Hi, I am C.K. Darko Привет, меня зовут К.К. Дарко
An Explorer..........
An Explorer..........
After being introduced to the python programming language, I explored several fields in which it can be applied: Web Development, Ethical Hacking, Data Analysis, Data Science, Machine Learning, Deep Learning, and AI. Decided to focus more on these fields due their tremendous research applications:
Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks. A subset of machine learning is closely related to computational statistics, which focuses on making predictions using computers; but not all machine learning is statistical learning.
Machine Learning WikipediaDeep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance
Deep Learning WikipediaData science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data. Data science is a "concept to unify statistics, data analysis, informatics, and their related methods" in order to "understand and analyze actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. However, data science is different from computer science and information science.
Data Science Wikipedia.......... on a Journey
Live to study don't study to live.
Only those who dare to fail greatly can ever achieve greatly. Success lies in everyone.
Wisdom is neither inheritance nor legacy. Honesty is the first chapter of the book of wisdom.
Genius is not the same thing as Wisdom, Genius is a gift, Wisdom is a craft.
Mistakes are the portals of discovery. Nothing great has ever been achieved without enthusiasm.
There is nothing nobler than humanity.
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