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Intro to Deep Learning

Quantum Machine Learning

Introduction to Machine Learning for Coders!

Principles of Machine Learning: Python Edition

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Mathematics of Deep Learning, NYU, Spring (2018)

Machine Learning for Data Science and Analytics

Stanford CS229: Machine Learning | Autumn 2018

Pattern Recognition and Application

Machine Learning: Classification

Neural Networks for Machine Learning

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Probabilistic Graphical Models 2: Inference

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Applied Machine Learning

Introduction to Recommender Systems

Overview of Advanced Methods of Reinforcement Learning in Finance

Coursera machine learning

Reinforcement Learning in Finance

Developing Machine Learning Applications

Introduction to Machine Learning (IITKGP)

Intro to Machine Learning

Foundations of Data Science - YouTube

Feature Engineering

Prediction and Control with Function Approximation

Machine Learning,ML

Principles of Machine Learning: R Edition

Machine Learning Interview Preparation

Applying Machine Learning to your Data with GCP

Learning from Data (Introductory Machine Learning course)

Machine Learning for Musicians and Artists

Applied Machine Learning in Python

Reinforcement Learning Explained

Advanced Machine Learning

Serverless Machine Learning with Tensorflow on Google Cloud Platform

Machine Learning Exam Basics

Sequences, Time Series and Prediction

Convolutional Neural Networks

Introduction to Machine Learning (IITKGP)

Mathematics for Machine Learning: Multivariate Calculus

Machine learning in Python with scikit-learn

Machine Learning with TensorFlow on Google Cloud Platform Specialization

Notes

Sample-based Learning Methods

Machine Learning: Recommender Systems & Dimensionality Reduction

How Google does Machine Learning

Machine Learning

Machine Learning with Python: from Linear Models to Deep Learning

Neural Networks for Signal Processing - I

Machine Learning Using SAS Viya

Machine Learning: Unsupervised Learning

Introduction to Deep Learning (2018)

Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization

Machine Learning for Business Professionals

Probabilistic Graphical Models 3: Learning

Mathematics for Machine Learning: Linear Algebra

Fundamentals of Reinforcement Learning

Guided Tour of Machine Learning in Finance

Classification Models

Probabilistic Graphical Models 1: Representation

Foundations of Data Science: Prediction and Machine Learning

Advanced Machine Learning and Signal Processing

Learning from data (2012)

Mathematics for Machine Learning: Linear Algebra

Machine Learning: Regression

Machine Learning Foundations: A Case Study Approach

Machine Learning with Python

Machine Learning

Structuring Machine Learning Projects

Convolutional Neural Networks in TensorFlow

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Exploring the Machine Learning Toolset

Tensorflow for deep learning research (2017)

Introduction to Recommender Systems: Non-Personalized and Content-Based

Java Programming: Build a Recommendation System

Foundations of Machine Learning

Demystifying AI/ML/DL

Deploying Machine Learning Models

Practical Predictive Analytics: Models and Methods

Distributed Machine Learning with Apache Spark

Machine Learning Summer School 2020

Time Series Forecasting

Essential Math for Machine Learning: Python Edition

Practical Machine Learning

Machine Learning for Engineering and Science Applications

Business Application of Machine Learning and Artificial Intelligence in Healthcare

Amazon’s Machine Learning University course (2018)

Foundations of Data Science: Prediction and Machine Learning

Practical Deep Learning For Coders (2018)

Advanced Machine Learning

Reinforcement Learning

Machine Learning: Clustering & Retrieval

Enterprise Machine Learning in a Nutshell

Machine Learning with Python: A Practical Introduction

Segmentation and Clustering

Machine Learning

Learning From Data (Introductory Machine Learning)

Introduction to Machine Learning for Coders

Addressing Large Hadron Collider Challenges by Machine Learning

Statistical Machine Learning

Practical Reinforcement Learning

MIT Deep Learning (2019)

Introduction to matrix methods (2015)

mlcourse.ai

CS190.1x: Scalable Machine Learning

Statistical learning (2015)

Bayesian Methods for Machine Learning

CS125x: Advanced Distributed Machine Learning with Apache Spark

Dynamic Programming: Applications In Machine Learning and Genomics

Recommender Systems Capstone

Visual Recognition & Understanding

Serverless Machine Learning with Tensorflow on Google Cloud Platform

Machine Learning Crash Course with TensorFlow APIs

Machine Learning

Introduction to Machine Learning

Data Science and Machine Learning Capstone Project

ML Building Blocks: Services and Terminology

Principles of Machine Learning

Fundamentals of Machine Learning in Finance

Machine Learning With Big Data

Machine Learning

Neural networks for machine learning

Launching into Machine Learning

Machine Learning for Data Analysis

Big Data Applications: Machine Learning at Scale

Core ML: Machine Learning for iOS

Introduction to Machine Learning

Mathematics for Machine Learning: PCA

Nearest Neighbor Collaborative Filtering

Machine Learning Crash Course (2018)

Machine Learning Security

Machine learning for data science (2015)

Machine Learning Fundamentals

Art and Science of Machine Learning

Machine Learning for Business Professionals

End-to-End Machine Learning with TensorFlow on GCP

DAT203x: Data Science and Machine Learning Essentials

Machine Learning 1—Supervised Learning

Neural Networks and Deep Learning

Practical Machine Learning on H2O

Recommender Systems: Evaluation and Metrics

Practical Machine Learning with Tensorflow

Essential Math for Machine Learning: R Edition

Fundamentals of Machine Learning

Essential Math for Machine Learning: R Edition

Production Machine Learning Systems

Artificial intelligence for robotics

Machine Learning Capstone: An Intelligent Application with Deep Learning