Free Books Data Science & AI
I share a list of recommended free books for Data Science & AI from introductory level to advanced techniques: The LION Way: Machine Learning plus Intelligent Optimiz...
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Math for Data Science in One Picture: What do you REALLY need to study?
In my last blog post, I covered the statistics you need to know for data science. But of course, stats isn’t the only math related knowledge you need. Rather than...
Statistics for Data Science in One Picture
There’s no doubt about it, probability and statistics is an enormous field, encompassing topics from the familiar (like the average) to the complex (regression anal...
Data science for managers: Programming languages
Programming languages are a tool for the realization of many powerful data science applications. But, there are so many of them and it has become confusing to choose the ...
Data Science Learning Path For Complete Beginners
Practical path for learning data science for beginners…. ✅ Step 1 Download and Install Anaconda https://lnkd.in/gWHY_ij ✅ Step 2 a. Learn the basics of Python (...
Real-World Data Science Challenge: When Is “Good Enough” Actually “Good Enough”
Nothing like a devastating catastrophe to bring a bit of reality into the world of IoT and data science. The recent crashes of the new Boeing 737 Max have been attribut...
Top 5 Reasons to Move Enterprise Data Science Off the Laptop and to the Cloud
We live in a world that is inundated with data. Data science and machine learning (ML) techniques have come to the rescue in helping enterprises analyze and make sense of...
Maslow's Hierarchy of Data Science: Why Math and Science Still Matter
As an academic discipline, the rate of maturation for data science should be measured in light years. Although it’s really only about 10 years old as a field of st...
Top 7 Data Science Use Cases in Administration
A successful business requires new approaches to data management in this age. Modern advances in data science area provide an efficient solutions for numerous use cases. ...
Critical tools used in the Data Science Domain
Data Scientists help find insights about the market and help make products better. They are responsible for analyzing and handling a massive amount of structured and unst...