Search result for Numpy tutorial and practice Online Courses & Certifications
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Getting started with TensorFlow 2
by Dr Kevin Webster- 4.9
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Approx. 26 hours to complete
In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models. Convolutional and pooling layers [Coding tutorial] Convolutional and pooling layers...
Python for Data Science, AI & Development
by Joseph Santarcangelo- 4.6
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Approx. 17 hours to complete
Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries. Expressions and Variables Practice Quiz Practice Quiz Practice Quiz List and Tuples Practice Quiz Practice Quiz Practice Quiz Conditions and Branching...
Customising your models with TensorFlow 2
by Dr Kevin Webster- 4.8
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Approx. 27 hours to complete
In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. Multiple inputs and outputs [Coding tutorial] Multiple inputs and outputs [Coding tutorial] Variables and Tensors Wrap up and introduction to the programming assignment Wrap up and introduction to the programming assignment...
Lesson | Express Yourself: Pronunciation
by Amalia B. Stephens- 4.5
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Approx. 1 hour to complete
Take this lesson to get a short tutorial on the learning objectives covered. By the end of this lesson, you will be able to produce proper word stress and intonation in your speaking. Practice Word Stress Practice Sentence Stress Practice Intonation...
Statistical Mechanics: Algorithms and Computations
by Werner Krauth- 4.8
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Approx. 16 hours to complete
Tutorial 1: Exponential convergence and the 3x3 pebble game Tutorial 2: Equiprobability, partition functions, and virial expansions for hard disks Tutorial 4: Sampling discrete and one-dimensional distributions Tutorial 5: Trotter decomposition and quantum time-evolution Tutorial 7: Permutation cycles and ideal Bosons Practice quiz 8: Spins and Ising model Tutorial 9: Simulated Annealing and the 13-sphere problem...
Lesson | Get Ready for the Interview
by Amalia B. Stephens- 4.4
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Approx. 1 hour to complete
Take this lesson to get a short tutorial on the learning objectives covered. - Practice and prepare yourself for an interview Practice Body Language...
Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
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Approx. 53 hours to complete
This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This course follows on from the previous two courses in the specialisation, Getting Started with TensorFlow 2 and Customising Your Models with TensorFlow 2....
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NumPy Library
by Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!- 4.9
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3.5 hours on-demand video
The Ultimate NumPy Tutorial for Data Science Beginners The Ultimate NumPy Tutorial for Data Science Beginners: In short – NumPy is one of the most fundamental libraries in Python and perhaps the most useful of them all. NumPy handles large datasets effectively and efficiently. You will understand that NumPy - Numerical Python is used for scientific computing and data analysis...
$12.99
Basic Data Processing and Visualization
by Julian McAuley , Ilkay Altintas- 4.3
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Approx. 11 hours to complete
This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. (Optional) Python: Additional Resources and Recommended Readings Matrix Processing and Numpy Basic experience with data processing libraries such as numpy and data ingestion with urllib, requests...
English and Academic Preparation - Pre-Collegiate
by Alice Llanos , Rachel Kraut, Ph.D.- 4.4
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Approx. 23 hours to complete
The English and Academic Preparation - Pre-Collegiate course is for students with a (minimum) high-intermediate level of English. Each module consists of video lessons, opportunities for practicing English and academic skills, interactive discussion boards with classmates, and graded activities. Listening Practice #1: Listen and Take Notes Practice with Past, Past Perfect and Present Perfect Verb Tenses...
