Data Science

Showing 1429–1470 of 1535 results

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Implement solutions from scratch, covering real-world case studies to illustrate the power of neural network models.

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Gain an in-depth understanding of data analysis with various Python packages

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Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications

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Gain expertise in troubleshooting most common issues to implement machine learning tasks with ease

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Begin your journey to build next-generation AI models from scratch with TensorFlow and create your own machine learning

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Build powerful Machine Learning models using Python with hands-on practical examples in just a week.

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Practical and unique solutions to common Machine Learning problems that you face!

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Implement and evaluate machine learning solutions with scikit-learn

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Gain valuable insights from your data by streamlining unstructured data pipelines with Big Data and NLP in Python

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Enhance applications with the power of Machine Learning to build high performing day-to-day apps with Neural Networks.

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Build computer vision OpenCV 3 applications with Python

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Apply Machine Learning techniques to solve real-world problems with Python, scikit-learn and TensorFlow

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Build solutions to get up and speed with new trends in NLP. Three complete courses in one comprehensive training program

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Create deep learning models for your mobile applications by leveraging the potential of AI with TensorFlow.

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Get high-quality information from your text using Machine Learning with Tensorflow, NLTK, Scikit-Learn, and Python

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Develop and apply Machine Learning techniques using powerful features of Python and scikit-learn

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Build useful and effective deep learning models with the PyTorch Deep Learning framework

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Hands-on projects that simplify your first steps into the world of artificial intelligence with Python

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Learn to implement and evaluate machine learning solutions with Apache Spark 2

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Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you.

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This course will give you the required knowledge and skills to build real-world machine learning projects with R.

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Blend the power of artificial intelligence with Python in your applications to get you up and running with deep neural

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Tackle common machine learning problems to enhance your applications and build deployable solutions with Googles Tensor

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Unleash the power of deep learning and NLP to build real-world applications

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Get the most out of Jupyter to perform various data science tasks

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Learn to implement and evaluate machine learning solutions with scikit-learn and TensorFlow

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Develop and apply the best machine learning practices using the powerful features of Python and scikit-learn

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Bring AI into your life with real-world projects in Python.

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A practical tour of prediction and control in Reinforcement Learning using OpenAI Gym, Python, and TensorFlow

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Two complete courses in one comprehensive training program.

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Conquer the world of machine learning algorithms with R

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Harness the statistical fundamentals and terminology for model building and validation

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Dive deep into the statistical and data mining techniques to get useful insights out of your data

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Your one stop solution to conquering the woes in Statistics, Data Mining, Data Analysis and Data Science

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Level up your machine learning skills to extract patterns and knowledge from your data with ease using MATLAB

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Learn the most effective machine learning tools and techniques with Python

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Perform efficient deep learning on images, text, and data using TensorFlow

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Learn image processing and neural networks with Tensorflow from scratch

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Discover how to build advanced OpenCV3 projects with Python

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Build deployable solutions and tackle common machine learning problems with ease using Googles TensorFlow library

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Natural Language Processing is used in many applications to provide capabilities that were previously not possible. It involves analyzing text to obtain the intent and meaning, which can then be used to support an application. Using NLP within an application requires a combination of standard Java techniques and often specialized libraries frequently based on models that have been trained. If you're interested to learn the powerful Natural Language Processing techniques with Java, then go for th

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Learn and master the NLTK library in Python to create your own NLP apps