Data Science • Machine Learning • AI • Analytics • Founded by Gregory Piatetsky-Shapiro • Edited by @mattmayo13 • KD stands for Knowledge Discovery
San Juan, PR
- Tweets 86,192
- Following 355
- Followers 219,811
- Likes 867
#DataVisualization of people votes. Land doesn't vote. People do.
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C++ for Python Programmers — A free online book for Python Programmers to learn C++ runestone.academy/ns/books/p…
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Master these foundational skills to begin your journey to becoming a Data Scientist. buff.ly/34di6Go
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Naïve Bayes Algorithm: Everything You Need to Know #MachineLearning #KDnuggets kdnuggets.com/2020/06/naive-…
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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
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Telling a Great Data Story: A Visualization Decision Tree #dataviz #KDnuggets kdnuggets.com/2021/02/tellin…
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Data Scientist, Data Engineer & Other Data Careers, Explained - KDnuggets buff.ly/33XHVdq
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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
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The #DeepLearning Course by top #AI researcher Yann Lecun at NYU CDS is Now Fully Online & Accessible to All @ylecun @alfcnz @NYUDataScience buff.ly/3fnKpGW
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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
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Mona Lisa smiles, speaks, and frowns: #Machinelearning brings old paintings and photos to life techcrunch.com/2019/05/22/mo…
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How to Get Your First Job in Data Science without Any Work Experience - KDnuggets buff.ly/3rkVygy
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Increase your expertise in machine learning with a foundational understanding of Bayesian Statistics. buff.ly/2P5nXpK
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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
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Free MIT Courses on Calculus: The Key to Understanding Deep Learning - KDnuggets buff.ly/3iFG4A7
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#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
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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."
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Machine Learning for Kids using Scratch
These projects are downloadable step-by-step guides, with explanations and colour screenshots for students to follow.
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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
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Free MIT Courses on Calculus: The Key to Understanding #DeepLearning - KDnuggets bit.ly/3oOiCp0
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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. buff.ly/3juqfyb
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A collection of Jupyter notebooks NumPy, Pandas, matplotlib, basic #Python #MachineLearning buff.ly/2lTbDe7
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Naïve Bayes Algorithm: Everything You Need to Know #MachineLearning #KDnuggets kdnuggets.com/2020/06/naive-…
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state-of-the-art in #AI, #MachineLearning
- 530 leaderboards • 974 tasks • 712 datasets • 9205 papers with code
- Computer Vision
- Natural Language Processing
- Medical
- Speech
and more
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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
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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. buff.ly/3dz01ol
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11 Branches of #MachineLearning and 63 Important Machine Learning Algorithms - Introduction buff.ly/3kqZWHd
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The Complete Collection of Data Science Books - Part 1
#DataScience #KDnuggets
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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.
kdnuggets.com/2023/05/bard-d…
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“I have a #machinelearning #joke, but it is not performing as well on a new audience" - a selection of the nerdy self-referential computer #humor @ylecun @hacklavya @memosisland @dbredesen @pauljmey @AmeyKUMAR1 @micheleveldsman @olimould @burkov buff.ly/30jJxNr
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Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch buff.ly/2JXzqWn
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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. buff.ly/2Z9sCxq
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20 Python packages. Know them. Use them. Become a data science superstar with them. buff.ly/3BUKvA0
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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. bit.ly/31uWz9H
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A Simple Guide to Machine Learning Visualisations
#MachineLearning #DataVisualization #KDnuggets kdnuggets.com/2022/04/simple…
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The quality of these notes by @TessFerrandez cannot be overstated - Notes from Coursera #DeepLearning courses by Andrew Ng buff.ly/2FpWZ9E
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Top 13 Skills That Every Data Scientist Should Have #DataScience #KDnuggets kdnuggets.com/2022/03/top-13…
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Turn #Python Scripts into Beautiful ML Tools -
with Streamlit, an app framework built for #MachineLearning engineers buff.ly/2nmwYk4
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7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning buff.ly/2H9ZcXS
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fast.ai Machine Learning Course Notes - a set of fantastic notes on the freely available fast.ai machine learning MOOC buff.ly/2KSX30p
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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. bit.ly/2WTAYbc
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#scikit-learn is used by 48% of @Kaggle champions, #Tensorflow by 16%, Keras by 14% - 2018 Kaggle Survey buff.ly/2E02Vp3
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How @Netflix works: the (hugely simplified) complex stuff that happens every time you hit Play buff.ly/2lWtBij
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Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild #AI #photography #selfie #DeepLearning buff.ly/2XzUk4q
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