#Machine_learning

[edujournalblogs]

Data Cleaning in Data Science

Data cleaning is an integral part of data preprocessing viz., removing or correcting inaccurate information within a data set. This could mean missing data, spelling mistakes, and duplicates to name a few issues. Inaccurate information can lead to issues during analysis phase if not properly addressed at the earlier stages.

Data Cleaning vs Data Wrangling : Data cleaning focuses on fixing inaccuracies within your data set. Data wrangling, on the other hand, is concerned with converting the data’s format into one that can be accepted and processed by a machine learning model.

Data Cleaning steps to follow :

Remove irrelevant data

Resolve any duplicates issues

Correct structural errors if any

Deal with missing fields in the dataset

Zone in on any data outliers and remove them

Validate your data

At EduJournal, we understand the importance of gaining practical skills and industry-relevant knowledge to succeed in the field of data analytics / data science. Our certified program in data science and data analytics is designed to equip freshers / experienced with the necessary expertise and hands-on experience experience so they are well equiped for the job.

URL : http://www.edujournal.com

[dridhon]

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[afenvending]

(Export to Kazakhstan)Bean to cup +snacks and cold drinks vending machine

[phonemantra-blog]

Almost all parameters are unknown The Chinese company Loongson produces not only some of the most modern Chinese processors, but also GPUs. And its new development is designed to compete with Nvidia accelerators for AI, although they are far from the most productive and modern. [caption id="attachment_85288" align="aligncenter" width="600"] Loongson introduced LG200 AI accelerator[/caption] The accelerator (or its GPU) is called LG200. The characteristics of this solution, unfortunately, are unknown. The block diagram shows that the GPU consists of 16 small ALUs, four large ALUs, and one huge ALU or special purpose unit. Loongson introduced LG200 AI accelerator But the performance is known, albeit for the whole node: from 256 GFLOPS to 1 TFLOPS. Here, unfortunately, the details are again unknown, so it is unclear for which mode the performance is indicated, but even if it is FP64, the figure is quite modest, since modern monsters Nvidia and AMD offer 50-60 TFLOPS or more. At the same time, Loongson’s solution is a GPGPU, that is, it supports general-purpose computing. Unfortunately, there are no details here yet. Separately, we can recall that Loongson promised next year to release a video card that can compete with the Radeon RX 550 , whose performance (FP32) is just over 1.1 TFLOPS. It is possible that the LG200 will be a direct relative of this adapter.

[devsnews]

This blog post will explore the basics of the KNN algorithm and its implementation using Python’s Scikit-Learn library, which provides an efficient implementation of KNN that can easily handle large datasets.

[bestsuggestionss]

Machine learning as a service (MLaaS) is a cloud-based platform that provides businesses and developers with access to machine learning tools and algorithms on a pay-per-use or subscription basis.

[jobrxiv]

PhD position in Quantitative Ecology at the University of Kentucky University of Kentucky See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-kentucky-27778-phd-position-in-quantitative-ecology-at-the-university-of-kentucky/?feed_id=82694 #applied_mathematics #ecology #machine_learning #ScienceJobs #hiring #research

[a-dragons-art-blog]

Adobe ToS update

4.2: Licenses your content. solely for the purposes of operating or improving the Services and Software, you grant us a non-exclusive, worldwide, royalty-free sublicensable, license, to use, reproduce, publicly display, distribute, modify, create derivative works based on, publicly perform, and translate the Content. For example, we may sublicense our right to the Contents to our service providers or to other users to allow the Services and Software to operate as intended, such as enabling you to share photos with others. Separately, section 4.6 (Feedback) below covers Feedback that you provide for us.

2.2 Our Access to Your Content. We may access, view, or listen to your Content (defined in section 4.1 (Content) below) through both automated and manual methods, but only in limited ways, and only as permitted by law. For example, in order to provide the Services and Software, we may need to access, view, or listen to your Content to (A) respond to Feedback or support requests; (B) detect, prevent, or otherwise address fraud, security, legal, or technical issues; and (C) enforce the Terms, as further set forth in Section 4.1 below. Our automated systems may analyze your Content and Creative Cloud Customer Fonts (defined in section 3.10 (Creative Cloud Customer Fonts) below) using techniques such as machine learning in order to improve our Services and Software and the user experience. Information on how Adobe uses machine learning can be found here: http://www.adobe.com/go/machine_learning

Why adobe sending me annon hate?

