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Nigeria orders broadcasters not to use Twitter to gather information

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ABUJA (Reuters) – Nigerian television and radio stations should not use Twitter to gather information and have to de-activate their accounts, the broadcast authority said following the move to suspend the U.S. social media giant in Africa’s most populous country.

Nigeria’s government on Friday said it had suspended Twitter’s activities, two days after the platform removed a tweet by President Muhammadu Buhari that threatened to punish secessionists. Nigerian telecoms firms have since blocked access to Twitter.

International diplomats responded with a joint statement in support of “free expression and access to information as a pillar of democracy in Nigeria”.

Buhari, who was Nigeria’s military ruler in the 1980s, has previously been accused of cracking down on freedom of expression, though his government has denied such accusations.

Twitter has called its suspension “deeply concerning” and said it would work to restore access for all those in Nigeria who rely on the platform to communicate and connect with the world.

The National Broadcasting Commission, in a statement dated June 6, told broadcasters to “suspend the patronage of Twitter immediately”.

“Broadcasting stations are hereby advised to de-install Twitter handles and desist from using Twitter as a source of information gathering,” it said in the statement, adding that “strict compliance is enjoined”.

The statement comes two days after the attorney general ordered the prosecution of those who break the rules on the ban.

The foreign minister on Monday held a closed door meeting in the capital, Abuja, with diplomats from the United States, Britain, Canada, the European Union and Ireland to discuss the ban.

It followed the statement by their diplomatic missions on Saturday in which they criticised the move.

“These measures inhibit access to information and commerce at precisely the moment when Nigeria needs to foster inclusive dialogue…. as well as share vital information in this time of the COVID-19 pandemic,” they said in their statement.

Nigeria’s information minister on Friday said the ban would be “indefinite” but, in a statement late on Sunday, referred to it as a “temporary suspension”.

The minister did not immediately respond to phone calls and text messages on Monday seeking comment on the altered language.

(Reporting by Camillus Eboh and Abraham Achirga in Abuja; Writing by Alexis Akwagyiram; Editing by Alex Richardson)

Image Credit: Reuters

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Source: https://datafloq.com/read/nigeria-orders-broadcasters-use-twitter-gather-information/15236

Big Data

If you did not already know

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Familia google


In the last decade, a variety of topic models have been proposed for text engineering. However, except Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet Allocation (LDA), most of existing topic models are seldom applied or considered in industrial scenarios. This phenomenon is caused by the fact that there are very few convenient tools to support these topic models so far. Intimidated by the demanding expertise and labor of designing and implementing parameter inference algorithms, software engineers are prone to simply resort to PLSA/LDA, without considering whether it is proper for their problem at hand or not. In this paper, we propose a configurable topic modeling framework named Familia, in order to bridge the huge gap between academic research fruits and current industrial practice. Familia supports an important line of topic models that are widely applicable in text engineering scenarios. In order to relieve burdens of software engineers without knowledge of Bayesian networks, Familia is able to conduct automatic parameter inference for a variety of topic models. Simply through changing the data organization of Familia, software engineers are able to easily explore a broad spectrum of existing topic models or even design their own topic models, and find the one that best suits the problem at hand. With its superior extendability, Familia has a novel sampling mechanism that strikes balance between effectiveness and efficiency of parameter inference. Furthermore, Familia is essentially a big topic modeling framework that supports parallel parameter inference and distributed parameter storage. The utilities and necessity of Familia are demonstrated in real-life industrial applications. Familia would significantly enlarge software engineers’ arsenal of topic models and pave the way for utilizing highly customized topic models in real-life problems. …

Median Absolute Deviation (MAD) google


In statistics, the median absolute deviation (MAD) is a robust measure of the variability of a univariate sample of quantitative data. It can also refer to the population parameter that is estimated by the MAD calculated from a sample. Consider the data (1, 1, 2, 2, 4, 6, 9). It has a median value of 2. The absolute deviations about 2 are (1, 1, 0, 0, 2, 4, 7) which in turn have a median value of 1 (because the sorted absolute deviations are (0, 0, 1, 1, 2, 4, 7)). So the median absolute deviation for this data is 1. …

Temporal Recurrent Network (TRN) google


Most work on temporal action detection is formulated in an offline manner, in which the start and end times of actions are determined after the entire video is fully observed. However, real-time applications including surveillance and driver assistance systems require identifying actions as soon as each video frame arrives, based only on current and historical observations. In this paper, we propose a novel framework, Temporal Recurrent Networks (TRNs), to model greater temporal context of a video frame by simultaneously performing online action detection and anticipation of the immediate future. At each moment in time, our approach makes use of both accumulated historical evidence and predicted future information to better recognize the action that is currently occurring, and integrates both of these into a unified end-to-end architecture. We evaluate our approach on two popular online action detection datasets, HDD and TVSeries, as well as another widely used dataset, THUMOS’14. The results show that TRN significantly outperforms the state-of-the-art. …

CDF2PDF google


CDF2PDF is a method of PDF estimation by approximating CDF. The original idea of it was previously proposed in [1] called SIC. However, SIC requires additional hyper-parameter tunning, and no algorithms for computing higher order derivative from a trained NN are provided in [1]. CDF2PDF improves SIC by avoiding the time-consuming hyper-parameter tuning part and enabling higher order derivative computation to be done in polynomial time. Experiments of this method for one-dimensional data shows promising results. …

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Source: https://analytixon.com/2021/06/13/if-you-did-not-already-know-1421/

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Big Data

Predict Future Sales using XGBRegressor

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XGBRegressor |Predict Future Sales using XGBRegressor





















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Source: https://www.analyticsvidhya.com/blog/2021/06/predict-future-sales-using-xgbregressor/

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Decoding the Chi-Square Test - Use, Implementation and Visualization

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Chi-Square Test - Use, Implementation and Visualization





















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Source: https://www.analyticsvidhya.com/blog/2021/06/decoding-the-chi-square-test%e2%80%8a-%e2%80%8ause-implementation-and-visualization/

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Anonymous or Lambda Functions in Python: A Beginner’s Guide!

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Lambda Functions in Python: A Beginner’s Guide! – Analytics Vidhya





















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Source: https://www.analyticsvidhya.com/blog/2021/06/anonymous-or-lambda-functions-in-python-a-beginners-guide/

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