an introduction to python machine learning · machine learning? we will understand why python is a...
TRANSCRIPT
In this session we will look to understand what is
Machine Learning?
We will understand why Python is a great
Language, in particular why it is awesome for
machine learning
Look at some examples of Shallow Learning
and also Deep Learning in Python
Machine learning provides systems the ability to
automatically learn and improve from
experience without being explicitly
programmed.
It relies on underlying hypothesis of creating the
model and tries to improve it by fitting more
data into the model over time.
https://www.quora.com/What-is-the-best-definition-for-machine-learning
Shallow Learning Deep Learning
Input Data
Feature Extraction
Classification
Output
Input Data
Feature Extraction
& Classification
Output
Shallow Learning Deep Learning
Input Data
Feature Extraction
Classification
Output
Input Data
Feature Extraction
& Classification
Output
DS/ML Modules
Numpy – Numerical Python
SciPy – Scientific Python
Pandas - Data wrangling
MatPlotLib - Data visualisation
Scikit-learn - Machine learning (shallow)
XGBoost - Machine Learning (shallow)
….
Keras - Machine Learning (deep)
TensorFlow - Machine Learning (deep)
NLTK - Natural Language processing
Python!
You need to be learning Machine
Learning. Software is changing.
Software 2.0 is a combination of
engineering and ML.
Start learn Python for ML
Thank you
www.advancinganalytics.co.uk
@AdvAnalyticsUK
Python, Docker, Kubernetes!
Take your machine learning models from idea to
production.
April 26th Exeter – Data In Devon
https://sqlsouthwest.co.uk/training-day-schedule/#MachineLearning
Python!
You need to be learning Machine
Learning. Software is changing.
Software 2.0 is a combination of
engineering and ML.
Start learn Python for ML
Thank you
www.advancinganalytics.co.uk
@AdvAnalyticsUK
• Traditional Analytics
• Data Warehousing
• Data Visualisation
• Report development
• SSAS / Power BI
Business Intelligence
• Mathematics
• Advanced Statistics
• Machine Learning
• Natural Language
Processing
• Optimisation
• AI
Data Engineering
• Model deployment
• Model management
• Model monitoring
• Automated retraining
• DataOps
Data Science