AI-ML
AI is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
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INDUSTRY EXPERT
We have industry expert for your guidance
PRACTICAL ORIENTED
Practical knowledge is very important to understand how things actually work.
INSPIRING CLASSES
May you find great value in these inspirational Class
Featured Classes
INDUSTRY EXPERT
We have industry expert for your guidance
PRACTICAL ORIENTED
Practical knowledge is very important to understand how things actually work.
INSPIRING CLASSES
May you find great value in these inspirational Class
Featured Classes
In last 5 to 10 years use of internet has been increased massively. Internet is being used for commercial as well as non-commercial purpose also professional as well as non-professional purpose. Hence the amount of information that is being poured on internet is very large. Every piece of data may it be your personal data, professional data, finance data is easily available on internet. The rise of social media has also added to it. This has led to increase in Cyber attacks.
Cyber attacks has increased drastically in last decade. It is causing the largest damage to companies and as well as the individuals on personal level. Cyber attacks is one of the largest reasons of financial losses to companies hence in order to avoid that the companies now have more aware and became more responsible when it comes securing their assets over the internet. This has led to rise Cyber Security industry.
Cyber Security market is fastest growing market in the world at current stage. Hence there is large vacancy of skilled professionals in Cyber security and there this course comes in picture.
This course covers all areas that you should have knowledge if you want to enter in Cyber Security field. It will create a solid base for the Cyber security on the basis of which an individual can built his career and can have advanced learning
and training. This course is capable of providing the individual an entry level job in Cyber security industry conditionally the individual should perform well throughout
As a student we always look to learn things that can help us to a get job and it should last in future. If you talk about Cyber security is one of the largest growing industry in world. Don’t trust me go to Google and search you will find the answer. You search anything fastest growing industry , fastest growing technology, fastest growing career option in each list you will find Cyber security so the early you start your journey the more it will be fruitful to student. error, est. Ea, consequatur.
AI Course
Artificial Intelligence
- An Introduction to Artificial Intelligence
- History of Artificial Intelligence
- Future and Market Trends in Artificial Intelligence
- Intelligent Agents – Perceive-Reason-Act Loop
- Search and Symbolic Search
- Constraint-based Reasoning
- Simple Adversarial Search (Game-Playing)
- Neural Networks and Perceptrons
- Understanding Feedforward Networks
- Boltzmann Machines and Autoencoders
- Exploring Backpropagation
- Deep Networks/Deep Learning
- Knowledge-based Reasoning
- First-order Logic and Theorem
- Rules and Rule-based Reasoning
- Studying Blackboard Systems
- Structured Knowledge: Frames, Cyc, Conceptual Dependency
- Description Logic
- Reasoning with Uncertainty
- Probability & Certainty-Factors
- What are Bayesian Networks?
- Understanding Sensor Processing
- Natural Language Processing
- Studying Neural Elements
- Convolutional Networks
- Recurrent Networks
- Long Short-Term Memory (LSTM) Networks
- Machine learning
- Reprise: Deep Learning
- Symbolic Approaches and Multiagent Systems
- Societal/Ethical Concerns
- Hacking and Ethical Concerns
- Behaviour and Hacking
- Job Displacement & Societal Disruption
- Ethics of Deadly AIs
- Danger of Displacement of Humanity
- The future of Artificial Intelligence
- Natural Language Processing
- Natural Language Processing in Python
- Natural Language Processing in R
- Studying Deep Learning
- Artificial Neural Networks
- ANN Intuition
- Plan of Attack
- Studying the Neuron
- The Activation Function
- Working of Neural Networks
- Exploring Gradient Descent
- Stochastic Gradient Descent
- Exploring Backpropagation
- Understanding Artificial Neural Network
- Building an ANN
- Building Problem Description
- Evaluation the ANN
- Improving the ANN
- Tuning the ANN
- Conventional Neural Networks
- CNN Intuition
- Convolution Operation
- ReLU Layer
- Pooling and Flattening
- Full Connection
- Softmax and Cross-Entropy
- Building a CNN
- Evaluating the CNN
- Improving the CNN
- Tuning the CNN
- Recurrent Neural Network
- RNN Intuition
- The Vanishing Gradient Problem
- LSTMs and LSTM Variations
- Practical Intuition
- Building an RNN
- Evaluating the RNN
- Improving the RNN
- Tuning the RNN
- Self-Organizing Maps
- SOMs Intuition
- Plan of Attack
- Working of Self-Organizing Maps
- Revisiting K-Means
- K-Means Clustering
- Reading an Advanced SOM
- Building an SOM
- Energy-Based Models (EBM)
- Restricted Boltzmann Machine
- Exploring Contrastive Divergence
- Deep Belief Networks
- Deep Boltzmann Machines
- Building a Boltzmann Machine
- Installing Ubuntu on Windows
- Installing PyTorch
- AutoEncoders: An Overview
- AutoEncoders Intuition
- Plan of Attack
- Training an AutoEncoder
- Overcomplete hidden layers
- Sparse Autoencoders
- Denoising Autoencoders
- Contractive Autoencoders
- Stacked Autoencoders
- Deep Autoencoders
- Dimensionality Reduction
- Principal Component Analysis (PCA)
- PCA in Python
- PCA in R
- Linear Discriminant Analysis (LDA)
- LDA in Python
- LDA in R
- Kernel PCA
- Kernel PCA in Python
- Kernel PCA in R
- K-Fold Cross Validation in Python
- Grid Search in Python
- K-Fold Cross Validation in R
- Grid Search in R
- XGBoost
- XGBoost in Python
- XGBoost in R
What our Students say
FAQ'S
Among the various programming languages available in the market, Python has made its way to become one of the fastest-growing languages.
1. What is Python? What are the benefits of using Python
Python is a high-level, interpreted, general-purpose programming language. Being a general-purpose language, it can be used to build almost any type of application with the right tools/libraries. Additionally, python supports objects, modules, threads, exception-handling, and automatic memory management which help in modelling real-world problems and building applications to solve these problems.
Benefits of using Python:
- Python is a general-purpose programming language that has a simple, easy-to-learn syntax that emphasizes readability and therefore reduces the cost of program maintenance. Moreover, the language is capable of scripting, is completely open-source, and supports third-party packages encouraging modularity and code reuse.
- Its high-level data structures, combined with dynamic typing and dynamic binding, attract a huge community of developers for Rapid Application Development and deployment.
2. AI vs ML vs DL
