Deep Learning
AI content
20
Dec
18
Dec
AI Technology Landscape
Tags:
AI,
artificial intelligence,
artificial neural network,
autoencoder,
CNN,
convolutional neural network,
deep learning,
Disrupt4.0,
e-learning,
feature discovery,
feature extraction,
feature learning,
learning,
machine learning,
ML,
neural networks,
representation learning,
representations,
training,
13
Dec
Machine Learning Algorithms – A Summary
Tags:
Bayesian,
Clustering,
datascience,
deep learning,
Evolutionary Algorithms,
Inductive Logic Programming (ILP),
Information Fuzzy Network,
Machinelearning,
ML,
neural networks,
Reinforcement Learning (Q-Learning,
State-Action-Reward-State-Action (SARSA),
Support Vector Machines (SVM),
Temporal Difference,
11
Dec
28
Nov
28
Nov
06
Nov
Lack of Skilled Workers, the biggest roadblock to AI adoption
Universally there is agreement that artificial intelligence offers the promise of revolutionary benefits, recent survey findings from Gartner reveal almost 60 percent of organizations surveyed have yet to take advantage of the benefits of AI. Only a little more than 10 % of surveyed businesses have deployed or implemented any AI solution at all. CellStrat […]
06
Nov
Implementation of AI in Agriculture
Artificial intelligence has huge scope in the field of agriculture. Monsanto is a well-known company working in this direction. It develops products and tools to help farmers around the world grow crops while using energy, water and land more efficiently. They believe innovation has the potential to bring humanity’s needs in balance with the resources of our […]
Tags:
agriculture,
AI,
artificial intelligence,
climate,
deep learning,
farming,
machine learning,
ML,
monsanto,
nature,