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Transfer learning & The art of using Pre-trained Models in Deep Learning
Introduction Neural networks are a different breed of models compared to the supervised machine learning algorithms. Why do I say so? There are multiple …
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25 Must Know Terms & concepts for Beginners in Deep Learning
Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years. …
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41 questions on Statistics for data scientists & analysts
Introduction Statistics forms the back bone of data science or any analysis for that matter. Sound knowledge of statistics can help an analyst to …
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40 Questions on Probability for data science – [Solution: SkillPower – Probability, DataFest 2017]
Introduction Probability forms the backbone of many important data science concepts from inferential statistics to Bayesian networks. It would not be wrong to say …
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Introduction to Conditional Probability and Bayes theorem for data science professionals
Introduction Understanding of probability is must for a data science professional. Solutions to many data science problems are often probabilistic in nature. Hence, a better …
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Basics of Probability for Data Science explained with examples
Introduction Statistically, the probability of any one of us being here is so small that you’d think the mere fact of existing would keep …
