News / Blog: #machine-learning

What are data science practices?

1. Data ingestion and analysis: data ingestion is the process of collecting, processing, and analyzing data from various sources to gain useful insights.

2. Data visualization: this is the process of presenting data in visual formats such as charts, graphs, and maps to identify trends and gain insights.

3. Machine learning: machine learning is a branch of artificial intelligence that enables computers to learn from experience without being explicitly programmed.

4. Predictive analytics: predictive analytics is a process of using data to predict possible future events and make decisions based on them.

5. Deep learning: deep learning is a subfield of machine learning in which so-called neural networks are used to solve complex problems.

What is the Bayes theorem?

Bayes theorem is a mathematical theorem that allows to calculate the probability of an event based on known information. It is commonly used in statistics, machine learning, and artificial intelligence. It allows predicted probabilities to be updated based on new information. It also helps determine the cause of an event. It was named after the English mathematician Thomas Bayes, who developed it in the 18th century.

What is GPT3?

GPT-3 (Generative Pre-trained Transformer 3) is a machine learning model developed by OpenAI. It is the largest machine learning model ever constructed and is designed for what is known as "general language processing," which allows machine systems to understand and respond to natural language. By using GPT-3, developers can create machine learning-based applications that support natural language input and output.

What is enterprise digitization?

Enterprise digitization refers to the process by which companies digitize their business processes to optimize the way they handle data, communications and customer interactions. This includes the adoption of digital technologies such as cloud computing, artificial intelligence, machine learning, blockchain and other digital tools to increase efficiency and productivity while reducing costs.

What is machine learning (ML)?

Machine learning is an area of artificial intelligence that deals with the development of algorithms that allow computer systems to learn from experience. These algorithms allow computers to learn from examples to solve complex tasks without being explicitly programmed. Machine learning is a constantly evolving approach that enables computer systems to solve increasingly complex tasks.