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🗺️ Try our Weather Maps 🗺️ Download meteoblue App --> Tuesday 0300 0600 0900 1200 1500 1800 2100 2400 Icon Temperature (°F) 58° 58° 58° 58° 59° 59° 64° 64° 66° 66° 64° 64° 60° 60° 59° 59° Temperature felt (°F) 50° 51° 52° 55° 58° 58° 55° 54° Wind direction WSW W WSW WSW SW SW WSW WSW Wind speed (mph) WSW 15-21 15-21 W 11-16 11-16 WSW 13-20 13-20 WSW 17-27 17-27 SW 16-26 16-26 SW 12-21 12-21 WSW 11-17 11-17 WSW 9-16 9-16 Precipitation (in/3h) - 15% - - 15% - - 5% - - 5% - - 5% - - 0% - - 0% - - 0% - Precipitation probability 15% 15% 5% 5% 5% 0% 0% 0% Precipitation hourly 00:00 to 01:00:5% chance of precipitation in the area.0″ are predicted by our local models. 01:00 to 02:00:5% chance of precipitation in the area.0″ are predicted by our local models. 02:00 to 03:00:15% chance of precipitation in the area.0″ are predicted by our local models. 03:00 to 04:00:15% chance of precipitation in the area.0″ are predicted by our local models. 04:00 to 05:00:5% chance of precipitation in the area.0″ are predicted by our local models. 05:00 to 06:00:0% chance of precipitation in the area.0″ are predicted by our local models. 06:00 to 07:00:0% chance of precipitation in the area.0″ are predicted by our local models. 07:00 to 08:00:5% chance of precipitation in the area.0″ are predicted by our local models. 08:00 to 09:00:0% chance of precipitation in the area.0″ are predicted by our local models. 09:00 to 10:00:5% chance of precipitation in the area.0″ are predicted by our local models. 10:00 to 11:00:5% chance of precipitation in the area.0″ are predicted by our local models. 11:00 to 12:00:5% chance of precipitation in the area.0″ are predicted

🗺️ Try our Weather Maps 🗺️ Download meteoblue App --> Monday 0300 0600 0900 1200 1500 1800 2100 2400 Icon Temperature (°C) 24° 24° 24° 24° 28° 28° 33° 33° 33° 33° 31° 31° 27° 27° 26° 26° Temperature felt (°C) 28° 28° 33° 40° 37° 35° 33° 32° Wind direction E E ENE WSW WSW WSW W SE Wind speed (km/h) E 4-6 4-6 E 5-7 5-7 ENE 4-10 4-10 WSW 3-11 3-11 WSW 13-22 13-22 WSW 9-18 9-18 W 2-7 2-7 SE 4-11 4-11 Precipitation (mm/3h) - 35% - - 0% - - 0% - - 0% - - 15% - - 15% - 35% - 20% - Precipitation probability 35% 0% 0% 0% 15% 15% 35% 20% Precipitation hourly 00:00 to 01:00:35% chance of precipitation in the area.0 mm are predicted by our local models. 01:00 to 02:00:35% chance of precipitation in the area.0 mm are predicted by our local models. 02:00 to 03:00:0% chance of precipitation in the area.0 mm are predicted by our local models. 03:00 to 04:00:0% chance of precipitation in the area.0 mm are predicted by our local models. 04:00 to 05:00:0% chance of precipitation in the area.0 mm are predicted by our local models. 05:00 to 06:00:0% chance of precipitation in the area.0 mm are predicted by our local models. 06:00 to 07:00:0% chance of precipitation in the area.0 mm are predicted by our local models. 07:00 to 08:00:0% chance of precipitation in the area.0 mm are predicted by our local models. 08:00 to 09:00:0% chance of precipitation in the area.0 mm are predicted by our local models. 09:00 to 10:00:0% chance of precipitation in the area.0 mm are predicted by our local models. 10:00 to 11:00:0% chance of precipitation in the area.0 mm are predicted by our local models. 11:00 to

Once the execution finishes, while you concentrate on other tasks. Feb2017 Furthering our obsession to speed up your Machine Learning processes, we have incorporated Scriptify into your 1-click menu options. Now, you can automatically regenerate any BigML resource (models, evaluations, predictions, etc) with a single click. Scriptify creates a script that contains all the workflow information end-to-end (from configuration parameters to resources created). You can precisely repeat the processing steps of any original Machine Learning resource to your heart's desire! Jan2017 These new Dashboard statistics allow you to introspect the predictive power of your model by revealing the significance of each coefficient estimate. BigML computes the likelihood ratio to test how well the model fits your data along with the p-value, confidence interval, standard, error and Z score for each coefficient.Learn more about the Logistic Regression statistics in the Dashboard documentation. Jan2017 Now, you can easily clone datasets, models and scripts, from other users into your BigML account. Provided that a user shares a resource using the sharing link and the cloning capability is enabled, any other user with access to the link will be able to include this resource in their BigML account.This new feature will allow you to fully use the shared resources. For example, when another user shares a dataset using the sharing link, it is in "view only" mode, so you can not perform any actions such as creating new models, exporting it, sampling it, etc. Now, by cloning it, you will be able to perform all BigML actions available for datasets. Jan2017 BigML is bringing predictions for Associations to the Dashboard. Association Sets allow you to pinpoint the items which are most strongly associated with your input data. For example, given a set of products purchased by a person, what other products are most likely to be bought?All the predicted items will be ranked according to a similarity score, and they will be displayed in a table view. You can also visualize each predicted rule in a Venn diagram to get a sense of the correlation strength between the input data and the predicted items. Read more about Association Sets in the 8th chapter of the Associations documentation. Jan2017 We are happy to announce BigML Certifications, for organizations and professionals that want to master BigML to successfully deliver real-life Machine Learning projects. These courses are ideal for software developers, system integrators, analysts, or scientists, to boost their skill set and deliver sophisticated data-driven solutions. We offer two separate courses, each of them consisting of 4 weekly online classes of 3 hours each:Certified Engineer: all you need to know about advanced modeling, advanced data transformations, and how to use the BigML API (and its wrappers) in combination with WhizzML to build and automate your Machine Learning workflows.Certified Architect: learn how to implement your Machine Learning solutions so they are scalable, impactful, capable of being integrated with third-party systems, and easy to maintain and retrain.If you successfully pass the certification exam, BigML will award you with a