Gli speciali acidi applicati sulla superficie trasparente del vetro, la rendono opaca definitivamente. Il vetro pellicolato viene invece reso opaco interponendo, fra due lastre di vetro, una pellicola colorata. La tecnica della sabbiatura viene utilizzata principalmente per realizzare dei decori sul vetro.
Il contrasto fra parti opache e trasparenti, permette di realizzare decorazioni molto belle. Il vetro a specchio ha la superficie esterna riflettente. Lascia quindi passare molta meno luce rispetto ad un vetro trasparente.
Ciao Giovanni. Entrambe le tipologie di vetro che menzioni lasciano passare molta luce. A presto. Potrei evitare di mettere le tende?
Buongiorno Claudia, il vetro a cristalli liquidi, una volta attivato, diventa opaco. Quindi non permette la vista, da entrambi i lati.sostituire touch screen rotto - vetro iPad 3 - cambio touch A1430
Permette invece il passaggio della luce. Le tende non sono necessarie quindi. Grazie mille. Ciao Chiara benvenuta su Window Blog e grazie per il tuo commento.
Questo sito usa Akismet per ridurre lo spam. Scopri come i tuoi dati vengono elaborati. Precedente Prossimo. Ingrandisci immagine. Vetri che non si VEDE dentro. Vorresti evitare sguardi indiscreti. Attraverso il vetro trasparente delle tue finestre.Postato in Blog. Facciamo un po' di chiarezza sull'argomento.
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Once you delete an anomaly detector, it is permanently deleted. If you try to delete an anomaly detector a second time, or an anomaly detector that does not exist, you will receive a "404 not found" response. However, if you try to delete an anomaly detector that is being used at the moment, then BigML. To list all the anomaly detectors, you can use the anomaly base URL.
By default, only the 20 most recent anomaly detectors will be returned. You can get your list of anomaly detectors directly in your browser using your own username and API key with the following links.
You can also paginate, filter, and order your anomaly detectors. Associations Last Updated: Monday, 2017-10-30 10:31 Association Discovery is a method to find out relations among values in high-dimensional datasets.
It is commonly used for market basket analysis. For example, finding customer shopping patterns across large transactional datasets like customers who buy hamburgers and ketchup also consume bread, can help businesses to make better decisions on promotions and product placements.
Association Discovery can also be used for other purposes such as early detection of failures or incidents, intrusion detection, web mining, or biotechnology. Note that traditionally association discovery look for co-occurrence and do not consider the order in which an item appear within an itemset.
Associations can handle categorical, text and numeric fields as input fields: You can create an association selecting which fields from your dataset you want to use. You can also list all of your associations. This can be used to change the names of the fields in the association with respect to the original names in the dataset or to tell BigML that certain fields should be preferred.
La sostituzione del solo vetro: un mito da sfatare
All the fields in the dataset Specifies the fields to be considered to create the association. A value less than 1 represents the percentage of the support, and will be multiplied by the total number of instances and rounded up.
Example: true name optional String,default is dataset's name The name you want to give to the new association. Each must contain, at least the field, and both operator and value. See the description below the table for more details. Example: "lift" seed optional String A string to be hashed to generate deterministic samples. The individual predicates within the array are OR'd together to produce the final predicate.
The above examples in the arguments table specifies that the right-hand side of all discovered rules must be either the item corresponding to species is Iris-setosa and petal width within the interval (1.
When a predicate for a numeric field is given, the field will be discretized along bin edges specified by the predicate. With the above example, the field petal width will be discretized into three bins, corresponding to the values 2.
If a predicate is given without an operator or value, then any item pertaining to this field is accepted into the RHS. Discretization is used to transform numeric input fields to categoricals before further processing. You can also use curl to customize a new association.
Once an association has been successfully created it will have the following properties. Creating an association is a process that can take just a few seconds or a few days depending on the size of the dataset used as input and on the workload of BigML's systems.
The association goes through a number of states until its fully completed. Through the status field in the association you can determine when the association has been fully processed and ready to be used to create predictions. Thus when retrieving an association, 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.
To update an association, you need to PUT an object containing the fields that you want to update to the association' s base URL.
Once you delete an association, it is permanently deleted. If you try to delete an association a second time, or an association that does not exist, you will receive a "404 not found" response. However, if you try to delete an association that is being used at the moment, then BigML.I found it very easy to navigate and was pleasantly surprised at how involved the instructor was in the online discussion. Wow, I think he is the most hands-on instructor that I've had in the whole PASS program.
