A naukri.com initiative
Medium
1w
101
Image Credit: Medium
The Simplest Machine Learning Guide You’ll Wish You Had Earlier
- Machine learning simplifies our life by optimizing our interactions with technology and decision-making processes.
- Machine learning eliminates the need for explicit instructions by allowing computers to learn and grow from experience.
- Machine learning models are more adaptable and can adapt to unforeseen inputs and variances over time.
- Machine learning is data-centric and the system works better when provided with more relevant and high-quality data.
- Machine learning systems differ from conventional programming as pattern recognition is the goal, and instead of explicitly programming rules, the system discovers them by evaluating data.
- The foundation of machine learning is built on algorithms, data and models to inspire innovation and cater to various sectors like healthcare, finance, transport and more.
- Machine learning can be divided into three types- reinforcement learning, unsupervised learning, and supervised learning, with different methodologies and applications.
- Machine learning relies heavily on data and tools like Python, scikit-learn, TensorFlow, PyTorch, and Keras, and the future of ML is constantly evolving.
- Machine learning is the key to decoding some of the most challenging issues worldwide, and it all starts with eagerness to learn and discover.
- While machine learning can be complex, accessible resources like tutorials, blogs, newsletters and conferences are available for newcomers to start their journey towards machine learning proficiency.
Read Full Article
6 Likes
For uninterrupted reading, download the app