Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom Training
- Introduction to TensorFlow
- Computational Graph
- Stochastic Gradient Descent
- Visual TensorBoard
- Keras with TensorFlow
- Role of Activation functions in ANN network
- Activation Functions:
- Sigmoid (Binary)
- Softmax (Multiclass)
- ReLU (Linear)
- Introduction to ANN
- Concept of Perceptron
- Perceptron Training Rule
- Gradient Descent Rule
- Gradient Descent
- Stochastic Gradient Descent
- Backpropagation
- Some problems in ANN
- Overfitting and Capacity
- Cross Validation
- Feature Selection
- Regularization
- Hyperparameters
- Introduction to CNNs
- Principles behind CNNs
- Kernel and Multiple Filters
- CNN Image Classification demo
- Introduction to RNNs
- Unfolded RNNs
- Seq2Seq RNNs
- LSTM
- RNN applications
- Image Processing
- Natural Language Processing
- Speech Recognition
- Video Analytics
- Image Classification with CNN - Keras
- Natural Language Processing with NKTL live project
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.