Machine Learning courses

Machine learning is the science of getting computers to act without being explicitly programmed. Machine learning (ML) has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome in the past decade. Machine Learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.

In this courses list, you will learn about the most effective ML techniques and practice implementing them and getting them to work for yourself. More importantly, you'll understand the theoretical underpinnings of learning and gain the practical know-how to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in machine learning and AI innovation.

Total courses: 254
Duration
Build Regression, Classification, and Clustering Models
4.25

Train and evaluate linear regression models. Train binary and multi-class classification models. Evaluate and tune classification models to improve their performance. Train and evaluate clustering models to find useful patterns in unsupervised data.

  • Flexible deadline
  • 20 hours
  • Certificate
Human Factors in AI
4.87

Identify and mitigate privacy and ethical risks in AI projectsApply human-centered design practices to design successful AI product experiencesBuild AI systems that augment human intelligence and inspire model trust in users

  • Flexible deadline
  • 17 hours
  • Certificate
AI for Medical Prognosis
4.69

Walk through examples of prognostic tasksApply tree-based models to estimate patient survival ratesNavigate practical challenges in medicine like missing data

  • Flexible deadline
  • 31 hours
  • Certificate
Machine Learning for Accounting with Python
4.51

The concept of various machine learning algorithms. How to apply machine learning models on datasets with Python in Jupyter Notebook. How to evaluate machine learning models. How to optimize machine learning models.

  • Flexible deadline
  • 64 hours
  • Certificate
AI for Medical Diagnosis
4.67

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. As an AI practitioner, you have the opportunity to join in...

  • Flexible deadline
  • 20 hours
  • Certificate
Datacamp

Continue your machine learning journey by diving into the wonderful world of ensemble learning methods! These are an exciting class of machine learning techniques that combine multiple individual algorithms to boost performance and solve complex...

  • Flexible deadline
  • 4 hours
  • Certificate
Machine Learning with Python
4.67

Give examples of Machine Learning in various industries. Outline the steps machine learning uses to solve problems. Provide examples of various techniques used in machine learning. Describe the Python libraries for Machine Learning.

  • Flexible deadline
  • 22 hours
  • Certificate
Datacamp

This beginner-level introduction to machine learning covers four of the most common classification algorithms. You will come away with a basic understanding of how each algorithm approaches a learning task, as well as learn the...

  • Flexible deadline
  • 4 hours
  • Certificate
Probabilistic Graphical Models 1: Representation
4.64

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations s...

  • Flexible deadline
  • 67 hours
  • Certificate
Recommender Systems:  Evaluation and Metrics
4.36

In this course you will learn how to evaluate recommender systems. You will gain familiarity with several families of metrics, including ones to measure prediction accuracy, rank accuracy, decision-support, and other factors such as diversity,...

  • Flexible deadline
  • 7 hours
  • Certificate
Capstone Project: Advanced AI for Drug Discovery

A​nalyzing genome sequences to find similarities and identify target subsequences using predctive models.

  • Flexible deadline
  • 12 hours
  • Certificate
Getting started with TensorFlow 2
4.89

Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models...

  • Flexible deadline
  • 26 hours
  • Certificate
Datacamp

This course covers the basics of how and when to perform data preprocessing. This essential step in any machine learning project is when you get your data ready for modeling. Between importing and cleaning your...

  • Flexible deadline
  • 4 hours
  • Certificate
Mathematics for Machine Learning: Linear Algebra
4.65

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with...

  • Flexible deadline
  • 19 hours
  • Certificate
Datacamp

Time series data is ubiquitous. Whether it be stock market fluctuations, sensor data recording climate change, or activity in the brain, any signal that changes over time can be described as a time series. Machine...

  • Flexible deadline
  • 4 hours
  • Certificate
Build Basic Generative Adversarial Networks (GANs)
4.72

In this course, you will: - Learn about GANs and their applications - Understand the intuition behind the fundamental components of GANs - Explore and implement multiple GAN architectures - Build conditional GANs capable of...

  • Flexible deadline
  • 36 hours
  • Certificate
Create and Lead an Ethical Data-Driven Organization
4.52

Lead an applied ethics initiative, and champion its crucial importance. Promote an ethical organizational culture. Develop and implement ethical organizational policies and a code of ethics. Evaluate the effectiveness of a code of ethics w...

  • Flexible deadline
  • 13 hours
  • Certificate
Deep Learning Methods for Healthcare

This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large...

  • Flexible deadline
  • 22 hours
  • Certificate
Sequence Models for Time Series and Natural Language Processing
4.4

This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length. • Predict future values of a time-series • Classify...

  • Flexible deadline
  • 15 hours
  • Certificate
Datacamp

Neural networks have been at the forefront of Artificial Intelligence research during the last few years, and have provided solutions to many difficult problems like image classification, language translation or Alpha Go. PyTorch is one...

  • Flexible deadline
  • 4 hours
  • Certificate