What To Know About The Essence Of AI In Video Editing In 2020

Artificial intelligence is playing a very important role in the future of video editing. Anybody that works in the profession should learn how to use AI technology to get the most value out of their videos.
How can you use AI to benefit as a video editor? Intelligent HQ founder Dinis Guarda has talked about some of the benefits of artificial intelligence for video editing in this article.

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Predictive Analytics Advances Rewrite Rules On Corporate Conferences

In years past, it was quite the cumbersome task to put together corporate conferences for the dissemination of important information and trends among industry stakeholders. It was only within the last few years that advancements in technology have provided efficient ways to bring large groups of stakeholders together for them to share information.

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Deep Learning Sentiment Analysis for Movie Reviews using Neo4j

While the title of this article references Deep Learning, it’s important to note that the process described below is more of a deep learning metaphor into a graph-based machine learning algorithm. No neural networks are used. Sentiment analysis uses natural language processing to extract features of a text that relate to subjective information found in source materials.

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5 reasons why graph visualization matters

Why is graph visualization so important? How can it help businesses sifting through large amounts of complex data? We explore the answer in this post through 5 advantages of graph visualization and different use cases.
What is graph visualization
Also called network, a graph is a collection of nodes (or vertices) and edges (or links).

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Evaluating and Testing Unintended Memorization in Neural Networks

It is important whenever designing new technologies to ask “how will this
affect people’s privacy?” This topic is especially important with regard to
machine learning, where machine learning models are often trained on sensitive
user data and then released to the public.

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Ergodicity In The World Of IoT

Ergodicity is one of the most important concepts in statistics. More importantly, it has a lot of real world applications. In this case, it’s applicable to the staggering number of internet connected devices in the world of Internet of Things (IoT). Most of the experiments conducted by research labs, businesses, and marketing agencies often rely on statistics to compile the results.

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Thursday Tweets (because it’s been that kind of week)

Reveal does important work, which makes this all the more appalling. “Planet Aid’s actions in its lawsuit against Reveal are a manifest example of what deep-pocketed interests can do to a news organization even when the facts are on the journalists’ side.” https://t.co/Tf1tbguzHu Three years and millions of dollars in legal fees fighting this.

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De l’abus de notation dans les modèles de régression

De manière un peu rituelle, je commence toujours mon cours de régression en revenant sur un point important de la statistique : les abus de notation !  Car tout le monde utilise les mêmes lettres (surtout les grecques) pour désigner des objets de nature différente. Dans la majorité des livres, on pourra nous dire sur la même page que widehat{theta}=2.35 et que text{Var}(widehat{theta})=1.

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Building Spring Cloud Microservices That Strangle Legacy Systems

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Event Sourcing in Microservices Using Spring Cloud and Reactor

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Creating a PageRank Analytics Platform Using Spring Boot Microservices

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Calculating exclusion limits for a new theory in hardcore science

Calculating exclusion limits for a new theory in hardcore science
In many fields of science, it is important to understand the relevance of new theories or hypotheses in a description of experimental data, assuming that such data are already well represented by predictions of some well-accepted theory.

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Paper: A Differentiable Physics Engine for Deep Learning in Robotics

Abstract:
One of the most important fields in robotics is the optimization of controllers. Currently, robots are often treated as a black box in this optimization process, which is the reason why derivative-free optimization methods such as evolutionary algorithms or reinforcement learning are omnipresent.

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Compounding benefits of tax protected accounts

Here, we highlight one of the most important benefits of tax protected accounts (eg Traditional and Roth IRAs and 401ks). Specifically, we review the fact that not having to pay taxes on any investment growth that occurs while the money is held in the account results in compounding / exponential growth with a larger exponent than would be obtained in a traditional account.

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Prediction intervals for Random Forests

An aspect that is important but often overlooked in applied machine learning is intervals for predictions, be it confidence or prediction intervals. For classification tasks, beginning practitioners quite often conflate probability with confidence: probability of 0.5 is taken to mean that we are uncertain about the prediction, while a prediction of 1.

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