05:13We will look at the fundamental concept of clustering, different types of clustering methods and the weaknesses. Clustering is and unsupervised learning technique that consists of grouping data points and creating partitions based on similarity. The ultimate goal is to …
30:14Modern machine learning libraries are both a blessing and a curse. Due to the ease with which the libraries can be used, most users (newbies and practitioners alike) focus too much on tools and techniques. We will discuss the high-level …
1:49:31This presentation will discuss building a business case for your machine learning idea. In this talk, our presenter, Neeti Gupta, will provide a 10-step checklist with examples for the audience to build their own business model for a machine learning …
01:25:42From distorting experiments with systemic bias to imposing human ethics on machine learning models, data scientists have far more to worry about than the raw numbers in their spreadsheet. Join Raja Iqbal on an exploration of data science’s past ethical …
01:11:28According to some estimates, bots constitute close to 50% of the overall traffic. In this introductory talk to Feature Engineering for Bot Detection, we will cover various aspects of feature engineering for bot detection of automated web traffic. We will …
1:24:59Modern machine learning libraries make model building look deceptively easy. An unnecessary emphasis (admittedly, annoying to the speaker) on tools like R, Python, SparkML, and techniques like deep learning is prevalent. Relying on tools and techniques while ignoring the fundamentals …
15:31Machine Learning Model Building – Let’s build our first machine learning model in Azure ML. First, we have to go shopping for a machine learning model. We must identify what type of machine learning algorithm we want to choose from. …
18:48Azure ML – In this tutorial we will make sure all the categorical features are treated as categories using the edit meta data module. We will also setup a holdout dataset and randomly sample our dataset in two partitions, a …
23:12Summary Statistics & Cleaning Missing Data – Let’s understand the aggregate behavior of our features further by looking at summary statistics. Azure Machine Learning gives us easy access to mean, median, mode, min, and max. Let’s look at each measure …
07:46Azure ML – The machine learning model will learn from the data it has access to. Sometimes it becomes necessary to shed columns from our dataset so our machine learning model does not learn from them. In this video we’ll …
