Machine Learning

Machine Learning

Random Forest in Machine Learning

This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used. Time stamps: 00:00 Introduction 01:16 What is Classification 02:34 What is Random Forest? 03:11 Why Random Forest? 07:36 Ensemble Learning 10:22 Random Forest Analogy 15:00 How good is your model?

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AWS Machine Learning

Bratin Saha on How SageMaker is Advancing Machine Learning

Bratin Saha, VP and General Manager, Machine Learning Services, AWS, discusses how the cloud has enabled machine learning, and focuses on SageMaker’s ability to ease ML deployment.

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AWS Machine Learning

Machine Learning with Julia on AWS SageMaker

Julia has its fans and it has come a long way. If you want to start using it in real projects, here’s a great tutorial on how to use Julia in AWS Sagemaker.

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Machine Learning

10 Hour Machine Learning Coding Marathon

Tune in for 10 hours straight to watch a machine learning marathon.

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AI Machine Learning

[ML News] Google introduces Pathways | OpenAI solves Math Problems | Meta goes First Person

Yannic provides us with a  dose of Machine Learning News. Time stamps: 0:00 – Intro 0:20 – Sponsor: Weights & Biases 2:10 – Google Introduces Pathways AI Architecture 6:30 – OpenAI trains Language Models to do High School Math 8:25 – Sam Altman says Neural Networks truly learn 9:35 – Google AI researchers frustrated with […]

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Career Machine Learning

Binary Tree Algorithms for Technical Interviews – Full Course

Learn how to implement binary tree algorithms and how to use them to solve coding challenges. Course Contents: (0:00:00) Course Introduction (0:01:09) What is a Binary Tree? (0:11:28) Binary Tree Node Class (0:14:19) Depth First Values – (https://structy.net/problems/depth-first-values) (0:36:00) Breadth First Values – (https://structy.net/problems/breadth-first-values) (0:47:43) Tree Includes – (https://structy.net/problems/tree-includes) (1:05:35) Tree Sum – (https://structy.net/problems/tree-sum) (1:19:53) […]

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Databricks Machine Learning

Scaling AutoML-Driven Anomaly Detection with Luminaire

Zillow has built an orchestration framework around Luminaire, our open-source python library for hands-off time-series Anomaly Detection. Luminaire provides a suite of models and built-in AutoML capabilities which they process with Spark for distributed training and scoring of thousands of metrics. In this talk, learn the architecture of this framework and performance of the Luminaire […]

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Machine Learning

Machine Learning Course for Beginners

Learn the theory and practical application of machine learning concepts in this free comprehensive course for beginners. 💻 Code on GitHub Course Time Stamps: (0:00:00) Course Introduction (0:04:34) Fundamentals of Machine Learning (0:25:22) Supervised Learning and Unsupervised Learning In Depth (0:35:39) Linear Regression (1:07:06) Logistic Regression (1:24:12) Project: House Price Predictor (1:45:16) Regularization (2:01:12) Support […]

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Machine Learning TensorFlow

Keras Full Course for Beginners

Keras is a high-level, deep learning API developed by Google for implementing neural networks. Written in Python, it is used to make the implementation of neural networks easy. Keras is relatively easy to learn and work with because it provides a python frontend with a high level of abstraction while having the option of multiple […]

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Machine Learning

Designing Better ML Systems: Learnings from Netflix

Savin Goyal shares lessons learned by Netflix building their ML infrastructure, and some of the tradeoffs to consider when designing or buying a machine learning system. This presentation was recorded at QCon Plus 2020.

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