AI-powered search & chat for Data / Computer Science Students
New learning resources
Llama-2 vs. Llama-3: a Tic-Tac-Toe Battle Between Models
About a week before the time of writing this story, new open Llama-3 models were released by Meta. As claimed by Meta, these are โthe best models existing today at the 8B and 70B parameter scales.โ Fo...
Read more at Towards Data ScienceMOMENT: A Foundation Model for Time Series Forecasting, Classification, Anomaly Detection
Foundation models have ignited the applications of LLMs in time series. In the past few months, we saw the release of novel forecasting models like TimesFM , TimeGPT , and of course Salesforceโsโฆ
Read more at Towards Data ScienceTrending Topics
Learn Python
โถ๏ธ Basic Functions
Syntax | Variables | Conditions | Data Types | Numbers | Strings | Formatting | Operators | Generators | Decorators | Functions | Lists | Tuples | Sets | Dictionaries | Parameters | Arguments | Arrays | Linked Lists | Hash Tables | Binary Search Trees | Recursion | Sorting Algorithms | Exception Handling | Serialization
๐ Advanced Functions
RegEx | Decorators | Lambdas | Iterators | Classes | Inheritance | Methods | List Comprehensions | Generator Expressions | PyPi | PIP | Conda
๐ Frameworks
Django | Flask | CherryPy | Bottle | Dash | | PyTest | Scrapy | PyScript |
๐ Libraries
TensorFlow | Scikit-Learn | Numpy | Keras | PyTorch | SciPy | Pandas | Theano | Seaborn | OpenCV | Bokeh | Matplotlib | Plotly | BeautifulSoup | SymPy | Pillow
๐งฐ Other Tools
Selenium | PyCharm | PyTest | Jupyter Notebook | Faker | PyGame | Tkinter
Learn Data Science
โถ๏ธ Basics
Linear Algebra | Databases | Tabular Data | Time Series | Extract, Transform, Load | Data Formats | Regular Expressions | Important libraries |
๐ป Programming languages for Data Science
SQL | R | Python
๐ Python for Data Science
Syntax | Variables | Data Types | Functions | Numbers | Operators | Important libraries
๐ Data Sources
Data Mining | Web scraping | Public Data Sets
๐ Exploratory Data Analysis
Principal Component Analysis | Dimensionality Reduction | Normalization | Data Cleaning | Estimators | Feature Extraction | Sampling
๐ข Statistics
Probability Theory | Continuous Distribution | Summary Statistics | Estimation | Hypothesis Testing | Confidence Interval | Monte Carlo Methods
๐ Data Visualization + tools
Storytelling | Charts | Dashboards | Power BI | Tableau | R | Dash | Seaborn | Matplotlib | Bokeh | Plotly
Learn Machine Learning
๐ Data
Labeling | Exploration | Preprocessing | Splitting | Augmentation
๐งฎ Modeling
Baselines | Evaluations | Experiment tracking | Optimization
โป๏ธ Algorithms
Supervised Learning | Unsupervised Learning | Ensemble Learning | Reinforcement Learning | Linear Regression | Logistic Regression | Decision Tree | Random Forrest | Support Vector Machines | Naive Bayes | KNN Classification | K-Means
๐ Use Cases
Computer Vision | Natural Language Processing | Recommender Systems | Pattern recognition
๐ Frameworks & Libraries
Django | Flask | Keras | Numpy | Pandas | Scikit-Learn | Tensorflow | Matplotlib | PyTorch | Scipy | Hugging Face
๐งฐ Other tools
Docker | Kubernetes | MLflow
Learn Deep Learning
๐ง Neural Networks
Artificial Neural Networks | Convolutional Neural Networks | Recurrent Neural Networks | Transformers | Generative Adversarial Networks | Long Short Term Memory Networks
๐งฎ Training Methods
Optimizers | Learning Rate Schedule | Batch Normalization | Batch Size Effects | Regularization | Multi-task Learning | Transfer Learning
๐ Frameworks & Libraries
Langchain | Django | Flask | Keras | Numpy | Pandas | Scikit-Learn | Tensorflow | Matplotlib | PyTorch | Scipy | Hugging Face
๐งฐ Other tools
Docker | Kubernetes | MLflow