It is becoming increasingly common for organizations to collect very large amounts of data over time, and to…Continue
Added by Sharmistha Chatterjee on November 19, 2020 at 12:22am — No Comments
Meet two text mining experts in today’s interview, which explores some of the common issues faced by data scientists in text analytics. Prof. Dursun Delen and…Continue
Added by Rosaria Silipo on November 15, 2020 at 12:16am — No Comments
After a few biostatistics classes, I began fitting my first logistic regression model using my physician friend’s data on tumors excised from skin cancer patients. I realized that although we were very clear about the dependent variable we were trying to predict – a certain feature of the tumor – I really did not know how to pick the independent…Continue
The emergence of automation has posed a concern for data scientists--will it eventually replace them?
But there is no cause to worry as the eventuality will never happen. Instead, automation will help data scientists to improve the results they derive from analyzing vast amounts of data.
When it comes to the marriage between…Continue
Added by Evan Morris on November 11, 2020 at 10:01pm — No Comments
Covariance and correlation are two of the most significantly used terms in the field of statistics and probability. Both are concepts that describe the relationship between two random variables to each other.…Continue
Added by Ram Tavva on November 11, 2020 at 2:20am — No Comments
11 Nov, 2020, Washington D.C.: Since the launch of the World Data Science Initiative (WDSI) in January of 2020 institutions in more than 20 countries have applied to be a part of the initiative, which is the world’s biggest ever talent development project in Data Science. The African continent can now boast its first institution to join the initiative; University of Rwanda.…Continue
Added by Aileen Scott on November 11, 2020 at 2:10am — No Comments
With the digital world growing competitive by the day, everyone is trying to understand their customers better and make finance, product development, and marketing decisions based on real data for a better return on investment (ROI). If you don’t make use of data, there is a chance you will lag behind or, at least, use more money and energy to keep up with your data-driven competitors. That said, data needs to be accurate and of high quality to be useful. Bad data is inaccurate, unreliable,…Continue
Added by Indhu on November 10, 2020 at 9:44pm — No Comments
Nearly everybody wants to invest their recreation energy to watch motion pictures with their loved ones. We as a whole have a similar encounter when we sit on our lounge chair to pick a film that we will watch and go through the following two hours yet can't discover one following 20 minutes. It is so baffling. We unquestionably need a PC operator to give film proposals to us when we have to pick a film and spare our time.
Evidently, a film suggestion specialist has just…Continue
Added by Sriram K on November 2, 2020 at 6:00am — No Comments
Here are some of the things a company can do to improve the quality of the information it collects:
1. Data Governance plan
A good data governance plan should not only talk about…Continue
Added by Indhu on October 26, 2020 at 11:30pm — No Comments
Most companies have big data but are unaware of how to use it. Firms have started realizing how important it is for them to start analyzing data to make better business decisions.
With the help of big data analytics tools, organizations can now use the data to harness new business opportunities. This is return will lead to smarter business leads, happy customers, and higher profits. Big data tools are crucial and can help an organization in multiple ways – better decision making,…Continue
Added by Aileen Scott on October 20, 2020 at 2:00am — No Comments
The demand and the supply gap for a data scientist are ever-increasing. In fact, in one of its surveys, IBM predicts increment in data science jobs to be 364,000 to 2720,000 in 2020 which is only going upwards in the subsequent years. Python, as a programming language, is immensely popular for building data science-based applications owing to its simplicity, and large community support and ease of deployment.
Our Data Science with Python online course has been…Continue
Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…Continue
Added by Sharmistha Chatterjee on October 17, 2020 at 10:30pm — No Comments
Added by Barr Moses on October 15, 2020 at 1:30pm — No Comments
COVID-19 is changing consumer behavior and driving more people to shop online. At BigBasket alone, we have witnessed a surge in demand by 5X – 6X during the initial days of the lockdown in India. While the pandemic has driven the global demand for essentials and goods online, it has also brought on some new challenges for the e-commerce industry.
Added by Avinash Udaykumar on October 12, 2020 at 11:00pm — No Comments
The financial world is a field of data, and the entire industry is reliant on data and figures. The fintech industry is rapidly evolving and revolves around numerous complicated transactions. Relying on century-old…Continue
Added by Varun Bhagat on October 7, 2020 at 2:30am — No Comments
C++ is ideal for dynamic load balancing, adaptive…Continue
Added by Diego Lopez Yse on September 19, 2020 at 2:00pm — No Comments
Added by Diego Lopez Yse on September 19, 2020 at 1:30pm — No Comments
Data science is a collective pool of various algorithms, tools, machine learning principles that work in unison to extract hidden patterns from raw data. It requires a diverse set of skills and demands knowledge from aspects of mathematics, science, communication, and business. Honing a diverse skill set, data scientists gain the ability to analyze numbers and influence decisions.
The core objective of data scientists lay in bridging the gap between numbers and actions by using the…Continue
Added by Niranjan on September 11, 2020 at 12:30am — No Comments