Tag: machine learning

AutoML: Present and Future

AutoML (Automated Machine Learning) refers to the process of automating the machine learning pipeline, including tasks such as model selection, hyperparameter tuning, and architecture design. The goal of AutoML is to make building and deploying ML models easier and more accessible to non-expert users. To achieve this goal, a number of AutoML libraries have been […]

Exploring the Future of Automated Decision-Making

Automated decision-making refers to the use of technology, such as algorithms and machine learning models, to make decisions without human intervention. These decisions can be made based on data analysis, patterns, and other inputs. Automated decision-making systems can be used in a variety of industries and for a wide range of tasks, such as fraud […]

Steps to become an AI and Machine Learning Developer

Becoming a successful AI and Machine Learning (ML) developer requires a combination of technical skills, experience, and a deep understanding of the field. Here are some steps you can take to begin your journey: By following these steps, you can develop the skills and knowledge needed to become a successful AI and ML developer. Remember […]

Top 10 Machine Learning Algorithms Summary

Here are summary of top Machine Learning algorithms for beginner in Data Science: Here is a list of further readings for machine learning: Note: These books cover the basics of machine learning, as well as more advanced topics, and are suitable for individuals with varying levels of experience and knowledge.

Steps to become a Deep Learning Engineer in Malaysia

Here are some steps to become a deep learning engineer in Malaysia: It’s important to note that the field of deep learning is constantly evolving, and the steps listed above may change over time. Additionally, while these steps can help increase your chances of becoming a professional deep learning engineer, it is not a guarantee.

Deep Learning Algorithms Comparison

Deep learning is a subset of machine learning (ML) where artificial neural networks (ANNs) algorithms inspired by the human brain can learn directly from large amounts of data. Deep learning utilizes a multi-layered hierarchical level of ANNs to perform the main process of machine learning (feature extraction and classification) and deliver high accuracy in tasks […]