Python for beginners
Python is one of the basic programming languages used in designing artificial intelligence and machine learning. This is one of the simplest programming languages.
1. Python 101. From installing Python through creating 'multiplier' to creating Artificial Intelligence using Machine Learning
Python for trading
You can find here the tutorials for people who would like to use Python, AI and ML for trading.
Free Original Online Tutorials4 (easy). Easy to use trading bot in Python with MA, MACD, RSI, Stochastic, BB, MFI, and Candlestick Patterns, with backtesting, optimization, and live paper trading (using TA, TA-Lib, vectorbt, Alpaca) + 13 TRADING STRATEGIES TESTED
4 (full). How to create a trading bot in Python (4) /FULL (part 1 and 2)/ with backtesting (vectorBT), MA, MACD, RSI, Stochastic, BB, MFI, 8 Candlestick Patterns, and live paper-trading (Alpaca)
4_1. How to create a trading bot in Python (4) /PART 1/ with backtesting (vectorBT), MA, MACD, RSI, Stochastic, BB, MFI, 8 Candlestick Patterns, and live paper-trading (Alpaca)
3. How to create a trading bot in Python (3) with 4 candlestick patterns and 2 indicators (Hammer, Shooting Star, Morning Star, Evening Star, RSI, and Bollinger Bands) + how to do visualize data on charts. Using Alpaca and Anaconda.
2. How to create a trading bot in Python (2) - for beginners, using RSI, TA-lib, Alpaca, Anaconda (in 15-lines of code).
1. How to create a simple stock trading bot in Python (in 10-lines of code) with Alpaca and Anaconda? For complete beginners (non-programmers / non-traders).
Practical AI / ML for beginners
You will find here the original courses for people who would like to use AI and ML for marketing, business, science, and more. You'll learn about Python and its libraries that can help you create your own AI programs.
1. AI/ML 101. From Chat GPT to Decision Trees and back and beyond - introduction to AI and machine learning in Python
DATA ANALYSIS WITH MACHINE LEARNING ALGORITHMS - WHAT IT IS USED FOR
(1) BUSINESS
Using News to Predict Stock Movements
House / heavy equipment / etc. prices prediction
Store Items demand - predicting future sales
Restaurant Visitors Forecasting
Product Recommendations
AirBnb New User bookings
Raising money by more efficiently target and recruit loyal donors
Image masking (cutting out a picture of a car and placing it in various locations)
Shops without cashiers
(2) MEDICINE
Pneumonia Detection
Personalized medicine – predicting the effect of genetic variant to cancer treatment
Cancer detection (skin, lungs)
Cervical cancer treatment (decision based on the position of cervix)
Seizure Prediction
Flue forecasting
(3) BIOLOGY AND OTHER SCIENCES
Human Protein Atlas Image Classification
Plant seedlings classification
Ultrasound Nerve Segmentation
Identifying hand motions from EEG recordings
Conectomics - reconstructing the wiring between neurons from fluorescence imaging of neural activity
Predicting biological responses of molecules from their chemical properties
(4) TRANSPORT
Autonomic vehicles
(5) SAFETY
Passenger Screening - threat detection
(6) AND MORE...
more info
If you want to know more, you might want to read / watch this (below)...
Wikipedia
If you are a Wiki-reader, you might start from Wiki and check what Wiki-people (people who write content for Wiki) know and think about artificial intelligence, machine learning, etc.
They usually know a lot about everything... And this time their knowledge is no different than other times... They do know a lot. So... here it comes... You may find info, written by Wiki-people, thanks to these "magic words" and Wikipedia site (hope you know what to do):
- Machine Learning
- Artificial Intelligence
- Outline of artificial intelligence
- Glossary of artificial intelligence
- Intelligent agent
- Outline of machine learning
- Comparison of deep learning software
- List of datasets for machine learning research.
And for dessert: - Human intelligence.
This one is really interesting, because for now, it is the most advanced intelligence known to human that we are using for all comparisons... (and some say that it's definitely not enough)... But, seriously...
It is important to understand what we already know (and what we're still missing) about human intelligence and its biological and psychological components, so to be able to think deeper about that artificial superintelligence some are trying to create.
And now, if you already know a bit or two about artificial intelligence, you may find some newest facts about research regarding these topics in scientific journals.
journals
Nature - well, it's always good to read 'Nature', it's not only about AI, but it's one of the most known scientific journals
Science - it's like with 'Nature', it's not strictly about AI, but if there is something about it, you may be sure that it's important
ArXiv - preprints of articles regarding artificial intelligence, but also from physics, general computer science, etc.
And if you've read all this, now you know a lot... So let's go further... So...
