Ekaaro eyin eniyan mi, aojiire bi? Aku ise ana o, a sin Ku isimi oni emi wa yio se pupo re laye o ase. Awon Yoruba maa npe oruko ewe yi ni ewe agogo igun sugbon awa ekiti maa npe ni apari igun lede isedale tiwa.
Je ki Your Orin gbigba pẹlu Ọkan Tẹ
Alaye odu ifa yi nso funwa wipe akapo ti odu yi ba jade si nilati gbe igbese bi ile aye re yio se gun ti yio tuba ti yio si tuse, ifa ni nkan ko lo deedee fun akapo naa, ifa ni gbogbo ona re lo daru mo loju, sugbon ifa gba niyanju wipe ki o se akose ifa yi nitori ki o baa le sawari aye re, ki gbogbo nkan re baa le dara ki ona re baa le gun laye.
AKOSE RE: ao lo awon nkan wonyen kuna pelu eje akuko adiye yen ati ogbe ori adiye naa ao wa gbaye ese ifa yi si ao po po mo ise ifa yen ao fi sin gbere sorun wa yika, eleyi to ba ku ao po mose fun wiwe. Eyin eniyan mi, mogbaladura laaro yi wipe gbogbo ona aseyori, igbega, ise rere wa to ti wo yio gun pada, igbesi aye wa koni daru lagbara eledumare, ako ni fi inira ati idaamu gbele aye o aaaseee.
The song is played in many clubs worldwide, as well as in movies and television shows, especially in South Korea. From Wikipedia, the free encyclopedia.
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Maxim Fadeev Ilario Drago exec. Belgium Ultratip Wallonia . Italy FIMI . Japan Japan Hot . Netherlands Dutch Top 40 . Netherlands Single Top . Romania Airplay .Rodgers was helped in its creation by long-time arranger Trude Rittmann who devised the extended vocal sequence in the song.
According to assistant conductor Peter Howard, the heart of the number — in which Maria assigns a musical tone to each child, like so many Swiss bell ringers — was devised in rehearsal by Rittmann who was credited for choral arrangements and choreographer Joe Layton.
The fourteen note and tune lyric — 'when you know the notes to sing Howard: 'Rodgers allowed her to do whatever she liked. When we started doing the staging of it, Joe took over. He asked Trude for certain parts to be repeated, certain embellishments. In the stage version, Maria sings this song in the living room of Captain von Trapp's house, shortly after she introduces herself to the children. However, when Ernest Lehman adapted the stage script into a screenplay for the film adaptationhe moved the song to later on in the story.
In the film, Maria and the children sing this song over a montage as they wander and frolic over Salzburg. Later on, in both the film and stage versions, a more intricate reprise of the song is sung in the style of a Bach cantata, showing the audience how versatile they were at multi-part choral singing. The tune finished at 88 in AFI's Years Adams humorously imagined that Oscar Hammerstein just wrote "a note to follow So" and thought he would have another look at it later, but could not come up with anything better.
Anita Bryant released a version as a single in which reached 94 on the Billboard Hot Backing orchestrations were done by Monty Kelly, and Bryant was accompanied by a children's chorus. Her version also appeared on her eponymous debut album, which features covers of songs taken from Broadway shows.
From Wikipedia, the free encyclopedia. This article is about the song from The Sound of Music. For other uses, see Do Re Mi disambiguation. This article appears to contain trivial, minor, or unrelated references to popular culture. Please reorganize this content to explain the subject's impact on popular culture, providing citations to reliable, secondary sourcesrather than simply listing appearances.
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If you would like to view storm report images for a previous day, type in the date you wish to retrieve (e. Norman, OK 73072 U. In addition to the principle theme of shared responsibility, each week of NCSAM has its own theme as well. When the term incident response is raised, the first thing that might come to mind is organizations having to prepare for a possible cyber incident that might adversely affect its operations and bottom line.
And that is, indeed, true as ever, but incident response is also the business of anyone operating an endpoint, including consumers, whether using the internet on a desktop, laptop or mobile device. With attacks such as ransomware rising uncontrollably, constant escalation in mobile threats, and cybercriminals devising more ways to compromise and use personal data, it is high time for consumers to have an incident response plan of their own.
As a consumer, do you have a backup system set up for your important files and cherished memories. It is easy to set up cloud backups, and a low-cost option is to also own an external drive you can save your files to and keep disconnected from the endpoint. Do you know what to do to secure your online accounts.
What if your password somehow gets reset and a criminal takes over your account. Do you have a setup that will inform you of an issue outside a short message service (SMS) message. Maybe SMS is not the best option for some of your accounts, and that should not be an afterthought if that account holds any value to you.
How about securing your personal details. With personally identifiable information (PII) roaming the internet like never before, you might be the last to find out when your data has been compromised and used by a criminal. From medical fraud to insurance fraud to taking out a loan in your name, criminals will stop at nothing, and often money will only be the start of the problem.
Plan for a rainy day by setting up special alerts on use of your personal details and make sure you get a call if ever a new credit line or loan is requested on your behalf.
Brian Evans, senior managing consultant: Artificial intelligence (AI) solutions will become an integral part of any cybersecurity program in the not-too-distant future.
AI can speed up the detection and analysis as well as increase decision-making time, accuracy and protection measures. QRadar Advisor with Watson already offers an AI-human combination and puts us one step closer to the future by harnessing the power of Watson for Cyber Security to enable security analysts to respond to threats with greater speed and scale.Optimized to handle a high volume of instances in a job and to run more complex models.
