Source: here Here is what I learned from practicing machine learning in business settings for over two decades, and prior to that in the academia. Back… Read More »What I Learned From 25 Years of Machine Learning
In todays business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable… Read More »Data Warehouse, Data Lake, Data Mart, Data Hub A Definition of Terms
We are currently living in such a period where computing has transformed immensely from large mainframes to personal computers to the cloud. The constant technological… Read More »Your Guide for the Commonly Used Machine Learning Algorithms
Have you ever sat in a meeting where everyone has a different number for the same performance measure? This typically results in spending the next… Read More »Why Enterprise Data Planning Is Crucial for Faster Outcomes
Data science can be considered to be a new buzzword in the world of technology. Data scientists and big data engineers hold the promise of… Read More »Data Science: A Good Career Choice
We are now ready to wrap up the four-part series on how technology vendors especially data and analytic technology vendors (and what technology vendors… Read More »Unleashing the Business Value of Technology Part 4: Delivering Value
Are you a leader or a laggard or an aspirant in AI? This is a subject close to my heart because I focus my teaching… Read More »The early move advantage in AI: leaders vs laggards vs aspirants
This blog is the second part of a two-blog series. Here, we discuss different sectors where reinforcement learning can be used to solve complex problems… Read More »Applications of real-world reinforcement learning
On April 10, 2019, the news broke out that NASA scientists obtained the image of a black hole first time in the history of humanity.… Read More »How Python Saw the First Black Hole
Hello! I like to share my interesting experience While I was working as a junior Data Scientist, I can even say I was a beginner… Read More »Secret behind the Dimensionality Reduction for Data Scientist
