Basic data science statistics8/15/2023 ![]() Think Stats introduces probability and statistics for Python programmers and majorly covers concepts directly related to data science. ![]() This book draws on his learnings and guides data scientists on distinguishing ‘true signals’ from noisy data, prediction mistakes to avoid, the prediction paradox and more through excerpts from some of the most successful forecasters in different fields and his real-life experiences.įind the book here. Nate Silver is a popular blogger known for his baseball performance prediction system and his prediction of the 2008 election, among other works. The book has been deemed to prepare data scientists to communicate their findings clearly and precisely. Tagged as ‘One of the more momentous books of the decade’ by The New York Times Book Review, The Signal and the Noise is a comprehensive guide on making better predictions using statistical models. The Signal and the Noise: Why Most Predictions Fail but Some Don’t by Nate Silver ![]() Considering this barrier, Analytics India Magazine has identified the top statistics books catered to data science. Additionally, given the broad nature of statistics, not everything is relevant to data science. It helps comb through the data and present the findings in a simple manner, thereby identifying hidden patterns and aspects of data, which plays a crucial role in data-driven decisions.īut data scientists typically tend to lack the in-depth knowledge in statistics that could further their insight generation. While statistics have not been popular among data scientists in the past, it plays a huge underlying role in better data analysis, prediction and inference. Big data has disrupted the data science industry as we knew it, including the subjects data scientists engage with. The problem companies face today is not the lack of data on the contrary, it is the massive loads of data that data scientists find difficult to deal with. ![]()
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |