Search result for Machine learning for beginner Online Courses & Certifications
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End-to-End Machine Learning with TensorFlow on GCP
by Google Cloud Training- 4.5
Approx. 13 hours to complete
In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform Machine Learning (ML) on Google Cloud Platform (GCP)...
Alibaba Cloud Native Solutions and Container Service
by Steve Xue- 0.0
Approx. 11 hours to complete
***FREE Certification Promotion for 2021*** Gain a thorough understanding of what set the 6th Generation ECS instance apart, and why you should be considering it for all your Cloud computing workloads. Migrate Application to Alibaba Cloud Container Service for Kubernetes Machine Learning Unlock Cloud-Native AI Skills | Develop Your Machine Learning Workflow Machine Learning Quiz...
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
Approx. 10 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. What is Machine Learning Applications of Machine Learning Components of Machine Learning...
Introduction to Machine Learning Course
by Katie Malone , Sebastian Thrun- 0.0
Timeline Approx. 10 Weeks
This class will teach you the end-to-end process of investigating data through a machine learning lens. lesson 5 Choose your own Algorithm Decide how to pick the right Machine Learning Algorithm among K-Means, Adaboost, and Decision Trees. lesson 6 Datasets and Questions Apply your Machine Learning knowledge by looking for patterns in the Enron Email Dataset....
Free
Addressing Large Hadron Collider Challenges by Machine Learning
by Andrei Ustyuzhanin , Mikhail Hushchyn- 4.5
Approx. 24 hours to complete
Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays. Search for Dark Matter Hints with Machine Learning at new CERN experiment...
Practical Predictive Analytics: Models and Methods
by Bill Howe- 4.1
Approx. 7 hours to complete
Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems. Explain and apply a set of unsupervised learning concepts and methods Shuffle Test for Significance Machine Learning Structure of a Machine Learning Problem...
Machine Learning: Beginner Reinforcement Learning in Python
by Milo Spencer-Harper- 4.6
2 hours on-demand video
This course is designed for beginners to machine learning. Using this example I will teach you Deep Q Learning - a revolutionary technique invented by Google DeepMind to teach neural networks to play chess, Go and Atari....
$11.99
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Preparing for the Google Cloud Professional Data Engineer Exam
by Google Cloud Training- 4.6
Approx. 9 hours to complete
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation. Operationalizing Machine Learning Models Machine learning Machine learning and unstructured data Operationalizing Machine Learning Models: Exam Guide Review Operationalizing Machine Learning Models...
Innovating with Data and Google Cloud
by Google Cloud Training- 4.9
Approx. 2 hours to complete
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. Module 3: Innovation with Machine Learning What is machine learning? Real-world use cases for ML 03: Innovation with Machine Learning Identify Google Cloud’s solutions for Machine Learning and AI...
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
Approx. 66 hours to complete
They are also a foundational tool in formulating many machine learning problems. The course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models. Review of Machine Learning Concepts from Prof. Andrew Ng's Machine Learning Class (Optional) Maximum Likelihood Estimation for Bayesian Networks...