MEMBERSHIP

Individual Members (1794)

Membership is FREE for data scientists, stay connected and build a profile

University (20)

Provide course information and participate in the peer-review publishing programme

Corporate (39)

We will assist your search for qualified and approved data scientists

Supplier (23)

Develop connections and improve your profile within the data science sector

Data Talk Articles

05 Apr

EDGE AI: Can this be the next big thing?

Artificial Intelligence is a familiar term, but have you heard of Edge AI? If you have heard of it recently, have you wondered what is it and how it differs from Artificial Intelligence? Let's decode it and try to understand why it's become such a hot topic. Read more

04 Apr

Ways to Improve the Accuracy of Machine Learning Models

The accuracy of machine learning models is perhaps the most important element of AI models. The more effective and reliable the model the more usable it is. Any improvements in accuracy will make all the difference in a competitive world. Read more

04 Apr

Distance Metrics in Machine Learning

Everywhere is within walking distance if you have the time, said Steve Wright, an American comedian, writer and actor. This is true, but who has the time these days? As a result, distance becomes an important metric. Read more

02 Apr

Advanced Monitoring System Using Wireless Sensor Networks

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. Read more

02 Apr

Introduction to Big Data by S. SureshKumar

Introduction to Big Data by S. SureshKumar. Big Data refers to massive amounts of unstructured data, which can be processed and analysed to produce new and interesting insight about the people or processes that produced the data. The volume of data that one needs to deal with has exploded to unprecedented levels over the last decade. Read more

30 Mar

Setting up a Python Jupyter Notebook Online & Working with Python on the Cloud

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 Read more

25 Mar

Get Free Spark NLP for Healthcare Licenses to Fight COVID-19

John Snow Labs, the winner of the Data Science Technology award in the International Data Science Awards 2019, is making all its licensed software – Spark NLP for Healthcare, the Healthcare AI Platform, and the Curated Datasets – available for free to data scientists who are actively tackling COVID-19. Read more

24 Mar

You can help fight Coronavirus

UnifAI Technology and some of our partners, including Amazon Web Services, have put our capabilities to work to try and help contribute to solving the COVID-19 problem. Read more

22 Mar

Introducing the UnifAI AI solution for sustainable plant growth

When we talk about improving productivity and sustainability of agriculture, we need to look at the elements that contribute to sustainable plant growth. There are 17 essential elements needed for plants to grow and reproduce. The great news is that three of them are free! Carbon, hydrogen and oxygen, and plants get these from carbon dioxide and water. Those three elements account for over ninety five percent of the plants dry weight. Read more

20 Mar

DataIQ 100 2020 launch - live and online

The annual launch of the DataIQ 100 is the most hotly-anticipated moment in the data and analytics industry’s calendar, with its fully-curated line-up becoming a common reference point across the following 12 months. While the current health emergency has prevented the planned live event from taking place, the 2020 edition will instead be unveiled via a live webinar, meaning it can be watched by anybody from anywhere. Read more

WHITEPAPERS

01 Apr

Python for Data Analysis

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

30 Mar

GC Antiviral / Viricidal Graphene Inks

Although existing personal protective equipment (PPE) can filter out 95% of harmful bacteria and viruses, few can actually kill coronaviruses in particular. Research has shown that combining graphene oxide (GO) with known antivirals significantly enhances their virus-killing performance.

26 Mar

Ethical Artificial Intelligence

Discrimination and fairness in AI and machine learning: How to detect and mitigate bias in the financial services industry

25 Mar

SQL for Data Science

Learn the significance of SQL in Data-Science and Machine Learning. And understanding the basics of SQL.

25 Mar

INTERNET OF THINGS (IOT): NETWORK PROTOCOL QUEUE AND ENABLING TECHNOLOGIES

The internet of things or (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

24 Mar

Hands-On with First ML Model

Thinking about using a Machine Learning model? Get your hands dirty with a practical lesson on SKLEARN.

View All

LATEST DISCUSSION

Setting up a Python Jupyter Notebook Online & Working with Python on the Cloud;

06 April 2020 | Mayank Tripathi

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

Python for Data Analysis;

06 April 2020 | Mayank Tripathi

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?;

06 April 2020 | Abhishek Mishra

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

Two stage process of data exploratory;

06 April 2020 | Balakrishnan Subramanian

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

Advanced Monitoring System Using Wireless Sensor Networks;

06 April 2020 | Sureshkumar Sundaram

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 required to be AI engineer?;

05 April 2020 | Abhishek Mishra

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

How does R shiny works?;

04 April 2020 | Abhishek Mishra

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?;

03 April 2020 | Abhishek Mishra

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?;

01 April 2020 | Abhishek Mishra

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 tend;

31 March 2020 | Abhishek Mishra

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.