He truly cares about giving feedback for every student and every thought. That is rare, special and positively remarkable. I truly appreciated it and I'd love to see more courses from Mr. Unwin and spatial analysis--we would all benefit from itDave was a fantastic instructor.
Lots of personalized feedback. The course was challenging but extremely rewarding. It's made me think about a range of new areas of statistical analysis, which I've found very stimulatingDr. Unwin is the most engaged instructor I have had yet at Statistics.
His feedback and involvement was excellent in time given, content provided, and charitable attitude. The Instructor, Dave Unwin, was great. I have to admit that I had my reservations about taking an online course, but I was pleasantly surprised. Dave obviously put a lot of thought and effort into creating the materials for the course as well as structuring the assignments to give students thoughtful work.
He responded to each and every question and was very hands-on. This was a great class. I learned a lot and enjoyed the format. The lessons, assignments, feedback, and discussions were all informative.
I appreciate Professor Unwin's efforts to include references to web sites, journal articles, and books that will be very useful in the future. The course helps me understand different approaches (pros and cons of each approach) in sample size estimates and provides hands-on experience in using various softwares.
I highly recommend this course to folks involved in clinical study designI loved the new option to send assignments to the teaching assistant for suggestions before submitting the work to be marked.
Poonam was very helpful and provided the right amount of guidance without giving away the right answer. I'll never pass a queue again without thinking more about it :). In many stats classes I've taken other places, homework assignments can seem punitive for those who don't understand the material, but this homework seemed to further enhance my learning experience.
I would definitely take another class with Dr. Pardoe if I had the opportunity. The interaction with the lecturer was good, the book is great, the online book material on software is extremely helpful and the lecturer put a lot of effort into a synthesis of the books contents every week. This was by far the best course I took at statistics. Course administration was efficient. Overall, a pleasant learning experience which is at least as good as any face-to-face course I've attended.
Rasch Applications Part 2 is a wonderful follow-up to the first course. Both courses are well designed and build up over the weeks in a such a manner that they make learning new concepts easy to handleThis course has given me a good understanding of the basics in Rasch analysis.
I am very happy that I took this course because I do not think it is possible to just read this kind of information without working with data to get a good understanding of these complex theories and methods. The instructor Joris Mays was very effective, especially in the discussion board where his feedback was timely, clear and very thoroughThis course was extremely helpful in facilitating my understanding of programming in R fundamentals.
I feel confident moving forward onto the next section of R programmingDr. Murrell is a great instructor.
His notes and book were great resources.Growth will be stimulated by sustained improvements in the accuracy of indoor navigation over the medium term. Precise indoor navigation's potential is significant, is likely to benefit most vertical sectors, and have impacts on government, businesses and consumers alike. Click here to view the infographicTV advertising in the US: flat is the new up. Deloitte Global predicts that US TV advertising revenue in 2017 will be flat with 2016. For an industry widely thought to be following the sharply negative trend of other traditional media, flat is the new up.
Although traditional TV advertising is not growing as rapidly as it used to and is losing share to digital, it still remains an important advertising medium. Click here to view the infographicHave we reached peak tablet. In 2017, we predict that sales of tablets will be fewer than 160 million units, suggesting that we have passed the peak demand for these devices.
Vetri che non si VEDE dentro
Tellingly, there is no dominant compelling use case for these devices. Across a range of online activities, tablets have their fans, but there is no single activity where tablets are the preferred device. Click here to view the infographicVinyl: the billion-dollar nostalgic niche. Today, for many buyers, the record has become a collectible, a memento, a proudly physical format and an expression of individuality in an increasingly digital world.
Click here to view the infographicIT-as-a-Service: the half trillion dollar 'niche'. For many enterprises, large and small, IT-as-a-Service is appealing for several reasons.
It avoids significant capital expenditures and provides a predictable expense based on actual use which is easily scaled up or down, based on business needs. Click here to view the infographicEach year, Predictions authors look back on the previous year to score how well we did with our Predictions.
This video focuses on the hottest Predictions topic from 2016: virtual reality. Watch the video to learn more. In his global role, Paul has authored over 80 TMT reports includi.
He is a globally recognized speaker and expert on the forecasting of consumer and enterprise technology. DTTL does not provide services to clients. Future of Mobility Learn how this new reality is coming together and what it will mean for you and your industry.
How could consumer habits change. They reveal the perspectives gained from hundreds of conversations with industry leaders, and thousands of consumer interviews across the globe.
