Joined September 2019
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1,141 Photos and videos
29 Nov 2020
Scientists at #TokyoInstitute of Know-how (Tokyo Tech) devise a system that mixes #robotics and synthetic intelligence to totally automate the routine elements of synthesizing, testing, and optimizing new supplies in line with fabrication situations. π€― π―
28 Nov 2020
How users formulate their first interaction with a #chatbot is therefore crucial for how the interaction unfolds. It is the most open request for expression, and the most essential to the success of the interaction. π§
Source: buff.ly/2IY82JW #ml #ai #nlp #automation
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27 Nov 2020
Deep learning techniques such as convolutional neural networks (CNNs) are transformative ML techniques that enable rapid and accurate image discrimination and classification and as such have many applications within medicine. π¬
Source: buff.ly/3lPDjgG
26 Nov 2020
Having the benefit of enormous #data sets, modern #AI neural networks often exceed human performance in many tasks which includes pattern recognition and even playing games like chess, previously a very difficult goal for AI. ππ»βοΈ
Source: buff.ly/2IYU5fc
25 Nov 2020
The most important concept in Machine Learning is the three sets (training, validation, and test set). ππ»β
Source: buff.ly/3379iS5
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24 Nov 2020
Supervised machine learning in practice vs. during development π‘
Source: buff.ly/3kVgIy7 #machinelearning #supervisedlearning
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23 Nov 2020
When you use AI or ML to predict growth... π
#ml #ai #artificialintelligence #machinelearning #memeoftheday #aimemes #mlmemes
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22 Nov 2020
#BigData is about how these data can be stored, processed, and comprehended with an aim of using it in expecting the action in future with a reasonable accuracy and allowable time delay. β
Source: buff.ly/3kKF1yy
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21 Nov 2020
Social data and the #BigData pipeline ππ» Huge amounts of social #data are now critical sources of Big Data. π‘
Source: buff.ly/2ICv5dG
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20 Nov 2020
Reducing the opportunities for #HumanError through #automation strategies improves #factory efficiency and product quality. Personnel can focus on #problemsolving and more complicated tasks which are better suited to humans than #software.
Source: buff.ly/3f7S9wo
18 Nov 2020
A breakdown of the differences between Supervised, Unsupervised, and Reinforcement Learning. π‘
Source: buff.ly/3pA3IS7
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17 Nov 2020
Cognitive Services are a collection of #artificialintelligence #RESTAPIs. With #Cognitive Services, #developers can easily add intelligent features into their #applications. ππ»
Source: buff.ly/3kztxOn
16 Nov 2020
Machine Learning Solutions Decision Tree π―
Source: buff.ly/3kztxOn #machinelearning #ml #deeplearning #ai #ArtificialIntelligence #decisiontree
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15 Nov 2020
Seeking a solution to a #datascience problem? Notebooks offer an interactive environment to work and share code with others.
Here are the best open source solutions, according to LinuxLinks.com ππ»
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14 Nov 2020
Data Science includes extrapolating helpful data from gigantic stores of measurements, registers, and information.
#Python fills this need by being a universally useful #programminglanguage. β
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13 Nov 2020
Hereβs one way to visualize the data science workflow ππ»π‘
12 Nov 2020
Approximate timeline for data science competency ππ»
However, these are approximate values only. The amount of time required to gain a certain level of competence still depends on the level of effort & background. π―
Source: buff.ly/2I3nWlG
11 Nov 2020
It comes as no surprise that the music industry is tough. When you decide to invest in a campaign for a song there are many factors to take into account. What if #datascience could help predict whether a song is going to be a hit or not? π
Read more at buff.ly/3eBtTTb
10 Nov 2020
The development and deployment of models employs a sequential process that resembles the #Waterfall methodology used in #softwaredevelopment. π§
Source: buff.ly/3eAsqfM
