A naukri.com initiative
Medium
3w
30
Image Credit: Medium
Demystifying AI: What is Machine Learning?
- Machine Learning is a subset of AI that enables machines to learn from data without explicit programming rules.
- The journey of Machine Learning can be divided into three key eras: Early Foundations, The Rise of Machine Learning, and The Deep Learning Revolution.
- From the 1950s to the 1980s, early developments of AI and ML focused on rule-based systems and neural networks like the Perceptron.
- The 1990s to 2010s saw a shift to data-driven statistical models like Decision Trees and SVMs, leading to the rise of Machine Learning applications.
- The 2010s onwards marked the Deep Learning revolution, with advancements in neural networks leading to human-level performance in various domains.
- Machine Learning involves steps such as data collection, preprocessing, model selection, training, predictions, evaluation, and continuous improvement loop.
- Key milestones in Machine Learning history include IBM's Deep Blue beating Garry Kasparov in chess, Geoffrey Hinton's work on deep learning, and breakthroughs in computer vision and NLP.
- Recent advancements like GANs, BERT, and GPT have revolutionized AI applications in image recognition, language processing, and chatbots.
- The impact of Machine Learning is evident in everyday life, from search engines to conversational AI like ChatGPT, showcasing the evolution of AI technology.
- Machine Learning's systematic approach involves data collection, preprocessing, model training, predictions, evaluation, and iterative improvement to enhance model performance.
- Supervised and unsupervised learning methods play a crucial role in Machine Learning, enabling diverse applications across various industries.
Read Full Article
1 Like
For uninterrupted reading, download the app