Artificial Intelligence in Practise is a result of 1000+ hours of thorough research and hard work. It is appropriate for each and everyone who wants to start a career in Data Science and Artificial Intelligence and upgrade their skills to these most essential skills of this era. ThinkQuotient offers Best AI ML Python Courses in Pune.
The course includes • Introduction to Python Programming • Mastering Data Science with Python • More than 20+ different state of the art algorithms in Machine Learning and Deep Learning Natural Language Processing and Artificial Intelligence • Computer Vision • Soft skills • Interview preparation
You will be provided with 200+ hours of coding and practical assignments and additional learning resources on the subjects mentioned above. With each competing modules, your creativity will find potential areas where it can be deployed in real life. So overall, in this course, you will learn how to create and implement algorithms and models in Python Programming language and you will also learn the theory behind all of these algorithms which would truly boost your artificial intelligence and Machine Learning skills.
Artificial Intelligence is a technology through which machines can learn from experiences and make decisions like humans. Other type artificial intelligence include Machine Learning where machines observe, learn and analyze from data mistakes just like a human brain instead of being programmed. Artificial Intelligence has led to significant breakthrough in industries such as healthcare, physics, retail, manufacturing, and finance to name a few. Artificial intelligence has exploded in recent years due to computing power available that generates tremendous amount of data. This data us fed to the machines which then learn from experiences and make decisions similar to humans without depending upon any computerized instruction sets. Artificial Intelligence course in Pune with ThinkQuotient wil help you to learn the practical implementation of AI and to get Jobs in AI in India.
Python is a high level, object oriented and interpreted programming language with dynamic semantics. This language is very attractive for rapid application development, scripting or glue language to connect existing components together due to its high level built- in structure combined with dynamic typing and binding. It supports modules and packages that facilitate program modularity and code reuse.
Machine learning is a subset of artificial intelligence. It is a scientific study of statistical models and algorithms that are used by computer systems to perform a specific task without the need of explicit instructions, or relying on patterns. Machine learning algorithms build a mathematical model based on training data to make decisions without any computerized instructions. It is closely related to computational statistics which focuses on making predictions using computers.
Data Science helps to derive meaningful information based on large amount of complex data. It is a combination of different fields or work in computation and statistics to interpret data for effective decision making purposes. Data Science makes use of tools to gather data set, process, and interpret to make decisions.
NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
In computer programming, pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.
Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK+. There is also a procedural "pylab" interface based on a state machine (like OpenGL), designed to closely resemble that of MATLAB, though its use is discouraged. SciPy makes use of Matplotlib
Scikit-learn is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
OpenCV (Open source computer vision) is a library of programming functions mainly aimed at real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel). OpenCV supports the deep learning frameworks TensorFlow, Torch/PyTorch and Caffe.
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications
The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. NLTK includes graphical demonstrations and sample data. It is accompanied by a book that explains the underlying concepts behind the language processing tasks supported by the toolkit, plus a cookbook.