Why Weka provides the best machine learning experience for newbie AI enthusiasts without coding experience

After starting out my machine learning journey using Python libraries and TensorFlow on Google Cloud Platform, all of which require some degree of coding knowledge, I wanted to know if there was a way to apply the same methodologies such that tasks like data classification could be done without carrying…


How to evaluate the extent of a linear relationship between two variables in a dataset using R

Borrowed from the domain of statistics, linear regression is a handy model with emerging popularity in machine learning algorithms. Particularly useful for predictive analytics, the goal is to make the most accurate predictions possible based on historical data. Linear regression models the relationship between independent and dependent variables.

When one…


How Python can aggregate data consumption on a month-to-month basis and prevent hours of manual calculations

When it comes to project planning, knowing if your database or dedicated network share is capable of handling increased data load is essential to avoiding performance failures. While back-end pipeline development, data engineering and infrastructure maintenance isn’t quite as ‘hot’ as data science, machine learning or analytics nowadays, it’s really…


How to gauge what Twitter users are feeling about any particular topic

For data scientists (like myself) who have started moving into the realm of R in addition to Python or SQL, we have appreciated the ease with which it’s possible to quickly analyze and visualize data through many built-in packages. However, when I started to find efficient ways of extracting data…


How merging rather than looping through large dataframes can significantly improve your program performance

When it comes to iterating through large volumes of rows in Pandas dataframes, many of us have impatiently waited for our program to finish looping, sometimes row by row for painstakingly long periods of time. …


Canadian filmmaker Nisha Pahuja talks about her vision for The World Before Her, which follows two very different women — Ruhi Singh, a Miss India pageant contestant, and Prachi Trivedi, a Hindu nationalist with the Durga Vahini, a nationalist training camp. Released in 2012, the feature-length, Emmy-nominated documentary uncovers some realities of living as a woman in India. With its mainstream launch this summer, Ms. Pahuja screened the film India-wide as part of an intensive, six-month awareness campaign.

Q. Tell us about your ultimate goal for impact — what do you hope to achieve through screening The World Before Her across schools, community centres and villages across India?

A. After the Delhi Gang rape in 2012, I was determined to share the film with audiences in India as…


Montreal-based director Yung Chang talks about his upcoming projects, sources of inspiration, and signature cinematic style. Mr. Chang’s feature-length documentary, Up the Yangtze, was among the top-grossing documentaries of 2008.

Q. In Up the Yangtze, you document the lives of individuals deeply affected by the construction of China’s famous Three Gorges Dam. Throughout the film viewers are flies-on-the-walls to extremely personal conversations between family members. How does this almost intrusive access play into your goals as a filmmaker? …

Vajiha Sipra

Always learning / Making sense of the world through analytics / Technology, AI, journalism, data science / https://www.linkedin.com/in/vajiha-sipra-83842224/

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