Preparing to interview for a Data Scientist position takes preparation and practice, and then it could all boil down to a final review of your skills. Based on personal experience, these tips on how to approach such a review will help you excel in the coding challenge project for your next interview. Originally from KDnuggetsContinue reading “How to ace the data science coding challenge”
Author Archives: 365Data Science
Text Mining with R: The Free eBook
This freely-available book will show you how to perform text analytics in R, using packages from the tidyverse. Originally from KDnuggets https://ift.tt/3iZ04wA source https://365datascience.weebly.com/the-best-data-science-blog-2020/text-mining-with-r-the-free-ebook
How to Become a Business Analyst?
The business analyst profession is one of the most popular career choices in the business world. The role has plenty to offer not only as a stand-alone career but also as one of the best gateways into the field of analytics and data science. What’s more, the business analyst job allows you to constantly evolveContinue reading “How to Become a Business Analyst?”
Top KDnuggets tweets Oct 7-13: Every DataFrame Manipulation Explained and Visualized Intuitively
Also Free Introductory Machine Learning Course From Amazon; A Complete Guide to Learn #DataScience in 100 Days; Top 3 Books for Every #DataEngineer. Originally from KDnuggets https://ift.tt/3lKCi9h source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-kdnuggets-tweets-oct-7-13-every-dataframe-manipulation-explained-and-visualized-intuitively
Deep Learning Design Patterns
New book, “Deep Learning Design Patterns” presents deep learning models in a unique-but-familiar new way: as extendable design patterns you can easily plug-and-play into your software projects. Use code kdmath50 to save 50% off. Originally from KDnuggets https://ift.tt/33ZzKxO source https://365datascience.weebly.com/the-best-data-science-blog-2020/deep-learning-design-patterns
Free From MIT: Intro to Computational Thinking and Data Science
This free course from MIT will help in your transition to thinking computationally, and ultimately solving complex data science problems. Originally from KDnuggets https://ift.tt/3iV5OHH source https://365datascience.weebly.com/the-best-data-science-blog-2020/free-from-mit-intro-to-computational-thinking-and-data-science
How to shine in a Data Science ChallengeAn Example from DrivenData
Richter’s Predictor— Data Challenge from DrivenData Scoring in the top one percent in the Richter’s Predictor: Modeling Earthquake Damage on DrivenData. Next to Kaggle there are many other websites which host highly relevant and competitive data science competitions. DrivenData is one of these websites. The main difference between the renowned Kaggle and DrivenData is probablyContinue reading “How to shine in a Data Science ChallengeAn Example from DrivenData”
Machine Vision how AI brings value to industries
Enterprises are using multiple types of AI applications, with one in ten enterprises using ten or more. The most popular use cases are chatbots, process automation solutions and fraud analytics. Natural language and computer vision AI underpin many prevalent applications as companies embrace the ability to replicate traditionally human activities in software for the firstContinue reading “Machine Vision how AI brings value to industries”
How Artificial Intelligence is Changing the Real Estate Industry
Image Source: http://www.hiddenbrains.com Artificial intelligence or AI is used — often unnoticed by humans — in more and more areas. This is also the case in the real estate industry, where the capabilities of neural networks open up new opportunities for the sale, operation, and maintenance of buildings. The areas of application in the real estate industry are diverse.Continue reading “How Artificial Intelligence is Changing the Real Estate Industry”
Goodharts Law for Data Science and what happens when a measure becomes a target?
When developing analytics and algorithms to better understand a business target, unintended biases can sneak in that ensure desired outcomes are obtained. Guiding your work with multiple metrics in mind can help avoid such consequences of Goodhart’s Law. Originally from KDnuggets https://ift.tt/2H1SHHh source https://365datascience.weebly.com/the-best-data-science-blog-2020/goodharts-law-for-data-science-and-what-happens-when-a-measure-becomes-a-target
365 Data Science 