Search result for Introduction to machine learning mit Online Courses & Certifications
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Introduction to Machine Learning Course
by Katie Malone , Sebastian Thrun- 0.0
Timeline Approx. 10 Weeks
lesson 1 Welcome to Machine Learning Learn what Machine Learning is and meet Sebastian Thrun! Find out where Machine Learning is applied in Technology and Science. Learn the formulas for entropy and information gain and how to calculate them. lesson 5 Choose your own Algorithm Decide how to pick the right Machine Learning Algorithm among K-Means, Adaboost, and Decision Trees....
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. Machine learning in particle identification Search for Dark Matter Hints with Machine Learning at new CERN experiment...
Fundamentals of Machine Learning for iOS and Core ML
by Brain Labs- 4.2
3 hours on-demand video
Introduction to machine learning for iOS App Development and the Core ML Framework This course provides an introduction to machine learning and the Core ML framework, and goes over on how to build your own custom machine learning model and integrate it into an iOS app. Introduction to machine learning and the Core ML framework....
$13.99
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....
人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
by 于天立- 4.6
Approx. 12 hours to complete
1-1 Brief Introduction to Machine Learning, Learning from Example 1-6 Biased and Unbiased Hypothesis Space, Futility of Bias-Free Learning Computational Learning Theory 2-1 Introduction to Computational Learning Theory, Setting of Sample Complexity 3-2 Learning Decision Tree, Information Neural Network and Deep learning 4-1 Introduction to Neural Network 4-2 Single-Layer Network and Perceptron Learning Rule...
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 Machine Learning Structure of a Machine Learning Problem Introduction to Unsupervised Learning...
Model Building and Validation
by Don Dini , Rishi Pravahan- 0.0
Approx. 8 weeks
Many of you may have already taken a course in machine learning or data science or are familiar with machine learning models. Analyze a Twitter dataset and try to predict when a person will tweet next! lesson 3 Modeling Phase Build rigorous mathematical statistical and machine learning models to make accurate predictions....
Free
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Matrix Factorization and Advanced Techniques
by Michael D. Ekstrand , Joseph A Konstan- 4.3
Approx. 16 hours to complete
In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Introduction to Matrix Factorization and Dimensionality Reduction Assignment Introduction Advanced Machine Learning Learning Recommenders Learning to Rank: Interview with Xavier Amatriain Programming Hybrids & Learning to Rank Programming Hybrids and Machine Learning Description...
Google Cloud Big Data and Machine Learning Fundamentals
by Google Cloud Training- 4.7
Approx. 12 hours to complete
Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. Introduction to the Data and Machine Learning on Google Cloud Course Welcome to Big Data and Machine Learning Fundamentals Introduction to machine learning...
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
by Avi Ma’ayan, PhD- 4.8
Approx. 9 hours to complete
Introduction to LINCS L1000 Data Introduction to Metadata and Ontologies | Part 1 Introduction to Metadata and Ontologies | Part 2 Data Clustering | Part 1 | Introduction Machine Learning Introduction to Machine Learning | Part 1 Introduction to Machine Learning | Part 2 Introduction to Machine Learning | Part 3...