10 Algorithms Every Programmer Should Know – and When to Use Them

@tachyeonz : Programmers love algorithms. What’s an algorithm? Good question! In my academic days, we would have said, “An algorithm is a well-defined, self-contained process or set of rules to be followed in a data processing system.”

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TensorFlow 101: Understanding Tensors and Graphs to get you started in Deep Learning

@tachyeonz : TensorFlow is one of the most popular libraries in Deep Learning. When I started with TensorFlow it felt like an alien language. But after attending couple of sessions in TensorFlow, I got the hang of it. I found the topic so interesting that I delved further into it.

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Vector Calculus: Understanding the Gradient

@tachyeonz : The gradient is a fancy word for derivative, or the rate of change of a function. It’s a vector (a direction to move) that The term “gradient” is typically used for functions with several inputs and a single output (a scalar field).

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The Mathematics of Machine Learning

@tachyeonz : In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products.

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Back-propagation, an introduction

@tachyeonz : Given the sheer number of backpropagation tutorials on the internet, is there really need for another? One of us (Sanjeev) recently taught backpropagation in undergrad AI and couldn’t find any account he was happy with.

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Essence of linear algebra preview

@tachyeonz : This introduces the “Essence of linear algebra” series, aimed at animating the geometric intuitions underlying many of the topics taught in a standard linear algebra course.Watch the full “Essence of linear algebra” playlist here: https://www.youtube.com/playlist?list…

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To Live Your Best Life, Do Mathematics

@tachyeonz : Math conferences don’t usually feature standing ovations, but Francis Su received one last month in Atlanta.

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Becoming a Data Scientist

@tachyeonz : This blogpost is an excerpt of Springboard’s free guide to data science jobs and originally appeared on the Springboard blog. Most data scientists use a combination of skills every day, some of which they have taught themselves on the job or otherwise. They also come from various backgrounds.

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140 Machine Learning Formulas

@tachyeonz : By Rubens Zimbres. Rubens is a Data Scientist, PhD in Business Administration, developing Machine Learning, Deep Learning, NLP and AI models using R, Python and Wolfram Mathematica. Click here to check his Github page.

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Becoming a Data Scientist

@tachyeonz : This blogpost is an excerpt of Springboard’s free guide to data science jobs and originally appeared on the Springboard blog. Most data scientists use a combination of skills every day, some of which they have taught themselves on the job or otherwise. They also come from various backgrounds.

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Connect On:
Twitter :@tachyeonz

Move Over, Coders—Physicists Will Soon Rule Silicon Valley

@tachyeonz : It’s a bad time to be a physicist. At least, that’s what Oscar Boykin says. He majored in physics at the Georgia Institute of Technology and in 2002 he finished a physics PhD at UCLA.

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Mathematicians have discovered how the universal patterns behind innovation arise

@tachyeonz : Innovation is one of the driving forces in our world. The constant creation of new ideas and their transformation into technologies and products forms a powerful cornerstone for 21st century society.

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