Summaries: Global Predictions 2017 Prints charming: biometric security reaches the billions Prints charming: biometric security reaches the billions. Each year, Predictions authors look back on the previous year to score how well we did with our Predictions.
Previous predictions Access the collection of previous TMT Predictions. But what does 2018 have up its sleeves for Apple fans.While many scientific investigations make use of data, statistics is concerned with the use of data in the context of uncertainty and decision making in the face of uncertainty.
Mathematical techniques used for this include mathematical analysis, linear algebra, stochastic analysis, differential equations, and measure-theoretic probability theory. Populations can be diverse topics such as "all persons living in a country" or "every atom composing a crystal". Ideally, statisticians compile data about the entire population (an operation called census).
This may be organized by governmental statistical institutes. Descriptive statistics can be used to summarize the population data. Numerical descriptors include mean and standard deviation for continuous data types (like income), while frequency and percentage are more useful in terms of describing categorical data (like race).
When a census is not feasible, a chosen subset of the population called a sample is studied. Once a sample that is representative of the population is determined, data is collected for the sample members in an observational or experimental setting. Again, descriptive statistics can be used to summarize the sample data. However, the drawing of the sample has been subject to an element of randomness, hence the established numerical descriptors from the sample are also due to uncertainty.
To still draw meaningful conclusions about the entire population, inferential statistics is needed. It uses patterns in the sample data to draw inferences about the population represented, accounting for randomness. When full census data cannot be collected, statisticians collect sample data by developing specific experiment designs and survey samples. Statistics itself also provides tools for prediction and forecasting through statistical models. To use a sample as a guide to an entire population, it is important that it truly represents the overall population.
Representative sampling assures that inferences and conclusions can safely extend from the sample to the population as a whole. A major problem lies in determining the extent that the sample chosen is actually representative.
Statistics offers methods to estimate and correct for any bias within the sample and data collection procedures. There are also methods of experimental design for experiments that can lessen these issues at the outset of a study, strengthening its capability to discern truths about the population.She did, however, make sure we received a travel bag with an excellent personalized tour book and driving map. Our accommodations and highlights the to see along the way were clearly marked, and we were very pleased with every place she recommended.
We saw the beautiful natural features and learned the incredible history of the island along the way. Iceland is unique - rich in natural features and culture.
Almost everyone speaks English, so even though the Icelandic language was difficult, we were always able to find help. This was a fantastic trip - probably the best in natural beauty I've ever taken. Someday, I hope to return, and I will use Nordic Visitor as my choice of travel planner.
We cannot wait to return to Iceland and look forward to booking future holidays with Nordic visitor. What was excellent in this case was that we had to do very little ourselves and it was all so well organised and arranged by Alexandra.
We wanted to celebrate our Golden Wedding Anniversary by booking an " Iceland Complete " self drive tour of the island and spent many months planning our trip with Nordic Visitor. The young lady at NV was so helpful and friendly and arranged the most wonderful holiday - comfortable hotels or guesthouses in spectacular positions and only a few hours driving each day. Nothing was too much trouble and she made it all so easy. NV were so professional with the mapsdetailed itinerarycell phone and lots of helpful advice.
It ranks as one of the best holidays we have ever had ,arranged by quite the best travel company we have ever used. We fell in love with Iceland - we have been lucky to travel all over the world and Iceland and our golden holiday will live in our memories for ever. We booked this trip through Nordic Visitor and were very happy we did. They arranged everything nicely and we had very good time in Iceland.
We got to see a lot of Iceland by the Super Jeep excursions. Also we were flown to Akureyri in North of Iceland to see the Northern Lights. Was by far the best organised trip we have been on, Iceland is such a beautiful place, and Nordic Visitor made it all so easy and pointed out all the best places to see. Our Contact Erla was excellent, very helpful.
Loved the champagne and chocolates on arrival at first hotel, a really lovely touch. We have fallen in love with Iceland. It was reassuring to know that help, if needed, was available from the very friendly Nordic Visitor office.
The mobile phone which was provided was a nice touch. Food was of a very high standard. Icelanders are extremely friendly. Yes, the rather shy Northern Lights did make an appearance.
A real "WOW" holiday!!. Last minute changes to the hotel bookings were dealt with extremely efficiently. Nordic Visitor were very helpful during the duration of the whole tour. I would like to say that Thordis was particularly helpful when I experienced difficulties after being caught in a snow blizzard and became trapped in my vehicle.
The back up service an support was excellent and helped me greatly during a difficult time.