AI Sciences
AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere.
We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars.
We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience.
Понимание персептрона | Фонд DNN для глубокого обучения с подкреплением (с PyTorch)
Аналогии слов в НЛП: понимание взаимосвязей слов и их реализация на Python
Нейронный машинный перевод на Python | Модель кодировщика-декодера с функцией внимания с использо...
Проект по сбору данных Python: извлечение данных фильмов IMDb (BeautifulSoup4)
Необходимость глубокого обучения для обработки естественного языка | Установка PyTorch, тензоры и...
Обработка изображений с помощью Python | Учебное пособие по размытию, обнаружению краёв и повышен...
Embedded Methods for Feature Selection | Machine Learning with Python Example
Wrapper Methods for Feature Selection in Machine Learning | Theory and Python Implementation
Feature Selection in Machine Learning | Filter Method & Python Implementation
Python Bokeh Tutorial | Create Interactive Plots, Multiplots & Grid Layouts
Image Processing Basics in Python | RGB Channels Explained & Grayscale Transformation
K-Means Clustering Explained & Coded from Scratch in Python
Machine Learning Classifier from Scratch in Python | Distance-Based Classification
Build a Machine Learning Model from Scratch in Python | Linear Regression Full Tutorial
Complete Pandas Tutorial for Data Science in Python | Series, DataFrames, and Cleaning Data
Vocabulary Building for Sentiment Classification using RNN in NLP with Python
Classification & Clustering in Machine Learning | Full Python Tutorial for Beginners
Learn Regression with Real Examples in Python | Machine Learning Tutorial
Understanding Features in Machine Learning + Python Practice | ML Methods
Implementing Recurrent Neural Networks for Text Classification in TensorFlow
Complete Web Scraping Guide Using BeautifulSoup | Python Tutorial
PySpark Project: Advanced DataFrame Operations | Filtering, UDFs, withColumn & Writing to CSV
Hands-On PySpark Project | Analyze Employees by Department and State with GroupBy & Aggregation
Deep Learning Implementation | Training and Testing Neural Networks in Python
Deep Learning Essentials: One-Hot Encoding, Scaling & Splitting Data for Neural Networks
Time Series Forecasting with RNN | Predicting Birthrate Using Python
Types of Encoding Explained | Python Implementation & Real-World Use Cases
Q-Learning with FrozenLake in OpenAI Gym (Step-by-Step Python Tutorial)
Calculator App Mini Project | ChatGPT Solution & Exception Handling Made Easy
Scrape Movie Titles from IMDB in Minutes! | Python Web Scraping Guide