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Data Science with R
A programming language, R provides objects, operators and functions that allow users to explore, model and visualize data. R is used for data analysis.
Data Science with Python
Python is a general-purpose, object-oriented programming language that's popular in data science thanks to its rich libraries offering deep learning capabilities.
Python
Python is widely used for popular application in many development environments, getting hands-on knowledge is an asset, especially if you want to make a career in Python programming. Python is a scripting language like a pearl, ruby, and so forth. Python course understands your detailed Python concepts and familiarizes you with the basics of writing and running Python scripts to more advanced features like file operations, regular expressions, working with binary data. Python course is a blend of theory and hands-on practice that will give you the opportunity to try out examples in a real-world scenario Creative Multimedia brings a Python course that will allow you to fully utilize its concepts and create code that is simple yet fully functional and robust.
SQL
Structured query language (SQL) is a programming language for storing and processing information in a relational database. A relational database stores information in tabular form, with rows and columns representing different data attributes and the various relationships between the data values. It allows end-users to communicate with databases and perform tasks like creating, updating, and deleting databases. SQL EXPLAIN is a powerful tool used in SQL databases to analyze and understand the execution plan of a query without actually executing it. When you prepend an SQL statement with the keyword EXPLAIN, the database returns a detailed description of its execution strategy instead of the actual results
Artificial Intelligence
An AI engineer is a professional responsible for designing, building, and maintaining AI systems and applications. They possess expertise in machine learning, neural networks, natural language processing, and other AI-related technologies. AI engineers collaborate with data scientists and software developers to create intelligent solutions that address complex problems in various fields such as healthcare, finance, and transportation.
Machine Learning
Staying updated with the latest trends is crucial for professionals, researchers, and businesses looking to leverage these technologies for innovation and competitive advantage. Here’s an overview of some of the most promising advancements and trends in AI and ML for 2024.
Deep Learning
Deep Learning Course is designed to provide you with a comprehensive understanding of deep learning. Throughout this course, you will delve into various deep-learning models, and learn about neural network topologies. You will gain hands-on experience with TensorFlow and its different data types, and learn how to use frameworks such as Keras for building and training models. The course covers essential deep learning concepts including convolutional and recurrent neural networks, autoencoders, and data augmentation techniques, culminating in a hands-on project to solidify your learning.
Probablity Statistics
Probability is a branch of mathematics that deals with quantifying uncertainty and analyzing the likelihood of events or outcomes occurring. It provides a framework to understand and predict uncertain phenomena, allowing us to make informed decisions and assess risks. From statistics and data science, to economics and artificial intelligence, probability is a critical component of a variety of fields. It enables us to tackle real-world problems that involve uncertainty, such as weather forecasting, financial modeling, medical diagnostics, and game theory. Probability is also fundamental to statistical analysis, which is widely used in research and decision making. Experts in probability have rigorous tools and methods at their disposal, like probability distributions, statistical inference, and stochastic processes.