How You Can Build a Data Science Product in 10 days? & What Has a More Promising Future, Data Science or Java and

in steemit •  6 years ago 

Time-to-Change-the-Game-of-Online-Lending-With-AI-and-Big-Data.png

Data Science is a broad field which deals with study and analysis of data. In the current age of internet and information technology, petabytes of new data is getting created on a daily basis. Java on the other hand is a programming language. It can be used to create applications and has tremendous potential.

We decided to leverage data science to address the lateness issue. The idea was to use data science models to estimate the delivery capacity for each window, and a window would be closed when the number of orders placed reaches its capacity.
Here is how we built a v1 product in 10 days.

Beginners in artificial neural networks (ANNs) are likely to ask some questions. Some of these questions include what is the number of hidden layers to use? How many hidden neurons in each hidden layer? What is the purpose of using hidden layers/neurons? Is increasing the number of hidden layers/neurons always gives better results? I am pleased to tell we could answer such questions. To be clear, answering such questions might be too complex if the problem being solved is complicated. By the end of this article, you could at least get the idea of how these questions are answered and be able to test yourself based on simple examples.

Comparison of Top 6 Python NLP Libraries - Today, we want to outline and compare the most popular and helpful natural language processing libraries, based on our experience.

https://www.kdnuggets.com/2018/07/comparison-top-6-python-nlp-libraries.html

How Building A Data Science Product in 10 Days - At startups, you often have the chance to create products from scratch. In this article, the author will share how to quickly build valuable data science products, using his first project at Instacart as an example.

https://www.kdnuggets.com/2018/07/building-data-science-product-10-days.html

Beginners Ask “How Many Hidden Layers/Neurons to Use in Artificial Neural Networks?” - By the end of this article, you could at least get the idea of how these questions are answered and be able to test yourself based on simple examples.

https://www.kdnuggets.com/2018/07/beginners-ask-how-many-hidden-layers-neurons-neural-networks.html

Do you need Top 20 Internet of Things Companies market data? - The global Top 20 Internet of Things Companies report provides the reader with a thorough overview of the competitive landscape in the Internet of Things market and to identify key growth areas and business opportunities.

https://www.prnewswire.com/news-releases/top-20-internet-of-things-iot-companies-2018-visiongain-report-848730287.html

What Has a More Promising Future: Data Science or Java - Data Science is a broad field which deals with study and analysis of data. In the current age of internet and information technology, petabytes of new data is getting created on a daily basis. Java on the other hand is a programming language. It can be used to create applications and has tremendous potential.

http://www.indiawest.com/life_and_style/what-has-a-more-promising-future-data-science-or-java/article_adbc4b68-8ec3-11e8-936a-63e97532d2c1.html

“Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We're nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.” —Larry Page

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