We completed the Artificial Intelligence Expert Training Program, which we planned jointly with Academy Club and South Marmara Development Agency.
By our expert trainer, Bandirma Seventeen Eylul University, Canakkale Onsekiz Mart University and Balıkesir University Python Programming for Data Science Training was given.
Academy Club Deep Learning Basic Level Training
Academy Club Deep Learning Advanced Training
ACADEMY CLUB DEEP LEARNING TRAINING OBJECTIVES
BASIC LEVEL
-To learn the basics of Deep Learning,
-Gain general knowledge about Artificial Neural Networks and how they work; gain knowledge about how they are used in real life,
-Design deep learning models with Python programming language,
-Understand Pytorch Tensors and more advanced Pytorch functions,
-To learn the things to be considered in Data Science Projects,
-Baseline Model, Gradient, Sigmoid, Non-linearity, Regularization, Binary and Multi-Class Classification, Loss Function…
ADVANCED LEVEL
-PyTorch
-DL Basics and Advanced DL
-Convolutional Neural Network (CNN)
-Recommendation System with DL
Academy Club Machine Learning with Python
ACADEMY CLUB MACHINE LEARNING WITH PYTHON TRAINING OBJECTIVES
-Learn Python and Data Science Libraries,
-To be able to do Statistical and Exploratory Data Analysis,
-Regression and Classification Problems
-To understand basic Machine Learning Algorithms,
-Understanding Unsupervised Learning,
– “How to construct and quantitatively evaluate various models appropriate to a set of problems?”
-Understand the importance of data preprocessing and organization,
-Be able to benchmark the effectiveness of their models using a confident, rigorous training and testing framework,
-To be able to answer the question “How do various types of models work?”,
-Learn some modern, state-of-the-art machine learning techniques.
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South Marmara Development Agency
South Marmara Development Agency (GMKA) was established in 2009. It operates in TR22 Level-2 Region (Balıkesir and Çanakkale) according to Turkey Statistical Regional Units classification. It is a public legal entity.
GMKA’s mission is to unlock the potential of the region and to organize and support the development initiatives of stakeholders through the effective and efficient use of national and international resources by using qualified manpower for the sustainable development of the Marmara Region and increasing its competitiveness.
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Deep Learning is one of the Artificial Intelligence (AI) methods and is a technology that teaches how to process data inspired by the human brain.
Deep learning models can recognize complex patterns in images, text, audio, and other data to produce accurate predictions and forecasts.
Deep learning methods can be used to automate tasks that typically require human intelligence, such as depicting images or converting an audio file into text.
The benefits of deep learning include improving automation and analytical tasks, hidden relationships and pattern discovery.
The application of deep learning can analyze large amounts of data more deeply and uncover new insights it may not have been trained for.
To become a DL expert, it is necessary to learn the basic principles, applications and advantages of Artificial Intelligence Technology. It is also important to gain experience in deep learning projects. This will give you a better understanding of how deep learning technology works and how it is used.
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Machine Learning with Python is the development and implementation of machine learning algorithms using the Python programming language.
Python is a popular language choice for machine learning because it is easy to learn, readable and has many libraries that are essential for machine learning.
Python has also become the dominant language in machine learning and data science. Python is widely used to fit complex models to scattered datasets.
Machine learning is a scientific field of study in which various techniques are developed to try to make computers learn in a similar way to humans.
In programming terms, machine learning is just a few lines of code. With this course you will be able to understand the theory, logic, model setup and optimization. The training covers regression and classification models, including tree-based methods, clustering and sparse regression models.
In addition, modern data science and machine learning concepts and models are discussed with the basics of programming and statistics; it is aimed to gain practicality with applications and examples.
The advantages of Machine Learning with Python include increased productivity, faster development, and better results.
Machine Learning with Python can process large data sets and generate accurate predictions by recognizing complex patterns.
