Search result for Google-machine-learning-course Online Courses & Certifications
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The Machine Learning Course 2020
by MdJahidul Said- 2.7
35 mins on-demand video
Learn and understand Machine Learning from scratch. The easiest way to learn and do various machine learning in the world. Lectures that make you become familiar with the machine through machine learning. You will learn how to conduct, compare, validate and present a variety of machine learning and their result....
$12.99
The Machine Learning Certification Course
by Marufa Yasmin- 3.1
38 mins on-demand video
Learn and understand Machine Learning using this course. Introductory Machine Learning course covering theory & algorithms. This is an introductory course in machine learning (ML) that covers the basic theory and algorithms . This course balances theory and practice, and covers the mathematical as well as the heuristic aspects....
$12.99
Machine Learning and Deep Learning using Tensor Flow & Keras
by Indra Programmer- 2
11 hours on-demand video
This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning and also the basics of Machine learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand and its application ....
$12.99
Practical Machine Learning
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.5
Approx. 9 hours to complete
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. Welcome to Practical Machine Learning Describe machine learning methods such as regression or classification trees...
The #1 Python Data Scientist: Sentiment Analysis & More
by Mammoth Interactive- 4.7
16.5 hours on-demand video
Build Projects with Machine Learning, Text Classification, TensorFlowNumPy, PyPlot, Pandas, and More in Google Colab. Machine learning is quickly becoming a required skill for every software developer. Machine Learning Theory Machine learning is in high demand and is quickly becoming a requirement on every software engineer's resume. Learn how to solve problems with machine learning before diving into practical examples....
$9.99
Start & Grow Your Career in Machine Learning/Data Science
by Class Creatives- 4.9
1.5 hours on-demand video
With companies in almost every industry finding ways to adopt machine learning, the demand for machine learning engineers and developers is higher than ever. Now is the best time to start considering a career in machine learning, and this course is here to guide you. Examples of Machine Learning positions Who This Course is For:...
$9.99
Data Science, Analytics & AI for Business & the Real World™
by Rajeev D. Ratan- 4.5
30 hours on-demand video
This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of Data Science and Deep Learning to real-world business problems. Machine Learning Theory - Linear Regressions, Logistic Regressions, Decision Trees, Random Forests, KNN, SVMs, Model Assessment, Outlier Detection, ROC & AUC and Regularization Deployment to the Cloud using Heroku to build a Machine Learning API...
$9.99
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. Machine learning in particle identification Search for Dark Matter Hints with Machine Learning at new CERN experiment...
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
Approx. 7 hours to complete
This is a focused course designed to rapidly get you up to speed on doing data science in real life. After completing this course you will know how to: The course will be taught at a conceptual level for active managers of data scientists and statisticians. Contrasting machine learning versus classical statistical inference Machine Learning vs. Machine Learning vs....
Data for Machine Learning
by Anna Koop- 4.4
Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. Machine Learning Process Lifecycle Review Preparing your Data for Machine Learning Success...