03Jul 2023 by Ugochukwu Onwuka No Comments

Data Cleaning Cycle

DATA CLEANING Data Science is an emerging and interdisciplinary field that has gained significant traction due to the exponential growth of data across various sectors. It encompasses the extraction of valuable insights from vast volumes of data using diverse scientific techniques, such as algorithms and processes. However, the raw data, often referred to as primary or source data, frequently contains inconsistent and inaccurate values, leading to erroneous outcomes and biased analyses. In data science, the quality of insights and analyses derived from data is only as reliable as the data itself. Definition of Data Cleaning Data cleaning (data scrubbing) refers to the process of modifying or eliminating useless, inaccurate, duplicate, corrupted, or incomplete data from a dataset. When working with multiple data sources, there are numerous opportunities for data to…

20Jun 2023 by Ugochukwu Onwuka 1 Comment

Quantum Machine Learning: The Next Frontier in Artificial Intelligence

AI, Machine learning, Quantum Computer

Quantum machine learning is an emerging field that combines the principles of quantum mechanics and machine learning. It is a new approach to solving complex problems that are beyond the capabilities of classical computers. In this blog post, we will explore the basics of quantum machine learning and its potential applications. What is Quantum Machine Learning? Quantum machine learning is based on the principles of quantum mechanics, which allows for the creation of quantum algorithms that can perform calculations in parallel. This means that quantum computers can solve problems that are impossible for classical computers to solve. The combination of quantum mechanics and machine learning allows for the development of more powerful and efficient algorithms that can process and analyze large amounts of data. [siteorigin_widget class="SiteOrigin_Widget_Image_Widget"][/siteorigin_widget] Quantum Computing vs. Classical…

18Jun 2023 by Ugochukwu Onwuka No Comments

Introduction to Quantum Computing

AI, Quantum Computer

Quantum computing is a new paradigm in computing that is based on the principles of quantum mechanics, which is a branch of physics that describes the behavior of matter and energy at the atomic and subatomic level. Unlike classical computing, which is based on bits (0 and 1), quantum computing is based on quantum bits or qubits. Qubits can be in multiple states at the same time, which allows quantum computers to perform multiple calculations simultaneously. Quantum computing is a revolutionary technology that has the potential to solve some of the most complex problems in the world, such as drug discovery, climate change, and cryptography. [siteorigin_widget class="WP_Widget_Media_Image"][/siteorigin_widget] Advantages of Quantum Computing Quantum computing has several advantages over classical computing. One of the biggest advantages is its ability to perform multiple…

24Jan 2021 by Ugochukwu Onwuka No Comments

Pattern Recognition and Problem Decomposition in Artificial Intelligence

AI

Introduction Artificial Intelligence (A.I) is a word created in 1955 by J. McCarthy, M. L., N, and C.E. Shannon after a proposed "Dartmouth summer research project on artificial intelligence", remembered now as the Dartmouth Conference. This Conference held in the summer of 1956, discussed various aspects of learning and intelligence that could be simulated on machines. Artificial intelligence is based around the idea that human intelligence can be defined in such exact terms that a machine can mimic it. The goals of artificial intelligence include learning, reasoning and perception, and machines are wired using a cross-disciplinary approach based in mathematics, computer science, linguistics, psychology and more (Investopedia, 2018) Since then Pattern Recognition has remained one of the principal fields in Artificial Intelligence till the beginning of 70's when the first IJCPR…

25Mar 2019 by Ugochukwu Onwuka No Comments

Internet Design

Internet, Networking, Telecoms

INTRODUCTION The concept of the internet started over 50 years ago when computers filled the entire room, today it is an ubiquitous information infrastructure, the initial prototype of what J. C. R. Licklider called the inter-galactic computer network (Wikipedia, 2018) has indeed becoming an inter-galactic network. Its history is complex and involves many aspects – technological, organizational, and community; its influence reaches not only to the technical field of computer communications but throughout society. The initial design of the internet was conceived by ARPA, was network that would be able to withstand a nuclear strike in event of nuclear strike. ARPANET development began with two network nodes which were interconnected between the Network Measurement Center at the University of California, Los Angeles (UCLA) Henry Samueli School of Engineering and Applied…

25Mar 2019 by Ugochukwu Onwuka No Comments

Network Congestion Control Mechanisms (Leaky Bucket VS Token Bucket Algorithm)

Internet, Networking, Telecoms

Network congestion is a challenging misnomer in today’s networking world as the number of connected devices continues to increase; this article enumerates different congestion control mechanisms and compares the leaky bucket and token bucket algorithm. INTRODUCTION Network congestion in data networking and queueing theory is the reduced quality of service that occurs when a network node or link is carrying more data than it can handle. Typical effects include queueing delay, packet loss or the blocking of new connections. A consequence of congestion is that an incremental increase in offered load leads either only to a small increase or even a decrease in network throughput. (Al-Bahaddili, 2012) Network resources are limited, including router processing time and link throughput. Resource contention may occur on networks in a number of common circumstances.…

23Mar 2019 by Ugochukwu Onwuka No Comments

Ensemble Learning

AI

Ensemble Learning Ensemble learning is a machine learning archetype or theory where multiple learners are trained or applied to datasets to solve the same problem by extracting multiple predictions then combined into one composite prediction. It is a process that uses a set of models, each of them obtained by applying a learning process to a given problem. This set of models (ensemble) is integrated in some way to obtain the final prediction.” (Moreira, et al. 2012, 3) This in contrast to ordinary machine learning approaches which try to learn one hypothesis from training data, ensemble methods try to construct a set of hypotheses and combine them to use. It is a powerful way to improve the performance of your model. It usually pays off to apply ensemble learning over…

31Aug 2017 by Ugochukwu Onwuka No Comments

Test your telecommunication knowledge

Networking, Telecoms

The set of Telecommunication questions may form part of your interview questions; here gives you a peak in what type of questions you may expect. Don't forget to drop your comment (more…)

24Jul 2017 by Ugochukwu Onwuka 1 Comment

Telecoms network switch subsystem (NSS) key performance indicators (KPI)

Telecoms

Telecoms KPI, Contributors to Poor KPI and Improvement plans What is NSS Network switching subsystem (NSS) (or GSM core network) is the component of a GSM system that carries out call switching and mobility management functions for mobile phones roaming on the network of base stations. It is owned and deployed by mobile phone operators and allows mobile devices to communicate with each other and telephones in the wider public switched telephone network (PSTN). The architecture contains specific features and functions which are needed because the phones are not fixed in one location. WHAT IS KPI A Key Performance Indicator is a measurable value that demonstrates how effectively a company is achieving key business objectives. Organizations use KPIs at multiple levels to evaluate their success at reaching targets. Telecommunication KPI…