Machine Learning & Deep Learning
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Deep Learning with Python
Deep learning is a branch of machine learning that aims to understand patterns in large data sets using complex and multi-layered model structures such as artificial neural networks, and its algorithms are often based on a model called a neural network. This neural network is used to learn complex relationships in the data set. Such models require...
Machine Learning With Big Data
Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from...
Understanding Machine Learning
Machine Learning is a well understood process. We typically start with some existing data and pass it through an algorithm. The algorithm ‘learns’ from that specific data and produces a ‘data model’. This model has learnt from the data and now encapsulates information derived from the raw data. We then have to test the model...
Data Science and Machine Learning with Python
In this course, modern data science and machine learning concepts and models are provided along with the fundamentals of programming and statistics. The aim of the course is to allow the students to gain practicality with practices and examples. There is no prerequisite for the course. Delegates will learn: Python ve Veri Bilimi Kütüphaneleri...
Deep Learning with Python, TensorFlow, and Keras
This course provides fundamentals of deep learning concepts and models are provided by means of the Keras and TensorFlow and it details how deep learning models work and which tools can be used for deep learning development. Throughout the course, students will learn the applications of deep learning models in the areas of supervised learning,...
Deep Learning Fundamentals
Deep learning is a sub-branch of artificial intelligence known for its ability to learn from large data sets, which creates complex data representations using a type of algorithm called artificial neural networks. Deep learning algorithms can automatically learn patterns within the data and make predictions using these features. Deep learning has a wide range of applications...