in a series of popular articles by Randy Bartlett, Data Scientist and Author entitled, “Statistics Denial, Best Statistical Practice.” Read More
Guest Blog | “Dear HR: Stop Hiring Data Scientists Until You’re Ready for Data Science”- Greta Roberts, CEO of Talent Analytics
I have seen it first hand many times as a recruiting specialist in the Data Science field. Companies leap into hiring a Data Science Team before they are 100% clear on the mission and it’s costly. Guest Blogger, Greta Roberts, CEO and Co-Founder of Talent Analytics Corp offer interesting advice on how to avoid this pitfall in the article “Dear HR: Stop Hiring Data Scientists Until You’re Ready for Data Science.” Read More
Guest Blog Series | Statistics Denial, Applied Statistics Is A Way Of Thinking, Not Just A Toolbox (Post #4)
This is the 4th post of a series of popular articles by Randy Bartlett, Data Scientist and Author entitled, “Statistics Denial, Applied Statistics Is A Way Of Thinking, Not Just A Toolbox.” This is the post #2 of series of popular articles by Randy Bartlett, Data Scientist and Author entitled, “Essays On Statistics Denial” READ MORE This is first of series of popular articles by Randy Bartlett, Data Scientist and Author entitled, “Preparing For The Coming Flood … Of Statistical Malfeasance: Data Scientist, Zack Voulgaris, gets philosophical about the merits of Data Science in this guest post. He writes “What I do want to talk about is the philosophical aspects of data science and its usefulness to the world, after the hype of big data inevitably wanes. Hence the term Philognosia, which I define as the love of knowledge, particularly applicable knowledge, as a human value and an attitude towards the digital world. Read More…Guest Blog Series | Statistics Denial, Statistics Debacles & The Coming Flood Of Statistical Malfeasance (Post #3)
Guest Blog Series | Essays On Statistics Denial (Post #2)
Guest Blog Series | “Preparing For The Coming Flood … Of Statistical Malfeasance”
— Identifying & Understanding Statistics Problems” READ MOREGuest Data Scientist Post | “Data Science and the Art of Philognosia”