Data Science

Interview with Mr. Abhinav Bhatnagar, the Data scientist at Truecaller

Mr. Abhinav Bhatnagar is a Big data scientist with 6+ years of experience, interested in mining insights, building Machine Learning pipelines on big data, big data science. I have got hands-on professional experience in Machine Learning, Deep Learning, Big Data Technologies(Hive, Hadoop, Spark, MongoDB, Kafka) and Languages. He is working at Truecaller. Q: How to …

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Three Steps For A Successful Machine Learning Project

Three less-technical tips for a more successful journey into machine learning As people and companies venture into machine learning (ML), it is common for some to expect to dive right into building models and generating useful output. And while some parts of ML feel like this technical wizardry with magical predictions, there are other aspects …

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Implementing Naive Bayes for Sentiment Analysis in Python

The Naive Bayes Classifier is a well known machine learning classifier with applications in Natural Language Processing (NLP) and other areas. Despite its simplicity, it is able to achieve above average performance in different tasks like sentiment analysis. Today we will elaborate on the core principles of this model and then implement it in Python. …

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Intro to Classification and Feature Selection with XGBoost

I recently came across a new [to me] approach, gradient boosting machines (specifically XGBoost), in the book Deep Learning with Python by François Chollet. Chollet mentions that XGBoost is the one shallow learning technique that a successful applied machine learner should be familiar with today, so I took his word for it and dove in to learn more. …

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PSYEC and NextSmarty Conference Call on Artificial Intelligence

On October 25th, 2018 AI Time Journal organized a conference call between the students of PSYEC engineering college and Hoa M. Le, lead data scientist at NextSmarty. The goal of the session was to allow the students to ask detailed technical questions about AI, Machine Learning and Deep Learning techniques. Mr. Hoa M. Le provided valuable insights …

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