[voidhunting]

Adobe ToS update 4.2: Licenses your content. solely for the purposes of operating or improving the Services and Software, you grant us a non-exclusive, worldwide, royalty-free sublicensable, license, to use, reproduce, publicly display, distribute, modify, create derivative works based on, publicly perform, and translate the Content. For example, we may sublicense our right to the Contents to our service providers or to other users to allow the Services and Software to operate as intended, such as enabling you to share photos with others. Separately, section 4.6 (Feedback) below covers Feedback that you provide for us.

2.2 Our Access to Your Content. We may access, view, or listen to your Content (defined in section 4.1 (Content) below) through both automated and manual methods, but only in limited ways, and only as permitted by law. For example, in order to provide the Services and Software, we may need to access, view, or listen to your Content to (A) respond to Feedback or support requests; (B) detect, prevent, or otherwise address fraud, security, legal, or technical issues; and (C) enforce the Terms, as further set forth in Section 4.1 below. Our automated systems may analyze your Content and Creative Cloud Customer Fonts (defined in section 3.10 (Creative Cloud Customer Fonts) below) using techniques such as machine learning in order to improve our Services and Software and the user experience. Information on how Adobe uses machine learning can be found here: http://www.adobe.com/go/machine_learning

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[edujournalblogs]

Benefits of Big Data in insurance sector

The insurance industry, as we know is founded on estimating futurestic events and accessing the risk and value for these events whick by the way require massive datasets with data from sensors, government, customer interactions and social media etc., Today big data technology has been comprehensively used to determine risks, claims, etc., with high levels of predictive accuracy. Big Data are useful in the insurance sector for the following reasons:

Risk Assessment

Understanding of customer behavior,habits, needs to anticipate future behavior and offer relevant products.

Improve Fraud Detection and criminal activity through predictive modelling

Provide targetted products and services.

Check out our master program in Data Science, Data Analytics and ASP.NET- Complete Beginner to Advanced course and boost your confidence and knowledge.

URL: www.edujournal.com

[dridhon]

#training#programming#python#pythonprogramming#programmingmemes#trainingcamp#pythons#pythoncode#pythontraining#programmings#linux#php#developer#coder#html#javascript#trainning#programmers#webdeveloper#softwaredeveloper#programmer#codinglife#softwareengineer#computerscience#reactjs#angular#programmerlife#nodejs#artificial_intelligence#machine_learning

[phonemantra-blog]

But you need two video cards Nvidia DLSS and AMD FSR upscalers have their own variants of frame generation technology, which work differently and are available on different video cards. But it turns out that these technologies can be made to work together. [caption id="attachment_85199" align="aligncenter" width="780"] Nvidia DLSS 3 and AMD FSR 3[/caption] The authors from QuasarZone decided to check whether it would be possible to make the HR generation technologies of two companies work on one PC, and it turned out that it would work. But only in a very specific way, and the results are ambiguous. [caption id="attachment_85200" align="aligncenter" width="780"] Nvidia DLSS 3 and AMD FSR 3[/caption] Frame generation technologies in Nvidia DLSS 3 and AMD FSR 3 forced to work together This all works thanks to the fact that AMD has an AFMF generator built into the driver, otherwise it probably would not have been possible to implement the idea. However, the system must still have two different 3D maps. In this case, the authors of the idea used the RTX 4090 and RX 6600. The game (in this case, several projects, including Cyberpunk 2077) was rendered on an RTX 4090 card. It also allowed DLSS 3 to be activated with frame generation. Next, the RX 6600, to which the monitor is connected, comes into operation. Technically it is used for image output, but the AMD driver allows you to improve performance through AFMF before outputting the image. That is, the AMD frame generator adds frames to a picture that the Nvidia generator had previously added frames to. At the same time, productivity increases greatly. Almost three times the original value and twice the value obtained after the generator in DLSS 3. This implementation, surprisingly, does not cause any special technical problems. Is it possible that the 1% Low indicator may even decrease in a number of games, although in Cyberpunk it has increased. In addition, it is worth remembering that AFMF technology turns off as soon as the player starts moving the camera quickly, but in quiet modes it automatically turns back on. Unfortunately, the authors did not pay attention to image quality, which is very important, given two technologies for completing frame drawing.