Data

Cut through the noise and get real results with a step-by-step approach to learning SQL

Cut through the noise and get real results with a step-by-step approach to data science

Learn through hands-on exercises covering a variety of topics including data connections, analytics, and dashboards to effectively prepare for the Tableau Desktop Certified Associate exam

Unleash the power of Python libraries like Gensim, NLTK, SpaCy, and Keras to solve common and not-so-common challenges faced in the NLP domain.

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.

Master PostgreSQL 12 features such as advanced indexing, high availability, monitoring, and much more to efficiently manage and maintain your database

Get to grips with the basics of JupyterLab and its web interface with the help of this quick start guide

Implement key reinforcement learning algorithms and techniques using different R packages such as the Markov chain, MDP toolbox, contextual, and OpenAI Gym

Enhance your enterprise application development skills by mastering parallel programming techniques in .NET and C#

Build powerful deep learning models using fewer learning samples with the power of scikit-learn and Keras

Increase the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and deep neuroevolution

Learn the essential background and model functioning of various neural network architectures such as CNN. RNN. LSTM, GANs, Autoencoders and more using best practices from an industry expert

Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models

Build powerful artificial intelligent applications using Hyperledger, Ethereum, Corda, Chain Core, Quorum, IOTA and more

Make your foray into the world of real-world financial applications using artificial intelligence (AI) and production-grade data feeds and technology