Search result for Mathematics for machine learning specialization Online Courses & Certifications
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Project Planning and Machine Learning
by David Sluiter- 4.7
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Approx. 17 hours to complete
* How machine learning algorithms work - a basic introduction * Why we want to study big data and how to prepare data for machine learning algorithms Machine Learning Segment 4 - Machine Learning Schools of Thought Segment 6 - Categories of Machine Learning Segment 20 - Machine Learning in IIoT Segment 21 - Machine Learning Summary...
Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
by Eric Siegel- 4.9
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Approx. 14 hours to complete
This specialization includes illuminating software demos of machine learning in action using SAS products. Machine learning for government and healthcare Machine learning for government and healthcare Sourcing the staff for a machine learning project Machine learning for social good Machine learning for social good - more examples (optional) Machine learning for social good...
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 22 hours to complete
It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI. Basic Recipe for Machine Learning Weight Initialization for Deep Networks Practical aspects of Deep Learning Learning Rate Decay...
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
In most cases, the ultimate goal of a machine learning project is to produce a model. You'll build multiple models to address each of these problems using the machine learning workflow you learned about in the previous course. Linear Regression in Machine Learning Guidelines for Building a Regression Model Using Linear Algebra...
Convolutional Neural Networks
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 35 hours to complete
It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI. Transfer Learning One Shot Learning...
The Data Science Course 2021: Complete Data Science Bootcamp
by 365 Careers- 4.6
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28.5 hours on-demand video
Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning For example, one would struggle in the application of Machine Learning techniques before understanding the underlying Mathematics. This section covers all common machine learning techniques and deep learning methods with TensorFlow. Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)...
$16.99
Sequence Models
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.8
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Approx. 36 hours to complete
In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. Learning Word Embeddings...
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Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
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Approx. 12 hours to complete
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas....
AI Workflow: AI in Production
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 17 hours to complete
There is an introduction to IBM Watson Machine Learning. Use IBM Watson OpenScale to assess bias and performance of production machine learning models. This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Security and Machine Learning Models...
Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
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Approx. 27 hours to complete
This course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. Then we introduce the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML....
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