www.matrixtrc.com

Data Science and AI Expertise

Data Science and AI ExpertiseData Science and AI ExpertiseData Science and AI Expertise
  • Home
  • Workshops
  • Data Analysis
  • Machine Learning
  • AI
  • Python vs. All
  • Forecasting
  • Quality Control
  • Epidemiology
  • Matrix TRC Academy
  • Contact Us
  • Biography
  • More
    • Home
    • Workshops
    • Data Analysis
    • Machine Learning
    • AI
    • Python vs. All
    • Forecasting
    • Quality Control
    • Epidemiology
    • Matrix TRC Academy
    • Contact Us
    • Biography

Data Science and AI Expertise

Data Science and AI ExpertiseData Science and AI ExpertiseData Science and AI Expertise
  • Home
  • Workshops
  • Data Analysis
  • Machine Learning
  • AI
  • Python vs. All
  • Forecasting
  • Quality Control
  • Epidemiology
  • Matrix TRC Academy
  • Contact Us
  • Biography

Data Visualization and Descriptive Statistics

Getting Started with Data

Getting Started with Data

Getting Started with Data

Introduction to the world of data, its collection, structure and preparation for efficient analysis.

Find out more

Data Visualization

Getting Started with Data

Getting Started with Data

Best way to start is to illustrate data. Too many stories can be revealed simply and quickly with appropriate charts.

Find out more

Descriptive Statistics

Getting Started with Data

Descriptive Statistics

Describing data sets with statistical indicators is the best primer to start with before jumping into analytics.

Find out more

Probability Laws

Central Limit Theorem

Descriptive Statistics

It is all about the probability of how likely what you observe can be simply the result of chance intervention ... only!

Find out more

Central Limit Theorem

Central Limit Theorem

Central Limit Theorem

Should you use all your data set for analytics? What if at a certain point, any sub-sample you pick up randomly will generate the same results?

Find out more

Estimations

Central Limit Theorem

Central Limit Theorem

When you deal with samples, it is imperative to make sure what could be the reality if you were capable to handle the complete and possible data.

Find out more

Data Analysis for "Professionals"

Hypothesis Testing

Hypothesis Testing

Hypothesis Testing

All our decisions are based on hypotheses. In data analysis sample's result should confirm or reject any of them we claim to be true, and actions will follow accordingly.

Find out more

One Group Tests

Hypothesis Testing

Hypothesis Testing

Comparing results calculated over a sample to a multiple standards and checking out main deviations is the start of an efficient data analysis.

Find out more

Two Group Tests

Hypothesis Testing

MULTIPLE GROUPS TESTS

Two groups are compared on variables with different measurement units. Sorting differences in one single chart is a state-of-the-art to add in your reports. 

Find out more

MULTIPLE GROUPS TESTS

Simple Logistic Regression

MULTIPLE GROUPS TESTS

Finding out differences between multiple groups is not enough. This should highlight pairs that caused such difference ... or not!

Find out more

SIMPLE LINEAR REGRESSION

Simple Logistic Regression

Simple Logistic Regression

Did you know that the simple linear regression is about explaining a "quantitative" output with a "quantitative" input ... 

Find out more

Simple Logistic Regression

Simple Logistic Regression

Simple Logistic Regression

... at the time the logistic regression is the same but for a "qualitative" output?

Find out more

Data Analysis for "Experts"

Dependent Samples

Non Parametric Tests

Non Parametric Tests

If you want to measure the effect of a factor over any population's characteristic, running your experiment on dependent samples is better than independent ones.

Find out more

Non Parametric Tests

Non Parametric Tests

Non Parametric Tests

Did you know that most specific data analysis techniques have strict regulations concerning the data? Not for Non Parametric tests :)

Find out more

Power Analysis

Non Parametric Tests

Power Analysis

What is the sample size required for reliable results? Power tests science will bring a detailed answer on your quest.

Find out more

"Supervised" Machine Learning

Multiple Regressions

Discriminant Analysis

Discriminant Analysis

When explaining a "quantitative" output with one single "quantitative" input is not enough, simple regression, make the inputs ... multiple!

Find out more

Discriminant Analysis

Discriminant Analysis

Discriminant Analysis

If not satisfied by comparing two groups on different variables separately, simply use them all in one single shot with Discriminant Analysis!

Find out more

Decision Trees

Discriminant Analysis

Support Vector Machines

Frequently, you would like to separate your data sets in groups that are homogeneous to better describe their behaviors. Decision Trees are your best choice then.

Find out more

Support Vector Machines

Support Vector Machines

Support Vector Machines

Many roads lead to Rome! The same when predicting (mainly) a "qualitative"  output from different inputs. Though complex to apply, SVMs are powerful classifiers and ... estimators! 

Find out more

k Nearest Neighbors

Support Vector Machines

k Nearest Neighbors

If your nearest neighbor lives in a fancy house, you might or might have the same life standard. But if your 10 (K) nearest neighbors live in luxurious places, then most likely you are rich as well!

