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Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 14 hours to complete
After this course, if you have followed the courses of the IBM Specialization in order, you will have considerable practice and a solid understanding in the main types of Machine Learning which are: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning....
Data Science: R Basics
by Rafael Irizarry- 0.0
8 Weeks
Rather than covering every R skill you might need, you'll build a strong foundation to prepare you for the more in-depth courses later in the series, where we cover concepts like probability, inference, regression, and machine learning. Foundational R programming concepts such as data types, vectors arithmetic, and indexing...
$149
Mathematics for Machine Learning: PCA
by Marc Peter Deisenroth- 4
Approx. 18 hours to complete
Basic knowledge in python programming and numpy Disclaimer: This course is substantially more abstract and requires more programming than the other two courses of the specialization. However, this type of abstract thinking, algebraic manipulation and programming is necessary if you want to understand and develop machine learning algorithms....
Blockchain Basics
by Bina Ramamurthy- 4.6
Approx. 16 hours to complete
You will work on a virtual machine image, specifically created for this course, to build an Ethereum test chain and operate on the chain....
Predictive Modeling and Machine Learning with MATLAB
by Heather Gorr , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Adam Filion , Erin Byrne , Sam Jones- 4.7
Approx. 22 hours to complete
These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed courses 1 through 2 of this specialization. Supervised Machine Learning Reference...
Advanced AI: Deep Reinforcement Learning in Python
by Lazy Programmer Team- 4.6
10.5 hours on-demand video
My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code? Object-oriented programming...
$29.99
Machine Learning with Complete Python(A-Z) with project
by Aakash singh- 4.9
5 hours on-demand video
Machine Learning Algorithms with Complete Python for beginner to Advance level with examples, quizes & test-series NO PRIOR PYTHON OR STATISTICS OR MACHINE LEARNING KNOWLEDGE IS REQUIRED: we will go through lots of real life example for increasing practical side knowledge of the programming and we should not neglecting theory section also, which is essential for this course....
$11.99
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Logistic Regression in Python
by Start-Tech Academy- 4.1
7.5 hours on-demand video
Programming Experience - A significant part of machine learning is programming. Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well....
$12.99
Deep Learning: GANs and Variational Autoencoders
by Lazy Programmer Team- 4.4
7.5 hours on-demand video
Variational autoencoders and GANs have been 2 of the most interesting developments in deep learning and machine learning recently. This by itself is really cool, but we'll also be incorporating ideas from Bayesian Machine Learning, Reinforcement Learning, and Game Theory. My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch...
$29.99
Getting Started with SAS Programming
by Stacey Syphus- 4.8
Approx. 22 hours to complete
It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. Demo: Programming in SAS SAS Programming Interfaces Demo: Programming with SAS Studio...