Learn how to boost deep learning algorithms on various processor platforms and custom accelerators; and how to make them more secure and reliable.
Learn Python, NumPy, Pandas, scikit-learn, Regression, Clustering, Classification, SVM, Random Forests, Decision Trees, Dimensionality Reduction, TensorFlow 2, Keras, Convolutional & Recurrent Neural Networks, Autoencoders, and Reinforcement Learning
Learn Python, NumPy, Scipy, Pandas, Jupyter, Scikit-learn, Regression, Clustering, Classification, Support Vector Machines, Random Forests, Decision Trees and Dimensionality Reduction
Learn Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Reinforcement Learning
Deep Learning. Understanding TensorFlow, Introduction to Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Training Neural Networks, TensorFlow Across Devices, Autoencoders, Reinforcement Learning. Enroll now!
Learn Python, Jupyter, Linux, NumPy, SciPy, Scikit-learn, Pandas, Linear algebra, From Industry Experts. A foundation course for Machine Learning & Data Science
2 years degree program approved by UGC. Program managed by REVA Academy for Corporate Excellence in collaboration with CloudxLab
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Certificate Course on Developing Deep Learning Applications Offered By Intel Corporation
This chapter covers different NumPy constructs and functions along with Overview of Pandas, Matplotlib and Linear Algebra which is normally used in Machine Learning projects