#AnalyticalTools

[susanlabnic]

Digital Microscope 45°

Labnic Digital Microscope offers 40x–1000x magnification, a 23.2mm monocular eyepiece, and a 360° rotating, 45° inclined head. Equipped with a quadruple nosepiece, mechanical stage, and coaxial focusing with a safety stop screw for accurate adjustments.

[govindhtech]

Dataflux: Efficient Data Loading for Machine Learning

Dataflux Data Management Server

Large datasets are ideal for machine learning (ML) models, and quick data loading is essential for ML training that is affordable. They created the Dataflux Dataset, a PyTorch Dataset abstraction, to speed up the loading of data from Google Cloud Storage. With small files, Dataflux offers up to 3.5 times faster training times than fsspec.

With the release of this product, Google has demonstrated its support for open standards through more than 20 years of OSS contributions, including TensorFlow, JAX, TFX, MLIR, KubeFlow, and Kubernetes. It has also sponsored important OSS data science projects, like Project Jupyter and NumFOCUS.

Similar speed benefits were also observed when google cloud verified the Dataflux Dataset on Deep Learning IO (DLIO) benchmarks, even with bigger files. Google Cloud advise utilising Dataflux Dataset for training workflows instead of alternative libraries or making direct calls to the Cloud Storage API because of this significant performance gain.

Feature-rich Dataflux Dataset attributes include

Direct integration with cloud storage: Get rid of the requirement to download data locally first.

Optimise performance to attain up to 3.5 times quicker training times, particularly for smaller files.

PyTorch Dataset primitive: Easily integrate with well-known PyTorch ideas.

Support for checkpointing: Import and export model checkpoints straight to and from cloud storage.

How to Use Dataflux Datasets

Requirements: Python 3.8 and above

Installing gcs-torch-dataflux requires $ pip.

Use the Google Cloud application’s default authentication for authentication.

For instance, loading photos for instruction

The Dataflux Dataset can be enabled with just a few simple adjustments. It is quite probable that you have created your own Dataset implementation if you use PyTorch and have data stored in cloud storage. The Dataflux Dataset creation process is exemplified in the sample below.

Under the engine

Google tackled the data-loading performance limitations in ML training workflows to obtain such large performance gains for it. During a training run, data is processed and then sent from CPU to GPU for ML-Training calculations after being loaded in batches from storage. Longer training times result from the GPU being essentially blocked and underutilised if reading and building a batch takes longer than GPU processing.

It takes longer to retrieve data from a cloud-based object storage system (such as Google Cloud Storage) than it does from a local disc, particularly if the data is contained in little objects. The cause of this is latency from the first byte. However, the cloud storage infrastructure offers rapid throughput once an object is “opened.” Google used a Cloud Storage function in Dataflux called Compose items, which allows us to dynamically merge multiple smaller items into a larger one.

Subsequently, they download 30 larger objects to memory and merely fetch the remaining 1024 little objects (batch size). Following their breakdown into their component smaller objects, the bigger objects are once again used as dataset samples. During the procedure, all temporarily constructed objects are likewise cleared out.

High-throughput parallel-listing is another optimisation used by this Datasets to expedite the basic metadata required for the dataset. In order to greatly speed up listings, Dataflux uses a sophisticated mechanism called work-stealing. Even on datasets with tens of millions of objects, the initial AI training run, or “epoch,” is faster with this method than it is with Dataflux Datasets without parallel-listing.

Fast-listing and dynamic composition work together to guarantee that GPU delays during ML training with Dataflux are kept to a minimum, resulting in much shorter training times and higher accelerator utilisation.

The Dataflux Client Libraries include fast-listing and dynamic composition, which may be accessed on GitHub. Below the surface, Dataflux Dataset makes use of these client libraries.

Unfortunately, there is some ambiguity in the term “Dataflux Dataset futures”. Two meanings are possible:

Dataflux

This can be a reference to the Dataflux firm. It’s hard to tell if such a company exists and what it does with datasets without more information. It is also likely that the term “Dataflux” refers to the flow of data in a broader meaning.

