
artsMay 15, 202519:20pending
Practitioner’s Guide to Data Science (Chapman & Hall/CRC Data Science Series)
About this episode
The Book provides a practical look at data science in real-world industry settings, covering both technical and soft skills not always found in traditional academic materials. Key features include a focus on big data cloud platforms like Spark using R and Python with provided code examples for hands-on learning, as well as discussions on data pre-processing, data wrangling, and various modeling techniques such as regression, regularization methods, and tree-based models like random forest and boosted trees. The text also offers insights into the history of data science, typical data science project cycles, and the different roles within a data science team. Finally, it touches upon deep learning, covering Feedforward, Convolutional, and Recurrent Neural Networks, along with discussions on databases and SQL.
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You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Practitioners-Guide-Data-Science-Chapman/dp/0815354398?&linkCode=ll1&tag=cvthunderx-20&linkId=fcdf7ebbc5282cdec95235000c2e51ea&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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