👉 📊 There are endless conversations, debates, and discussions over this popular topic, and it can be a little overwhelming to know where to start from data science experts to complete newbies.

🔥 While, from researchers to students, industry experts, and machine learning (ML) enthusiasts — keeping up with the best and the latest machine learning research is a matter of finding reliable information. Here in this blog, we are going to share information on how data science is evolving with the rising demand for Machine Learning.

Inside 🎰 Machine Learning- 👇

In amazingly simple words every time we pick our phones to get seek information from any search engine like google or any social media platform like Facebook or Instagram, Machine Learning is playing its role each moment. It is the role of Machine Learning to provide the most relevant information/ recommendations to the searcher. From searching for good restaurant hopping options to tips for skincare regime, we are contributing machine learning through our searches on the internet, without realizing it.

🎯 Machine Learning technology plays a big role in collecting and keeping track of user search behavioral data for the companies, so the same can be taken into consideration while taking the important product of services related decisions by Data Scientist or business personnel.

🗨 So, this was the explanation of how in our daily lives we are interacting with Machine learning Cluelessly. Now let us understand the role of data scientists and how it related to Machine Learning.

📉 Who is a Data Scientist?

🚀 This can be drafted as the one who is an expert in extracting meaningful information from the heaps of data. They are specialists, gathering, and analyzing large sets of structured and unstructured data. With a combination of computer science, statistics, and mathematics, Data scientists are analytical experts who utilize their skills both technologically and ethically to find trends and manage data. They analyze, process, and model data then translate the results to create actionable plans for companies and other organizations.

👩‍💻 The Sufficient knowledge of different Machine Learning techniques and like Python, SAS, R, and SQL/NoSQL database, and other tools Data Scientist can perform the task with very few challenges and easily outrank the competitor.

🎰 Machine Learning for Data Scientist or Vise-Versa? 👇

Taking into consideration the role of Data Scientist discussed above- without data, machine learning does not fulfill its use. This is how machine learning and data science go hand in hand as they both are incomplete without each other.

🗨 Where machine learning collects the data for Data scientists to evaluate and extract the meaningful out of it. With the increased use of technology/internet, the use of ML acts as a spur to push data science in high demand.

In the world of 📈 data science one can never feel the shortage of tools and algorithms to be applied to data, with this we can say data science skills also involves the ability to evaluate Machine learning and can make the machine as smart as to make their analyses process easier. Going forward, essential levels of machine learning will become a benchmark for data scientists. 🔻

Seeing from a different perspective, to match human abilities, machines need to be smart enough and Machine Learning is the soul of Artificial intelligence.

👨‍⚖️ Data Scientists must understand Machine Learning for the best outcomes and quality results. This can help machines to make the right decisions and smarter actions in real-time with zero human intervention. Hence, Data Scientists must acquire skills in Machine Learning. 👇

📖 Conclusion-

In the world of Data Science, Machine learning has already proven its worth, it is turning out to be the best solution to a deeper analysis of a huge amount of data. Data scientists must acquire knowledge of ML to standout in the competitive market.

✍ Author Bio :⤵

Senior Data Scientist and Alumnus of IIM- C (Indian Institute of Management – Kolkata) with over 25 years of professional experience Specialized in Data Science, Artificial Intelligence, and Machine Learning.
PMP Certified
ITIL Expert certified APMG, PEOPLECERT, and EXIN Accredited Trainer for all modules of ITIL till Expert Trained over 3000+ professionals across the globe currently authoring a book on ITIL “ITIL MADE EASY”.

Conducted myriad Project management and ITIL Process consulting engagements in various organizations. Performed maturity assessment, gap analysis, and Project management process definition and end to end implementation of Project management best practices. 👇

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