Read how machine learning has evolved to make breakthroughs in speech and visual recognition, threat/risk analysis and gaming.
Read here our best posts on machine learning. Your home for data science. A Medium publication sharing concepts, ideas and codes.
The latest in data science, machine learning, MLOps and AI. Generative AI, large language models (LLMs) and more. For data science leaders, IT leaders, and practitioners.
Data science deals with statistics, mathematics, and computer programming to extract information from any given data. It is called Exploratory Data Analysis. Data analysis is the fundamental building block of machine learning. One of the most important skills for a Data Science career is to understa...
Energy.Machine learning has shown promise for a wide range of energy sector tasks, including energy consumption forecasting and predictive maintenance for infrastructure such as wind turbines. The difference between data science and machine learning ...
Machine Learning for Data Science and Information Retrievaldoi:10.2174/266625581405210129162123No AbstractPriya, R. V.Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science)
Telemonitoring Parkinson’s disease using machine learning by combining tremor and voice analysis With the growing number of the aged population, the number of Parkinson’s disease (PD) affected people is also mounting. Unfortunately, due to insufficient resources and awareness in underdeveloped countrie...
DataScience-Reference.md README.md datascience-machinelearning-algorithms.md datascience-machinelearning.md machinelearning-is-fun-for-anyone-curious-about-ml.md Breadcrumbs DataScience-And-MachineLearning-Handbook-For-Coders / Latest commit wxyyxc1992 ...
Deep Learning in Big Companies Google:Buying Deep Mine for $400 Million. Self Driving Car. Apple:Self Driving Car. Nvidia:GPU’s innovation. Toyota:AI research investment of $1 Billion. Facebook:Face Recognition. Conclusion About Machine Learning, AI, Deep Learning, and Data Science ...
Option 1: The complete course: Foundations of data science for machine learning This path is recommended for most people. It has all the same modules as the other two learning paths with a custom flow that maximizes reinforcement of concepts. If you want to learn about both the underlying con...