Search result for Machine learning at mit Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 906 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Intro to Machine Learning with TensorFlow
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster , Juan Delgado , Michael Virgo- 0.0
-
![]()
![]()
![]()
![]()
![]()
3 months
Machine learning is changing countless industries, from health care to finance to market predictions. Currently, the demand for machine learning engineers far exceeds the supply. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
Intro to Machine Learning with PyTorch
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
-
![]()
![]()
![]()
![]()
![]()
3 months
Machine learning is changing countless industries, from health care to finance to market predictions. Currently, the demand for machine learning engineers far exceeds the supply. Learn foundational machine learning algorithms, starting with data cleaning and supervised models. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
Spark
by David Drummond , Judit Lantos- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 10 hours
Master how to work with big data and build machine learning models at scale using Spark!...
Free
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
At the end of this course, you will master the various machine learning techniques in investment management. Machine Learning for Investment Decisions: A Brief Guided Tour Machine learning techniques for robust estimation of factor models Machine learning techniques for efficient portfolio diversification Machine learning techniques for regime analysis Several Machine Learning Methods...
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 10 hours to complete
In the second course of the Practical Data Science Specialization, you will learn to automate a natural language processing task by building an end-to-end machine learning pipeline using Hugging Face’s highly-optimized implementation of the state-of-the-art BERT algorithm with Amazon SageMaker Pipelines. Week 2: Train, Debug, and Profile a Machine Learning Model...
Fundamentals of Machine Learning in Finance
by Igor Halperin- 3.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
A learner with some or no previous knowledge of Machine Learning (ML) will get to know main algorithms of Supervised and Unsupervised Learning, and Reinforcement Learning, and will be able to use ML open source Python packages to design, test, and implement ML algorithms in Finance. Introduction to Fundamentals of Machine Learning in Finance...
Intro to Self-Driving Cars
by Sebastian Thrun , Andy Brown , Cezanne Camacho , Andrew Paster , Anthony Navarro , Elecia White , Tarin Ziyaee- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Months
Self-driving cars are the future of smart transportation, and this introductory program is the perfect way to start your journey to a self-driving car career! This program enables anyone with minimal programming experience to learn the essentials of programming a self-driving car, from machine learning to object-oriented programming to probabilistic robotics....
Related searches
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 Implement and organize machine learning projects, from training, validation, parameter tuning, to feature engineering....
$300
Developing AI Applications on Azure
by Ronald J. Daskevich, DCS- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 16 hours to complete
We'll discuss machine learning types and tasks, and machine learning algorithms. Next, this course introduces the machine learning tools available in Microsoft Azure. By the end of this course, you will be able to create, implement and deploy machine learning models. Definition of AI and Machine Learning Machine Learning Alogrithms Comparison of machine learning algorithms...
Intro to TensorFlow for Deep Learning
by Magnus Hyttsten , Juan Delgado , Paige Bailey- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 2 months
Learn how to build deep learning applications with TensorFlow. and take advantage of it for TensorFlow-Lite and TensorFlow-Serving lesson 7 Time Series Forecasting Learning from sequential data with recurrent neural networks lesson 8 Introduction to TensorFlow Lite Learn how you can use TensorFlow lite to build machine learning apps on Android iOS and iOT devices...
Free
