Setting up a Python Jupyter Notebook in one simple easy step without the hassle of installation or doing any setup on local machines or workstations

Wow this is really good as now we can do hands-on using the above online juypter notebook.

A practical guide to getting started with Python for Data Analysis with examples of code and easy to access libraries

Really good post.Nice and easy way to explain the concept.This is very helpful, in understanding what is Data Analysis and how python can be used to perform analysis.Will go through the links as there are many links in the post, but after reading this seems I will definitely be benefitted from those.

Tool differences between data science and analytics? can anybody bring out the key difference between these two subject ?

I think there any many difference and fundamentally there is a think line among-st these both ...apart from its defination

Two stage process: – Exploratory: Search for evidence using all tools available – Confirmatory: evaluate strength of evidence using classical data analysis

Wireless sensor networks are proliferating as they are suitable for use in many environments. In a wireless sensor network a group of sensors is distributed and used for monitoring and storing the physical condition of environment before relaying information back to a central point. Like a wireless ad hoc network, it makes use of the wireless connectivity to transform the data.

ZigBee is a wireless communication standard designed to address the unique needs of low-power, low-cost wireless sensor, and control networks. ZigBee can be used almost anywhere, as it is easy to implement and requires little power to operate.

What are the top credentials or courses required to be AI engineer online? any list ? or any link will help?

Thanks its helpful. Let keep updating this section with any latest courses /online/offline in AI field

How does R shiny works? How can we integrate it with some dashboard and make it to productions? any tips any example to share?

The Shiny web framework is fundamentally about making it easy to wire up input values from a web page, making them easily available to you in R, and have the results of your R code be written as output values back out to the web page.

What are the common successful methods to do smoothing?

Exponential smoothingExponential smoothing is a weighted moving average technique which is especially effective when frequent re-forecasting is required, and when the forecasts must be achieved quickly. It is a short-term forecasting technique that is frequently used in the production and inventory environment, where only the next period’s value is required to be forecast.

NLP and NLG how different are they? can we bring out some key difference and way it works..some examples?

NLGOnce a chatbot, smart device, or search function understands the language it’s “hearing,” it has to talk back to you in a way that you, in turn, will understand. That’s where NLG comes in. It takes data from a search result, for example, and turns it into understandable language. So whenever you ask your smart device, “What’s it like on I-93 right now?” it can answer almost exactly as another human would. It may say something like, “There is an accident at exit 36 that has created a 15-minute delay,” or “The road is clear.” NLG is used in chatbot technology, as well. In fact, chatbots have become so advanced; you may not even know you’re talking to a machine. Using NLP, NLG, and machine learning in chatbots frees up resources and allows companies to offer 24/7 customer service without having to staff a large department.

Which of these measures are used to analyze the central tendency of data?

Which is Best—the Mean, Median, or Mode? When you have a symmetrical distribution for continuous data, the mean, median, and mode are equal. In this case, analysts tend to use the mean because it includes all of the data in the calculations. However, if you have a skewed distribution, the median is often the best measure of central tendency. When you have ordinal data, the median or mode is usually the best choice. For categorical data, you have to use the mode.