Agile Methodology For data scientist?

What is Agile Methodology? AGILE methodology is a practice that promotes continuous iteration of development and testing throughout the software development lifecycle of the project. Both development and testing activities are concurrent unlike the Waterfall model. The agile software development emphasizes on four core values. Individual and team interactions over processes and tools Working software over comprehensive…

The Basics of Bayesian Statistics

Bayesian statistics mostly involves conditional probability, which is the the probability of an event A given event B, and it can be calculated using the Bayes rule. The concept of conditional probability is widely used in medical testing, in which false positives and false negatives may occur. A false positive can be defined as a positive outcome on…

Markov Chains

A popular model for systems that change over time in a random manner is theMarkov chain model. A Markov chain is a sequence of random variables, one foreach time. At each time, the corresponding random variable gives the state of thesystem. Also, the conditional distribution of each future state given the past statesand the present…

Understanding Joins

Join Fundamentals By using joins, you can retrieve data from two or more tables based on logical relationships between the tables. Joins indicate how SQL Server should use data from one table to select the rows in another table. A join condition defines the way two tables are related in a query by: Specifying the…

Using Tensorflow estimator API to not write Boilerplate codes

What we are doing here : predicting price of taxifare dataset. We are using tensorflow and the high level estimator API . As we know machine learning is a very buzz words now a days and we strongly believe that everyone should needs to know the nuts and and bolts of machine learning so without…

Azure Machine Learning

A workspace is a context for the experiments, data, compute targets, and other assets associated with a machine learning workload. Workspaces for Machine Learning Assets A workspace defines the boundary for a set of related machine learning assets. You can use workspaces to group machine learning assets based on projects, deployment environments (for example, test…

Azure SQL Database to store App data

Managing data is a critical component of any business. Relational databases, and specifically Microsoft SQL Server, have been among the most common tools for handling that data for decades. If we want to manage our data using the cloud, we can just use Azure virtual machines to host our own Microsoft SQL Server instances. Sometimes that’s the…

Understand The Service Azure Provides for Data Engineers

Even the most experienced data engineer can feel overwhelmed by the range of data platform technologies in Microsoft Azure. In diverse scenarios and industries, data engineers must solve complex data problems to provide business value through data. By understanding the data types and capabilities of the data platform technologies, a data engineer can pick the…

Data Mining Concepts in SQL SERVER 2014

Data mining is the process of discovering actionable information from large sets of data. Data mining uses mathematical analysis to derive patterns and trends that exist in data. Typically, these patterns cannot be discovered by traditional data exploration because the relationships are too complex or because there is too much data. These patterns and trends…