Difference between
#MachineLearning
and
#AI
:
If it is written in Python, it is probably Machine Learning.
If it is written in Powerpoint, it is probably AI
Top 8 Sources For
#MachineLearning
and Analytics Datasets
1.
@kaggle
datasets
2. Amazon datasets
3. UCI Machine Learning Repository
4. Google Datasets Search Engine
5. Microsoft Research Open Data
6. Awesome Public Datasets Collection
...
Free AI for Beginners Course - Microsoft has put together an AI course for beginners, consisting of a 12 week, 24 lesson curriculum, available for free to all
#AI
#course
#KDnuggets
Explainable AI: 10 Python Libraries for Demystifying Your Model's Decisions
Become familiar with some of the most popular Python libraries available for AI explainability.
#AI
#MachineLearning
#KDnuggets
#DataScience
Cheat Sheet
9-page reference in basic data science that covers basic concepts in probability, statistics, statistical learning, machine learning, big data frameworks and SQL
Free MIT Courses on Calculus: The Key to Understanding Deep Learning - KDnuggets
"Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT."
Machine Learning for Kids using Scratch
These projects are downloadable step-by-step guides, with explanations and colour screenshots for students to follow.
How to get started with
#MachineLearning
and
#Python
in about 10 minutes. Get
Numpy
Pandas
Matplotlib
Seaborn
scikit-learn
jupyter
and do Python ML projects on
@Kaggle
Another Data Science book? When I started working on the book "Roman's Data Science: How to Monetize Your Data," I wanted to bridge the gap between the interests of
#business
and
#DataScience
.
Top
#DataScience
&
#MachineLearning
Methods Used in 2018/19:
1. Regression
2. Decision Trees /Rules
3. Clustering
4. Visualization
5. Random Forests
6. Statistics - Descriptive
7. K-Nearest Neighbors
8. Time Series
9. Ensemble Methods
10. Text Mining
Many ML tools and libraries exist to help you do your data science, but a foundation in mathematics is crucial to leverage the full power of these tools.
Bard for Data Science Cheat Sheet
Check out our latest cheat sheet to get you up to speed and provide a handy reference for using Google's LLM chat tool Bard for data science.
Researcher reproduced 130 research papers on "predicting the stock market", coded them from scratch.
Results: every paper was either p-hacked, overfit, or a subsample of favourable data selected, and once you add transaction costs the edge disappears.
The biggest mistake you can make while learning
#Python
for
#datascience
is to learn Python programming from courses meant for programmers. Avoid this mistake, and learn Python the right way by following this approach.
Jupyter offers some benefits to organize our code but many of us still find ourselves with messy and unnecessary code chunks.
Here are some ways including a NEW EXTENSION that anyone can use to begin organizing your code on your notebooks.