Find out more

Naive Bayes

Support Vector Machines

k Nearest Neighbors

For the fans of prediction via probabilistic methods, you cannot be better served than with Naive Bayes.

"Unsupervised" Machine Learning

Principle Component Analysis

Principle Component Analysis

Principle Component Analysis

Did you ever know that you can visualize a 4 or even 10 dimensional data information into one single plane?

Yes you can!

Find out more

Multi Dimensional Scaling

Principle Component Analysis

Principle Component Analysis

A is like B, but B is different from C, similar to D.

If you cannot illustrate similarities between the letters, the MDS will do it! By the way, only experts can tell the difference between MDS and PCA. 

Find out more

Clustering Analysis

Principle Component Analysis

Correspondence Analysis

They who are alike, are put in same groups. Those obtained clusters are then identical from inside, but are different from each others on the outside.

Find out more

Correspondence Analysis

Correspondence Analysis

Correspondence Analysis

Englishmen speak English, but English is a universal language! However, Chinese language is exclusive for Chinese and vice versa. The CA will translate that into a simple map!

Find out more

Quadrant Analysis

Correspondence Analysis

Quadrant Analysis

The concept is easy, but the content can span from simple information up to most complex KPIs. Depends on you knowledge and experience in data analytics!

Find out more

"Reinforcement" Learning

Agent and Environment

Markov Decision Process

Agent and Environment

Another way of learning is to set an agent free in a environment and let it explore the path to your ultimate objective. 

Q - Learning

Markov Decision Process

Agent and Environment

It is the summary results of all explored episodes by the agent, delivering a "learned" guidance matrix to reach ultimate objective.

Markov Decision Process

Markov Decision Process

Markov Decision Process

MDP is the "policy" finder that will allow the agent to optimize the reward during its quest for the ultimate objective.

Deep Learning

Artificial Neural Networks

Artificial Neural Networks

Artificial Neural Networks

Designed to think like humans, Artificial Neural Networks try to replicate human decision making as possible as they can, but at the speed of light.

Find out more

Convolution N.N

Artificial Neural Networks

Artificial Neural Networks

An advanced and more sophisticated version of ANN, CNNs are image recognition algorithms that revolutionized AI.

Find out more

Recurrent N.N

Artificial Neural Networks

Long & Short Term Memory

Highly efficient in text mining, translation, and sentiment analysis, RNNs are specific Neural Network that conveys text memories through its hidden layers for ... text prediction.

Find out more

Long & Short Term Memory

Long & Short Term Memory

Long & Short Term Memory

An enhancement of the RNN, LSTMs are empowered with a stronger memory from the past. Therefore, its accuracy is stronger, but at the price of its complexity.

Find out more

Gated Recurrent Unit

Long & Short Term Memory

Gated Recurrent Unit

A simplified version of LSTM with less tensors inside the main cell. Its usage should be justified with proven advantages over its predecessor.

Find out more

Natural Language Processing

Text Preparation

Sentiment Analysis

Sentiment Analysis

Text preparation is the prerequisite to all NLP algorithms. It is about  cleaning text from any confusing structure prior to analysis.

Find out more

Sentiment Analysis

Sentiment Analysis

Sentiment Analysis

"This movie is like those I like most. But I didn't like it though!" Is my sentiment Positive or Negative?

Find out more

Topic Modeling

Sentiment Analysis

Bag Of Words & TF-ITF

To find most relevant topics in a text is to highlight key words and quantify their importance in a model. 

Find out more

Bag Of Words & TF-ITF

Bag Of Words & TF-ITF

Bag Of Words & TF-ITF

When words taken apart might lead to confusion, several should then be put in one "bag" and used together.

Find out more

Word2Vec

Bag Of Words & TF-ITF

Word2Vec

"Apple day keep doctor" ... "Away". Completing the sentence was possible with Word2Vec.

Find out more

Big Data & Related

Big Data

Internet of Things

Internet of Things

    Extension of the BI, the Big Data program covers the complete tools and techniques related to the Ingest - Store - Prepare – Serve four layers, as well as the architectures behind a successful implementation. 

Find out more

Internet of Things

Internet of Things

Internet of Things

Millions of devices are connected to the web with trillions of actions. This workshop covers how the flow of information runs, by covering IoT virtualization, containerization, protocols and architecture best practices.

Find out more

Cyber Security

Business Intelligence

Business Intelligence

With the increase of the technological ecosystem, specifically on the web, infiltrating secure information is becoming an ease task. To counter the increasing daily hacking attacks, cyber security is getting an avoidable discipline for all type of companies.

Find out more

Business Intelligence

Business Intelligence

Business Intelligence

It is the "must" knowledge prior to Big Data. This workshop covers the four classic layers of data management starting with the ingestion of data and ending with analysis & visualization. And in between all about ETL and data warehousing.

