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.
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
Handling Missing Values in Python: Complete Guide (Feature Engineering & Data Cleaning)
Scikit-Learn for Machine Learning: Complete Guide (Linear Regression, SVM & Random Forests)
Text Normalization: The First Step in NLP! (Text Preprocessing Guide)
Deep Learning for Temperature Conversion | Celsius to Fahrenheit with TensorFlow
Text Classification with TensorFlow RNN | Easy-to-Follow Example
Predicting Daily Sales | Machine Learning for Revenue Forecasting
Trading Bot with Reinforcement Learning: Gym & AnyTrading in Action
Selenium Web Scraping: Automate Text Translation & File Processing
Sales Data Analysis Using AWS QuickSight | Dashboard Building Guide
OpenAI API Basics to Chatbot Creation: A Complete Beginner's Guide
PySpark Project: Analyze Student Data Using RDD Part 2
PySpark Project: Analyze Student Data Using RDD
Python Face Detection & Recognition | Complete Project Guide
How to Use TensorFlow Hub for Transfer Learning in Neural Networks
How to Undo a Pushed Commit in Git Using Visual Studio (Beginner's Tutorial)
Deep Learning for Face Recognition: Siamese Network + VGGFace Explained
ETL Project | Load Data from S3 to RDS Complete Guide
Facebook Automation Tutorial - Easy Steps to Boost your Efficiency
Real-Time Multiple Object Tracking with WebCam and Annotation Saving - Complete Guide
Multiple Object Detection Using Python & OpenCV: Practical Computer Vision Project Python