Futures of Datasets

This could be a reference to datasets generally. This idea is more intriguing. Here are some concepts regarding datasets’ future:

Enhanced Volume and Variety

There will likely be a significant rise in the quantity of data gathered. A greater variety of sources, such as social media, sensors, and the Internet of Things (IoT), will provide this data.

Put Quality and Security First

As datasets get larger, it will be increasingly more important to make sure they are secure and of high quality. Anonymization, privacy protection, and data cleansing techniques will be essential.

Advanced Analytics

To extract insights from large and complicated datasets, new analytical tools and methodologies will be developed. Machine learning and artificial intelligence will progress as a result.

Standardisation and Interoperability

To facilitate the sharing and integration of datasets across various platforms and applications, there will probably be a push for more standardised data formats and protocols.

Read more on govindhtech.com

[bloggriffin]

Do you want your business to flourish?" everyone want that ,but the real question is "DO YOU KNOW THE RIGHT TOOLS TO ANALYSE YOUR BUSINESS?" Not to worry we got all that covered up .    

Do you know that there are more than 50k registered businesses in India and there will be 50k more by 2024 .-according to India Economic Summit. everyone wants to thrive in this cut throat competition but adopting the right tools to do the Business Analysis have been of utmost priority  

 Are you strategies not working out as you want them to be ?

 In  this cut-throat competition you cannot waste time on unproductive tools , know 8 Most popular Business tools which has been used by many reputed Business Analysts in the past to analyse the business from every perspective possible and see the results in no time . 

[incegna]

Learn Data Visualization Using Tableau.Learn Data Visualization and Analytics Using Tableau from the basic to advanced level using Real-Life Projects.Learn Data Preparation, such as: converting data types, split columns, converting measures to dimensions and more. Interested people can share me your details. #Tableau,#datavisualization,#analytics,#datatypes,#splitcolumns,#datablending,#analyticaltools,#dualaxis,#datascience,#Aggregation,#Granularity,#ScatterPlot,#TreeMap,#heatmap,#motionchart Check our Info : www.incegna.com Reg Link for Programs : http://www.incegna.com/contact-us Follow us on Facebook : www.facebook.com/INCEGNA/? Follow us on Instagram : https://www.instagram.com/_incegna/ For Queries : enquiry@incegna.com https://www.instagram.com/p/B6kzMwnAytt/?igshid=1xkxz7tp1d67a

[flupertech]

Measuring the #success of your app #assists you maintain a track of its #valuations, as well as #performance, for your app. There are dissimilar #metrics that can be used to #calculate the app’s success. But, you might go for #analytics tools, which offer more #believable outcomes by #eradicating the human error.

Click Here: https://bit.ly/2T2IUVL

[wetalktrade]

A change is difficult to accustom in the beginning. If you do adapt to it quickly, then you gain an advantage over others.

[tradersir]

6 Common Misconceptions of Forex Traders https://www.valutrades.com/en/blog/6-common-misconceptions-of-forex-traders

[thegoodlifebiz-blog]

3 Twitter Tips To Grow Your Followers Fast

3 Twitter Tips To Grow Your Followers Fast

The main thing to keep in mind when using Twitter is that it's a place for networking "ideas" as opposed to Facebook which is set up to network "people". For a small business, Twitter can really enhance your brand identity (what you stand for) and encourage interested readers to visit your website, blog, or offer. Interacting frequently with your audience via Twitter is a great way to share thoughts and ideas instantly. It enables you to see what matters to your audience, build a rapport with your followers and build your online reputation. I'm sure you've already figured out that using Twitter effectively isn't as easy as sending out the odd tweet every now and again. So in this post, I’d like to share three Twitter tips that helped me get more out of Twitter.

