Machine Learning with Coffee

By Gustavo Lujan

Technology Tech News Business Careers

What's Machine Learning with Coffee about?

Machine Learning with Coffee is a podcast where we are going to be sharing ideas about Machine Learning and related areas such as: artificial intelligence, business intelligence, business analytics, data mining and Big data. The objective is to promote a healthy discussion on the current state of this fascinating world of Machine Learning. We will be sharing our experience, sharing tricks, talking about latest developments and interviewing experts, all these on a very laid back, friendly manner. So, what are you waiting for? Grab a coffee and join us.

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LAST EPISODE

20 Perceptron: Machine Lear...

03.15.2021

We introduce the concept of a perceptron as the basic component of a neural network. We talk about how important is to understand the concept of backpropagation applied to a single neuron.

Machine Learning with Coffee episodes:

03.15.2021 20 Perceptron: Machine Learning Begins We introduce the concept of a perceptron as the basic component of a neural network. We talk about how important is to understand the concept of backpropagation applied to a single neuron.
01.24.2021 19 ICA: Independent Component Analysis We discuss Independent Component Analysis as one of the most popular and robust techniques to decompose mixed signals. ICA has important applications in audio processing, video, EEG and in many datasets, which present very high multicollinearity.
12.22.2020 17 Anomaly Detection: Clustering We present 3 clustering algorithms which will help us detect anomalies: DBSCAN, Gaussian Mixture Models and K-means. These 3 algorithms are very popular and basic but have passed the test of time. All these algorithms have many variations which try ...
10.19.2020 16 Anomaly Detection: Control Charts Anomaly detection is not something recent, techniques have been around for decades. Control charts are graphs with solid mathematical and statistical foundations which monitor how a process changes over time. They implement control limits which automatically flag anomalies in a ...
09.28.2020 15 Adaboost: Adaptive Boosting Adaboost is one of the classic machine learning algorithms. Just like Random Forest and XGBoost, Adaboost belongs to the ensemble models, in other words, it aggregates the results of simpler classifiers to make robust predictions. The main different of Adaboost ...
07.26.2020 14 XGBoost: The Winner of Many Competitions XGBoost is an open-source software library which has won several Machine Learning competitions in Kaggle. It is based on the principles of gradient boosting, which is based on the ideas of the Leo Breiman, the creator of Random Forest. The ...
03.28.2020 07 COVID-19 We talk about how Data Science and Machine Learning can help us better understand COVID-19 challenges. In this episode, we go back to the Kaggle website where different institutions, including the White House, have come together to try to analyze ...
02.02.2020 02 My Personal Journey: How I Became a Data Scientist In this episode I talk about my personal journey, how I became a Data Scientist. I start by talking about how I decided to go to college, what major to choose, how I chose my master’s degree. I talk about ...
01.26.2020 01 Introduction and Expectations In this, our first episode, we will define the objective of the show as well as expectations. The show is designed for anyone who is interested in this fascinating world of Machine Learning.