Can process one or more instances per request. Predictions returned in the response message. Predictions written to output files in a Cloud Storage location that you specify.
Input data passed directly as a JSON string. Input data passed indirectly as one or more URIs of files in Cloud Storage locations. Returns as soon as possible. Anyone with Viewer access to the project can request. Must be a project Editor to run. Runs on the runtime version and in the region selected when you deploy the model.
Can run in any available region, using any available runtime version.
New Music: Adara Praise releases Oro Re (Lyrics)
Though you should run with the defaults for deployed model versions. Runs models deployed to Cloud ML Engine. Runs models deployed to Cloud ML Engine or models stored in accessible Google Cloud Storage locations. The needs of your application dictate the type of prediction you should use.
Batch prediction latency If you use a simple model and a small set of input instances, you'll find that there is a considerable difference between how long it takes to finish identical prediction requests using online versus batch prediction. Understanding prediction nodes and resource allocation Cloud ML Engine measures the amount of processing you consume for prediction in node hours.
Node allocation for batch prediction The batch prediction service scales the number of nodes it uses to minimize the amount of elapsed time your job takes. To do that, the service: Allocates some nodes to handle your job when you start it. Scales the number of nodes during the job in an attempt to optimize efficiency. Shuts down the nodes as soon as your job is done. Node allocation for online prediction The online prediction service scales the number of nodes it uses to maximize the number of requests it can handle without introducing too much latency.
To do that, the service: Allocates some nodes the first time you request predictions after a long pause in requests. Scales the number of nodes in response to request traffic, adding nodes when traffic increases, and removing them when there are fewer requests. Limitations of automatic scaling Cloud ML Engine automatic scaling for online prediction can help you serve varying rates of prediction requests while minimizing costs.
Using manual scaling You can affect the scaling of online prediction for a model version by specifying a number of nodes to keep running regardless of traffic.For example, datasets containing all products bought by users or prescription datasets where each patient is associated to different treatments.
These datasets are commonly used for Association Discovery to find relationships between different items. Once a field has been detected as items, BigML tries to automatically detect which is the best separator for your items. During the source pre-scan BigML tries to determine the data type of each field in your file. For instance, if a field named "date" has been identified as a datetime with format "YYYY-MM-dd", four new fields will be automatically added to the source, namely "date.
For each row, these new fields will be filled in automatically by parsing the value of their parent field, "date". For example, if the latter contains the value "1969-07-14", the autogenerated columns in that row will have the values 1969, 7, 14 and 1 (because that day was Monday).
When a field is detected as datetime, BigML tries to determine its format for parsing the values and generate the fields with their components. By default, BigML accepts ISO 8601 time formats (YYYY-MM-DD) as well as a number of other common European and US formats, as seen in the table below: It might happen that BigML is not able to determine the right format of your datetime field.
In that case, it will be considered either a text or a categorical field. Once a source has been successfully created it will have the following properties. It specifies the total number of fields, the current offset, and limit, and the number of fields (count) returned. In a future version, you will be able to share sources with other co-workers or, if desired, make them publicly available.
It includes a code, a message, and some extra information. See the table below. This is the date and time in which the source was updated with microsecond precision. It follows this pattern yyyy-MM-ddThh:mm:ss.
All times are provided in Coordinated Universal Time (UTC). Source Fields The property fields is a dictionary keyed by an auto-generated id per each field in the source. Before a source is successfully created, BigML. The source goes through a number of states until all these analyses are completed.
Aworan by Elijah Akintunde | Mp3 Download, Video and Lyrics
Through the status field in the source you can determine when the source has been fully processed and is ready to be used to create a dataset. Thus when retrieving a source, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve.
In all other respects, the source is the same as the one you would get without any filtering parameter above. To update a source, you need to PUT an object containing the fields that you want to update to the source' s base URL. Once you delete a source, it is permanently deleted.
If you try to delete a source a second time, or a source that does not exist, you will receive a "404 not found" response. However, if you try to delete a source that is being used at the moment, then BigML. To list all the sources, you can use the source base URL.I love your style in doing that 301 from your own site, classy. Finesse and attention to detail are sadly rare in the digital marketing world, so thanks for showcasing the little things which different some of us.
Thanks for the easy to follow directions. It worked like a charm. I posted this article to my business Facebook page. As a small business it is always nice to find ways to do things ourselves in order to cut our costs. This article was easy to follow and I am looking forward to our clients reviews. My best guess is that results may depend on when the listing was created.
When I created links for this tutorial, I created the link on an iPhone 5. Thanks for putting this info together. Any idea why that would be happening. I noticed in your response to the previous comment you said that the link has to be generated from a mobile phone in order to work correctly. For reference, I am in the US, and your link above opens and goes straight to the star review on both my computer and iPhone.Ope Nla (Big Thanks) by Lanre Teriba ( Atorise )
However, I have not been able to get it to work for our Google My Business Page. For reference I have 4 separate locations all tied together on Google My Business.
However, the link(s) will not open to the star review page ever, they only open to our Google page and would require a person to then select the leave a review, etc.
When creating the link, I followed your instructions precisely, and tried creating the link to one of our locations Google pages specifically. Thank you in advance for sharing the article and any ideas. Thanks for the note about changing the 3 to a 5 in the desktop URL to pre-fill a 5 star rating. That was actually an issue I discovered when writing a previous version of this article. Although, I did not look into it in depth.