Find out more

Forecasting Methodologies

Trends

Exponential Smoothing

AVERAGING

In the series of forecasting, Trends are the most basics. Yet knowing them is essential to understand the logic behind more sophisticated and complex ones.

Find out more

AVERAGING

Exponential Smoothing

AVERAGING

Forecasting frequently depends on historical data, at least the very previous ones. Moving averages methods are quite effective and easy to implement.  

Find out more

Exponential Smoothing

Exponential Smoothing

Exponential Smoothing

More sophisticated than Moving Averages, Exponential Smoothing algorithms take into account "trend" and "seasonality" in its both exploding or vanishing effect.

Find out more

Time Series

ARIMA Models

Exponential Smoothing

Time Series allow to breakdown effects on sequential data variability into four components, facilitating the comprehension of their impact on the near future estimation.

Find out more

ARIMA Models

ARIMA Models

ARIMA Models

Different from all other methods, ARIMA holds its specificity by accounting on previous estimations as well as on their incurred "errors"!

Find out more

Industrial Quality Control

SPC for "Measurements"

Process Capability Analysis

SPC for "Measurements"

The proper behavior of processes is monitored with SPC charts. Now if the output is a quantitative characteristic, SPC for "measurements" are to implement.

Find out more

SPC for "Attributes"

Process Capability Analysis

SPC for "Measurements"

SPC for "attributes" apply for qualitative outputs.  Both categories inform if the process production is under control only, but not necessarily within specs!

Find out more

Process Capability Analysis

Process Capability Analysis

Process Capability Analysis

How can you make sure that all the production falls within the required specifications? Your process capability indicators should all be satisfactory.

Find out more

R&R Analysis

Design Of Experiments

Process Capability Analysis

How can you be sure that an uncontrolled process is really affected by an external factor? What if measures themselves are not controlled? R&R will let you know that.

Find out more

Design Of Experiments

Design Of Experiments

Design Of Experiments

Increasing or decreasing an output depends how you calibrate your inputs? DOE helps finding out the combination that will make you reach the desired output.

Find out more

AI in Manufacturing

Design Of Experiments

Design Of Experiments

Manufacturing alike other industries, is invaded by AI tools and methods.

As an example, the "digital twinning" might cut costs on many daily mishaps. 

Epidemiology and Healthcare

Measures in Epidemiology

Measures in Epidemiology

Measures in Epidemiology

Epidemiology has its own specificity in statistical measures. They all relate with epidemics, mortality, etc. 

Find out more

Studies in Epidemiology

Measures in Epidemiology

Measures in Epidemiology

 Studies in epidemiology are grouped in four categories. Some are close from classic researches (descriptive) but some have their very own specificity (Etiological).

Find out more

Measurement Properties

Measures in Epidemiology

Diagnostic Tests Performance

  What if you are diagnosed positive at the time you are not. To be confident, you should simply ask for the "False +" and "False -" rate of the adopted test. 

Find out more

Diagnostic Tests Performance

Diagnostic Tests Performance

Diagnostic Tests Performance

Many indicators and illustrations exist to evaluate how reliable are your predictions. ROC chart is one of the most straightforward illustration: All the more stretched to the upper left corner, all the more your tests outputs are reliable.

Find out more

Survival Curves

Diagnostic Tests Performance

Survival Curves

With their original goal for tracking death rate through time, S.C can be used in many other situations, even opposite to their primary objective: tracking health recovery! 

Find out more

Tools 1

Excel

STATISTICA

Excel

Data Visualization, Descriptive Statistics, Data Analysis and Trends.  

Find out more

SPSS

STATISTICA

Excel

Descriptive Statistics, Data Analysis, Machine Learning and Forecasting. 

Find out more

STATISTICA

STATISTICA

STATISTICA

Descriptive Statistics, Data Analysis, Machine Learning, Forecasting and Quality Control Measures.  

Find out more

Tableau

Power BI

STATISTICA

Descriptive Statistics, Data visualization and basics of Data Analysis and Forecasting.

Find out more

Power BI

Power BI

Power BI

Data visualization and Dash-boarding.

Find out more

Tools 2

Alteryx

SAS - Enterprise Guide

SAS - Enterprise Guide

Building flow chart with complete analysis tools.

Find out more

SAS - Enterprise Guide

SAS - Enterprise Guide

SAS - Enterprise Guide

Descriptive Statistics, Data Analysis, Machine Learning and Forecasting.  

Find out more

SAS - E Miner

SAS - Enterprise Guide

SAS - E Miner

Machine Learning and Advanced Predictive models.

Find out more

R Studio

R Studio

SAS - E Miner

Descriptive Statistics, Data visualization, Data Analysis, Machine Learning and Forecasting.  

Find out more

Python

R Studio

Python

 Descriptive Statistics, Data visualization, Data Analysis, Machine Learning and Forecasting.   

Find out more

Copyright © 2018 Walid Semaan - All Rights Reserved.

  • Privacy Policy

Powered by GoDaddy