A super secure Password is very common nowadays. Although according to experts the password is going to expire very soon. Moreover, the pin codes are also replacing password in some why. Perhaps still there is a lot of importance of a secure password in many places. The one of the most secure, easy to remember and…
The grand challenge will be the control of human lifestyles. As due to technology, the whole lifestyle is changed, may someone belongs to any civilization of category. Everybody is fully effected by modern computing and the latest innovation. That changed people from day to day activities. So the biggest challenge would be the control of this…
Motivation; Whenever we will hear about Big Data implementation and its tools, we would definitely hear about Hadoop community. According to IBM analytics, some companies are delaying data opportunities because of organizational constraints. Others are not sure what distribution to choose and still, others simply can’t find time to mature their Big Data delivery due to…
Motivation Big data is an amount of data that you cannot deal with using traditional methods and it’s very relative because big data five years ago is not big data today so it’s constantly evolving. I think it’s when you have a great amount of data. Not only can you not store it, but you…
What is DevOps; DevOps is a Software Development Strategy, that bridges the gap between the Dev and the Ops side of the company. * It’s not a tool, it’s a Methodology to bridge the gap b/w development and operations teams! As there is always a lot of conflicts between the two teams; E.g. a Software…
Motivation; Well, if you want to play with data and deal with complex analytics problems then Python is the best for you. We can use Python for developing complex scientific and numeric apps. Python is designed with features to facilitate data analysis and visualization. The syntax in Python helps the programmers to do coding in fewer steps as compared…
Motivation: It’s all about the different methods used in data science. Data Science Methodology: There is the following methodology used in data science which can further categories into different phases; From Problem to Approach Business Understanding Analytical Approach Working with Data Data Requirements Data Collection Data Understanding Data Preparation Deriving the Answer Modeling Evaluation Development Feedback…
Motivation Well, if we talk about a human cell sample extracted from a patient. The cell would have some characteristics. One of the interesting questions we can ask, what kind of statistics that cell have? One could easily presume that only a doctor with years of experience could diagnose a tumor and say if the patient is…
Motivation In Machine Learning, all types including supervised, unsupervised and reinforcement learning have their own way of implementation. Let’s do hands-on with them; Supervised Learning It’s the “Task Driven” (Predict next value). Here, we teach the model! then with that knowledge, it can predict unknown or future instances. Let’s implement the simple code in the jupeter…