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Data Talk Articles

26 Feb

Improving Agriculture and Sustainability with AI By Nuno Silva

Farming is a high stakes profession with many constantly changing variables. Success can be dependent on monitoring those variables that directly influence plant health. For that we need access to the right information to make good decisions. We can only manage well what we can measure. This article examines how AI can help both farmers and the environment. Read more

13 Feb

Boosting the power of Machine learning Model

Boosting improves the power of machine learning models to improve the accuracy of their prediction. Read more

12 Feb

Green Computing: The Future of Computing

The concept of Green Computing has started to gain prominence over the past few years as organizations begin to examine their carbon footprints and the impact they are having on the environment. In addition to environmental and social issues, which are becoming more important to stakeholders, the financial impacts of maintaining energy burning and heat producing IT systems make greener alternatives more attractive. Read more

08 Feb

What are the different skill sets required to work as a Data Analyst or a Data Scientist?

The demand for people with data skills is increasing dramatically as organizations begin to make more use of their data. As a result, salaries have increased, and more people are looking to develop a career in this sector. The question is what skills do I need to get started? Read more

06 Feb

Placing Restrictions on Facial Recognition Technology

The AI enabled facial recognition application once a darling of Silicon Valley as software for authenticating identities, policing and spying, is suddenly under great controversy. San Francisco, Oakland, Berkeley and Somerville, Mass., have banded all of their agencies, including the department of police, from using it. Stopping the use of such technology is become necessity for protecting civil rights Read more

06 Feb

Deepfakes

Deepfakes are so named as the technology used to create fake, but extremely believable video and media representations, is based on deep learning, a branch of machine learning that applies neural net simulation to massive data sets. Read more

05 Feb

DataOps or DevOps? What is the difference?

Data is the key to success for many organisations and it should be gathered from and shared with all functions. This is what would happen in an ideal world. Read more

04 Feb

What is a Support Vector Machine?

Support Vector Machines or SVMs may sound intimidating, but they really aren’t. When I first heard about them, I became a little curious and wanted to know more. Read more

04 Feb

Understanding Analytics

Understanding Analytics tools and their usage. Read more

02 Feb

10 Questions which will help you refine your data strategy

Data is an important asset for all organizations, but few organizations are really creating true value with data. To develop value, data must be managed, and this requires the implementation of a data strategy. Read more

WHITEPAPERS

11 Feb

Using SAS Viya to Analyze Love at First Sight

According to the 2017 Elite Singles poll the majority of people, 61% of women and 72% of men believe in love at first sight. The paper walks you through the analysis and visualisation of a speed dating dataset garnered from Columbia University. It helps you to understand the most important factors and how to predict a potential match with that special someone, the first time we meet.

05 Feb

"Know thy Customer" - RFM a Smart Marketer Analysis

"Recency, Frequency, Monetary Value" or commonly known as RFM analysis is the key tool for many smart marketers who understand the importance of "Know thy Customer". Using segmentation you divide the audience into homogenous groups in order to send targeted messages.

02 Feb

INTELLIGENT AGENT BASED BUSINESS INTELLIGENCE

Business Intelligence (BI) Systems describes a form of data driven Decision Support Systems (DSS) that integrate a variety of concepts and technologies to gather, store and analyse data. Agent and Multi Agent System (MAS) is often mentioned as an approach to design and develop flexible and distributed software systems.

25 Jan

Raw Data Collection 2020: Principles and Challenges

Raw Data (also known and often referred to as Primary Data) collection is the starting point of any data analysis. Once the RD (Raw Data) is collected, it is processed to turn it into Information that can be converted into Knowledge further down the analysis track. The purpose of this White Paper is to explain the key RD collection principles and challenges and how these principles and challenges.

24 Jan

ARK STACK DEPLOYMENT: AN INTEROPERABILITY SOLUTION FOR SEAMLESS BLOCKCHAIN ECOSYSTEM

Ark – a decentralized mechanism invented to increase user assumption of blockchain technology. Ark plans to make a whole environment of connected affixes by giving simple to utilize devices to send our own blockchain. Being versatile and adaptable, it enables items to be procured by the across the board and make the use of the technology easier to use.

31 Dec

BIG DATA ANALYTICS: IDEA, DATA TYPES AND REFERENCE ARCHITECTURE

Data Analytics is the study of breaking down information to change over data to helpful information. This information could assist us with understanding our reality better, and in numerous settings empower us to settle on better choices.

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LATEST DISCUSSION

Ocean Protocol - #1 Data Economy Challenge;

25 February 2020 | Sebastian Howler

Dear peopleI have recently introtuced Ocean Protocol to you all and I'm happy to say since then a Data Economy Challenge has been held. This was the first of many where participants could build on the protocol and get rewarded for it. The winners even get support to fully build out their business. Check out the submissions here and winners here:https://oceanprotocol.devpost.com/submissionsAlso there's a new forum coming up where you can contact devs and participants. https://port.oceanprotocol.com/Let me know what do you think

Data science courses online;

24 February 2020 | Divya Jain

Data science online certification course on Geeklurn https://www.geeklurn.com/data-science-with-python/

Univariate;

22 February 2020 | Abhishek Mishra

Univariate data contains only one variable. The purpose of the univariate analysis is to describe the data and find patterns that exist within it.

How can you avoid the overfitting of your model?;

22 February 2020 | Abhishek Mishra

Keep the model simple—take fewer variables into account, thereby removing some of the noise in the training dataUse cross-validation techniques, such as k folds cross-validation Use regularization techniques, such as LASSO, that penalize certain model parameters if they're likely to cause overfitting

Steps to build a random forest model:;

22 February 2020 | Abhishek Mishra

Randomly select 'k' features from a total of'm' features where k << mAmong the 'k' features, calculate the node D using the best split pointSplit the node into daughter nodes using the best splitRepeat steps two and three until leaf nodes are finalized Build forest by repeating steps one to four for 'n' times to create 'n' number of trees

Steps in making a decision tree;

22 February 2020 | Abhishek Mishra

Take the entire data set as inputCalculate entropy of the target variable, as well as the predictor attributesCalculate your information gain of all attributes (we gain information on sorting different objects from each other)Choose the attribute with the highest information gain as the root node Repeat the same procedure on every branch until the decision node of each branch is finalized

Logistic Regression;

22 February 2020 | Abhishek Mishra

Logistic regression measures the relationship between the dependent variable (our label of what we want to predict) and one or more independent variables (our features) by estimating probability using its underlying logistic function (sigmoid).