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2021-04-20 06:55:53 A checklist to track your Data Science progress! Read the detailed article here. Open / Comment

2021-04-18 08:27:29 MLI's community event: Free Webinar: AI in Marketing

Sunday (Today), Apr 18 • 11:00 – 11:50 AM
Google Meet joining info
Video call link: https://meet.google.com/dmu-pued-ywk

- Kindly mute yourselves while joining! Open / Comment

2021-04-17 13:38:51 Have you subscribed to our newsletter yet?

If not, you're missing out on monthly updates on the advancements in the fields of AI and ML! Also - no spam, only value, we promise!

Subscribe here: http://bit.ly/mli-newsletter Open / Comment

2021-04-16 15:20:21 Earth Science related Datasets and corresponding links!

AQUASTAT - Global water resources and uses.
BODC - marine data of ~22K vars
Earth Models
EOSDIS - NASA’s earth observing system data
Integrated Marine Observing System (IMOS) - roughly 30TB of ocean measurements or on S3
Marinexplore - Open Oceanographic Data
Smithsonian Institution Global Volcano and Eruption Database
USGS Earthquake Archives

Share with your tech-circle, or whoever might find this useful! Stay subscribed to @machinelearning24x7 for more! Open / Comment

2021-04-15 12:45:38 Machine Learning pinned a photo Open / Comment

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2021-04-15 12:45:25 Open / Comment

2021-04-15 08:37:37 Machine Learning pinned a photo Open / Comment

2021-04-15 08:37:24 Core data science topics/echniques:

Linear Regression
Logistic Regression
Jackknife Regression 
Density Estimation
Confidence Interval
Test of Hypotheses
Pattern Recognition
Clustering - (aka Unsupervised Learning)
Supervised Learning
Time Series
Decision Trees
Random Numbers
Monte-Carlo Simulation
Bayesian Statistics
Naive Bayes
Principal Component Analysis - (PCA)
Ensembles Neural Networks
Support Vector Machine - (SVM)
Nearest Neighbors - (k-NN)
Feature Selection - (aka Variable Reduction)
Indexation / Cataloguing 
(Geo-) Spatial Modeling Open / Comment

2021-04-14 15:41:52 Free Course + Certificate

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Through an experiential learning approach, the course will take you through the following fundamental analytical concepts:
Collection of Data: Population and Sampling
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Measures of Location and Variability
Basic Bi-variate Analysis
Probability Distribution (s)
Statistical Inference – Estimation and Hypothesis Testing

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Happy Learning! Open / Comment