PI.EXCHANGE in Melbourne, Victoria, Australia | Software company
PI.EXCHANGE
Locality: Melbourne, Victoria, Australia
Address: Ground Floor, 555 Bourke Street 3000 Melbourne, VIC, Australia
Website: https://pi.exchange
Likes: 393
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11.01.2022 Part 2 of our AI & Analytics Engine Tutorial Series: Preparing Your Data. Having created your project in tutorial 1, it's time to ingest your data and ensure that your data is clean, consistent, and accurate before bringing your data into a machine learning model or any other analytics project. The Engine enables you to do this in a systematic and repeatable manner with our Smart Data Preparation feature. #datawrangling #datacleaning #aiforeveryone #aiaengine #aianalyticsengine #piexchange #accessibleai #machinelearning #ai #datascience #tutorial #nocode https://hubs.li/H0Nr19Z0
10.01.2022 Data Scientist Rui Chen takes us through Continuous learning within The AI & Analytics Engine. Here, continuous learning refers to the capability to update the trained prediction model to take into account the additional available data. This is particularly useful for situations where additional data only becomes available with the passage of time, and updating already trained models with the additional data will help it make better predictions. #ai #ml #continuouslearning #aiforeveryone https://hubs.li/H0KD_860
07.01.2022 When building a machine learning model for real-world problems, it is rare that all the variables in a dataset are going to be useful to build that model. Enter feature selection, the process where only the features that contribute most to your prediction variable or output of interest are used. What are the benefits of feature selection? - Faster Training Time: Fewer datapoints reduce the complexity of the algorithm - Less Overfitting: Reduced opportunity for decisions base...d on noise - Better Accuracy: Less misleading data improves model accuracy #featureengineering #featureselection #aiforeveryone #datascience #machinelearning #ai #nocode #pi.exchange The Pain [And Cure] for Feature Selection in Machine Learning https://hubs.li/H0LMbpw0
03.01.2022 Let's help you create your first project. This is 1 of 4 of our tutorial series to get you up and running using The AI & Analytics Engine. #aiforeveryone #nocode #datascience #machinelearning Tutorial 1/4: Creating Your First Project https://hubs.li/H0MBM8x0
01.01.2022 AutoML - ever wondered what it is? And how is democratizes data science through accessibility? Everyone stands to benefit from the democratization of data science. Democratization will expand the pool of people able to find creative solutions to problems with data, improve data literacy and shift the role of data scientist through automation of manual tasks - so data scientists can focus on high-value strategic tasks within an organization. #accesibleai #aiforeveryone #aiaengine #piexchange #ml #AutoML #ai #artificialintelligence #datascience #democratizedatascience Democratization of Data Science: What is AutoML? And How Does it Drive Accessibility? https://hubs.li/H0KRcmL0
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