“If opportunity doesn’t knock, build a door”
Milton Berle quoted and it is quite appropriate today. If your job is not giving you enough opportunity to learn and grow, choose a different career path. What could be better than Data Science presently?
According to a recent study by LinkedIn, the highest growth in jobs related to data science and data analysis include:
“Storytelling is the most powerful way to put ideas into the world.” -Robert Mckee
In this article, using small stories, I will try to explain the concepts of ensemble machine learning.
In recent times, I haven’t found any Kaggle competition-winning solution which doesn’t have ensemble machine learning. So, it might be a good way to understand the basic concepts of ensemble machine learning using some examples.
Suppose you want to buy a house. To understand if this is the perfect house for you or not, you will ask questions to your friends who have bought a house, real-estate brokers, neighbors…
“Try not to become a man of success but rather try to become a man of value”
The powerful statement once told by Einstein. Be it a data science world, or a manufacturing industry business, all run by people. In each of the world, several people got success and one thing is quite common in all of them. Trait to succeed runs into the blood of every successful person.
By 2020 in the US there will be an increase in data science professional jobs from 364,000 to 2,720,000. …
“Hey bro, I am working in the field of Human Resource. Can I pursue my career in the field of Data Science or it is not for me?”
“Hello sir, I have 5 years of experience in software development, but I want to break into the path of data science. Is it still possible?”
“I have graduated recently sir and want to start my career in the field of data science. How to do it?”
And many more like this…
The questions might come from a diverse background, knocking on the door of data science, but the answer is straightforward…
Senior Data Scientist in TCS, more than 10 years experience in Data Science, Top 20 Data Science Academician in 2018.