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Beskrivelse
Learn Artificial Intelligence App provides a refreshing and motivating new synthesis of the field of Artificial Intelligence: A New Synthesis takes the user on a complete tour of this intriguing new world of Artificial Intelligence.
Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do.
* Learn Artificial Intelligence / Learn AI
Artificial intelligence is the intelligence demonstrated by machines, in contrast to the intelligence displayed by humans.
This app covers the basic concepts of various fields of artificial intelligence like Artificial Neural Networks, Natural Language Processing, Machine Learning, Deep Learning, Genetic algorithms etc., and its implementation in Python.
* Learn Machine Learning / Machine Learning with python Free
Machine Learning is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do. In simple words, ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method. The key focus of ML is to allow computer systems to learn from experience without being explicitly programmed or human intervention.
* Learn Deep Learning
Deep Learning essentially means training an Artificial Neural Network (ANN) with a huge amount of data. In deep learning, the network learns by itself and thus requires humongous data for learning.
* Learn Python free
Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License.
* Learn Data Science / Python Data Science tutorial
Data is the new Oil. This statement shows how every modern IT system is driven by capturing, storing and analyzing data for various needs. Be it about making decision for business, forecasting weather, studying protein structures in biology or designing a marketing campaign. All of these scenarios involve a multidisciplinary approach of using mathematical models, statistics, graphs, databases and of course the business or scientific logic behind the data analysis. So we need a programming language which can cater to all these diverse needs of data science. Python shines bright as one such language as it has numerous libraries and built in features which makes it easy to tackle the needs of Data science.
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