1. Get Organised With Twitter Friendly Scheduling Tools

Sometimes it can feel as though there aren’t enough hours in the day to keep up with social media. And trust me when I tell you... there aren’t. But using a social media management tool will help you to plan, manage and schedule not only your twitter posts but a variety social media posts. When it comes to sharing curated content I like Buffer. What I love about this tool is that by installing the chrome desktop app and/or iPhone app I can easily share anything I want while browsing online. Buffer gives me the option to either share it straight away or schedule it to be shared at a later time. And best of all the free version of Buffer allows you to share ten posts per month from up to three of your social media accounts with full analytics to let you know what kind of content my followers are enjoying the most! But if your business creates blog content and pushes posts out through your socials then you're going to want something a little more robust. When I discovered Blog2Social I couldn't believe what I'd stumbled across! Blog2Social is a plugin that allows me to select any of my posts from within the WordPress dashboard to customize and schedule to a specific time or to a recurring loop. I was really impressed with the selection of social accounts I could link twitter, facebook, Instagram, LinkedIn, Pinterest & Google+. But here's where it gets really powerful because Blog2Social will also allow you to post your post straight to other blogging platforms like Reddit, bloglovin, Tumblr, Medium & Flickr! So, If you're blogging and sharing your posts on a variety of social media platforms then this is where choosing the right social media management tool can shave days of manual labor from your month!

2. Engaging Your Audience

Firing off sales tweets every twenty minutes is more likely to get you blocked than retweeted. The real benefit of Twitter for business is that it gives you an insight into the values your customers hold dear. Start by watching the kind of conversations your followers are involved in. You can 'favorite' or retweet posts that stand out for you, chip into the conversation or simply use it to gain a deeper understanding of your fans and inspire your content. Most of all, make your posts engaging! Get to know your audience, use humor, videos, GIFs, and even polls to boost engagement. As a rule of thumb, try to make no more than 1 in 4 posts marketing-based so you don't bore your audience. For specific Tweet ideas check out this post.

3. Analyse Your Performance

If I asked you how well you are doing on Twitter would you be able to answer? You might say ‘good’ or ‘not so good’, but how do you define that in terms of reach and influence? That’s where analytical tools come in. A handy starting point is Twitter’s own analytics dashboard, where you can view stats such as your top tweet of the month and its impressions. But what about knowing which followers are more engaged, who followed you and who unfollowed you? You also want to know how you compare against the competition. For this, you’ll need a tool like ManageFlitter. A management platform that focuses solely on Twitter. ManageFlitter helps you manage multiple Twitter accounts, track link follows, find and follow like-minded people to follow in bulk. Another cool feature is that it also tracks who has unfollowed you and helps you clean your account of followers very quickly and easily... but a word or caution here; never unfollow more than 100 per day or you run the risk of having your account shut down. One of the features I love about ManageFlitter is that it allows you to schedule your tweets ahead of time and also suggests the best times of the day to post based on your followers. Embracing Twitter in your small business' marketing strategy can pay off, but like all things, it takes a bit of planning in the beginning to reap the rewards. Read the full article

[tranquilerpsoftware]

Tranquil #ERP software enables users to satisfy their clients with powerful tools and applications such as Applications and Interfaces, #WorkflowManagementtool, #ReportingTool, #CommunicationTools, #AnalyticalTools, #Taskschedulingtools For more details visit - https://www.tranquilerp.com #realestateerp #buildererp #constructionerp

[lifexasy-blog]

#WebAnalytics helps in #tracking, measuring, analyzing and reporting web data derived from #analyticaltools to understand the traffic trends of a website, blog or landing page. Learn Web Analytics absolutely free of costhttp://lifexasy.com/digital_marketing_tutorials.html/web_analytics.html#WebAnalytics, #WebAnalyticsTutorial, #WebAnalyticsOnlineTraining

[asahback-blog]

10 Instagram analytics tools every marketer should use in 2017

Marketers are not finding it difficult to expand their business channels, thanks to some amazing social media sites. A single account will work wonders and will help them to match up with multiple people, at the same time. 

But, that is only possible, when you know how well you can use the social media platforms, in your favor. One such platform, which is gaining worldwide popularity, is Instagram. 

And with the best analytics tools, every marketer will receive the promising business-centric approach through Instagram. So, without further ado, it’s time to jump right into those amazing Instagram Analytic tools, to be used.

Continue reading: https://www.creativedigest.co.uk/10-instagram-analytics-tools-every-marketer-use-2017/

#instagram #instagramtools #instagramanalyticaltools #instagramanalyticstool #analyticaltools #analyticstool #seo #seotool #analytics #toolsforinstagram #analyticalinstagramtool