Search result for Python data structures and algorithms Online Courses & Certifications
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Deep Learning: GANs and Variational Autoencoders
by Lazy Programmer Team- 4.4
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7.5 hours on-demand video
Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow Variational autoencoders and GANs have been 2 of the most interesting developments in deep learning and machine learning recently. But what if we go back to poetry and take away the words? Thanks for reading and I’ll see you in class....
$29.99
Advanced Deep Learning with Keras
by Packt Publishing- 3.4
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5 hours on-demand video
This comprises transfer learning, data augmentation, and hyperparameter search, to avoid overfitting and to preserve the generalization property of the network. As a research engineer, Philippe reads scientific papers and implements artificial intelligence algorithms related to handwriting character recognition, time series analysis, and natural language processing. Philippe contributes to different open source projects related to deep learning and fintech....
$9.99
Intro to TensorFlow - For iOS & Android
by Mammoth Interactive- 4.2
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14.5 hours on-demand video
3 and the amazing Python 3. Discover applications of machine learning and where we use artificial intelligence and algorithms daily 1 is and how it makes machine learning development easier Build a linear regression model to fit a line through data We will teach you all you need to know about the languages, software and technologies we use....
$9.99
Build your own Proof Of Stake Blockchain
by Lukas Hubl- 4.2
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9 hours on-demand video
From Transactions to Proof of Stake Consensus in your own P2P Network of Nodes in Python After several years in the sector of machine learning, data science and self driving vehicles, I decided to dive deeper in the topic of Blockchains. What you will learn and implement P2P Network - How to find and communicate with other Nodes....
$12.99
Machine Learning for All
by Dr Marco Gillies- 4.7
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Approx. 22 hours to complete
You really need to understand this technology, and this course is a great place to get that understanding. That means that we don't cover the programming based machine learning tools like python and TensorFlow. Machine learning algorithms You will be able to explain and predict how data affects the results of machine learning...
Teaching Impacts of Technology: Fundamentals
by Beth Simon- 4.9
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Approx. 11 hours to complete
Technologies and Computing Concepts: Geolocation, Push Notifications, Near Field Communications, HMTL5, GPS, Graph representations, Minimal Spanning Trees, Shortest Path Algorithms Technologies and Computing Concepts: Data Centers, Downloading vs Streaming, Digital vs. Practices we cover include “fostering and inclusive computing culture”, “recognizing and defining computational problems”, and “communicating about computing”. Internet and Data Center Basics...
Clean Code
by Academind by Maximilian Schwarzmüller- 4.7
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6.5 hours on-demand video
Learn how to write readable, understandable and therefore maintainable code - step by step, in an example-driven way ) properly and in a clean way Common pitfalls and mistakes you should avoid when naming things Avoiding deeply nested control structures with guards and by extracting functionality into functions Objects & data containers/ data structures and why that differentiation could matter...
$19.99
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Unsupervised Deep Learning in Python
by Lazy Programmer Team- 4.5
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8.5 hours on-demand video
Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA This course is the next logical step in my deep learning, data science, and machine learning series. As in physical systems, we define a concept called free energy and attempt to minimize this quantity. You'll want to install Numpy, Theano, and Tensorflow for this course....
$34.99
Mathematics for Machine Learning: Linear Algebra
by David Dye , Samuel J. Cooper , A. Freddie Page- 4.7
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Approx. 19 hours to complete
In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Eigenvalues and Eigenvectors: Application to Data Problems...
Learning Path: R: Real-World Data Science Solutions with R
by Packt Publishing- 3.8
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9.5 hours on-demand video
Delve into the most popular R packages and techniques to solve real-world data problems Produce high-quality statistical graphics and increase your efficiency in data analysis code You will learn how to load data into R for analysis, and get a good understanding of how to write R scripts. His research interests revolve around machine learning, data retrieval, and complex systems....
$9.99
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