Search result for Machine learning models Online Courses & Certifications
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Machine Learning with Python: from Linear Models to Deep Learning
by Regina Barzilay , Tommi Jaakkola , Karene Chu- 0.0
15 Weeks
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Understand principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning Choose suitable models for different applications Implement and organize machine learning projects, from training, validation, parameter tuning, to feature engineering....
$300
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
Approx. 66 hours to complete
These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are also a foundational tool in formulating many machine learning problems. Review of Machine Learning Concepts from Prof. Andrew Ng's Machine Learning Class (Optional) Learning in Parametric Models Learning Undirected Models...
Learn Advanced Python Programming in 2020
by Coding School- 3.9
9.5 hours on-demand video
Make Real World Applications and Machine Learning Models in Python Also Machine Learning is the future of the world and every application is getting upgraded to have some machine learning used in it and that is the reason we will also build Machine Learning models which gonna help us in making future decisions....
$13.99
Machine Learning and Data Mining with Weka - For Beginners
by Shadi Oweda- 4.2
2 hours on-demand video
Learn how to start your Machine Learning journey with Weka to Build your next Predicative Machine Learning Models. This introductory course will help make your machine learning journey easy and pleasant , you will be learning by using the powerful Weka open source machine learning software, developed in New Zealand by the University of Waikato....
$11.99
Machine Learning with Python
by SAEED AGHABOZORGI , Joseph Santarcangelo- 4.7
Approx. 21 hours to complete
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Introduction to Machine Learning Introduction to Machine Learning Python for Machine Learning Intro to Machine Learning...
[2020] Machine Learning and Deep Learning Bootcamp in Python
by Holczer Balazs- 4.5
18.5 hours on-demand video
Machine Learning models, Neural Networks, Deep Learning and Reinforcement Learning Approaches in Keras and TensorFlow Machine Learning Algorithms: machine learning approaches are becoming more and more important even in 2020. Machine Learning approaches in finance: how to use learning algorithms to predict stock prices Tic Tac Toe game with Q learning approach and the deep Q learning approach...
$17.99
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
by Eric Siegel- 4.8
Approx. 14 hours to complete
In order to serve both types, this course goes further than typical machine learning courses, which cover only the technical foundations and core quantitative techniques. – How launching machine learning – aka predictive analytics – improves marketing, financial services, fraud detection, and many other business operations Why machine learning isn't becoming superintelligent...
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Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
Approx. 34 hours to complete
The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. Key Concepts in Machine Learning Python Tools for Machine Learning An Example Machine Learning Problem Module 2: Supervised Machine Learning - Part 1 Introduction to Supervised Machine Learning...
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. These practice exercises will teach you how to implement machine learning algorithms with PyTorch, open source libraries used by leading tech companies in the machine learning field (e....
Introduction to TensorFlow
by Google Cloud Training- 4.4
Approx. 19 hours to complete
x and Keras to build, train, and deploy machine learning models. Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models. You will learn how to train, deploy, and productionalize machine learning models at scale with Cloud AI Platform....