#### How to Get Started with Machine Learning using Spark MLlib

- Frank
- January 31, 2022
- Algorithms
- algorithms in machine learning
- data science edureka
- Data Science Training
- Data Science Tutorial
- edureka
- Machine Learning
- Machine Learning Algorithms
- machine learning algorithms explained
- machine learning algorithms tutorial
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- machine learning edureka
- machine learning in R
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- machine learning tutorial
- machine learning tutorial for beginners
- Machine Learning with R
- what is machine learning

This Edureka “Machine Learning using Spark MLlib” video will help you to get started with Machine Learning and MLLib.

Read More#### The Blossom Algorithm

An overview of the Blossom algorithm for maximum graph matching. Time stamps: 0:00 – Introduction 0:41 – Definitions 1:02 – Augmenting paths 1:42 – Maximum tree matching 3:06 – Blossoms 4:06 – Maximum general graph matching 4:59 – Overview 5:46 – Outro Source code: https://github.com/xiaoxiae/videos/tree/master/06-edmonds-blossom

Read More#### Could You Ever Upload Your Mind Into A Computer?

Philosophy Tube explores what the future holds for consciousness, compute, and AI. What does this mean? Biology meets computer science meets philosophy! Following a discussion between Antonio Damasio and Aubrey de Grey I was inspired to talk about minds and brains, computers, artificial intelligence, and technology! It’s these mash-ups of different fields and disciplines that […]

Read More#### Graph Theory Tutorial

- Frank
- January 14, 2020
- Algorithms
- algorithms course
- algorithms for beginners
- coding interview
- Computer Science
- cracking the coding interview
- Data Structures
- data structures and algorithms
- Graph Theory
- graph theory course
- graph theory for beginners
- graph theory tutorial
- Java
- java algorithms
- java data structures
- java graph theory

This full 6 hour+ course provides a complete introduction to Graph Theory algorithms in computer science. Code: https://github.com/williamfiset/algorithms Slides: https://github.com/williamfiset/Algorithms/tree/master/slides/graphtheory Course created by William Fiset. Check out his YouTube channel: https://www.youtube.com/channel/UCD8yeTczadqdARzQUp29PJw ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Graph Theory Introduction ⌨️ (0:13:53) Problems in Graph Theory ⌨️ (0:23:15) Depth First Search Algorithm ⌨️ (0:33:18) Breadth […]

Read More#### Reliable Machine Learning Systems

- Frank
- January 14, 2020
- AI research
- Algorithms
- bacteria
- Biology
- classification
- Computer Science
- Deep Learning
- diagnosis
- Genetics
- Genomics
- google research
- Healthcare
- healthcare AI
- LSTM network
- Machine Learning
- Math
- Mathematics
- Medicine
- Neural Network
- neurIPS
- Python
- recurrent network
- Siraj Raval
- Statistics
- TensorFlow

Siraj Raval has a video exploring a paper about genomics and creating reliable machine learning systems. Deep learning classifiers make the ladies (and gentlemen) swoon, but they often classify novel data that’s not in the training set incorrectly with high confidence. This has serious real world consequences! In Medicine, this could mean misdiagnosing a patient. […]

Read More#### Donald Knuth on Algorithms, Complexity, Life, and The Art of Computer Programming

Donald Knuth is one of the greatest and most impactful computer scientists and mathematicians ever. He is the recipient in 1974 of the Turing Award, considered the Nobel Prize of computing. He is the author of the multi-volume work, the magnum opus, The Art of Computer Programming. He made several key contributions to the rigorous […]

Read More#### Random Forest for Beginners

Stemplicity has a great introductory video on random forests.

Read More#### Machine Learning Algorithms Explained

Here’s a great review of the most common machine learning algorithms by InfoWorld. Recall that machine learning is a class of methods for automatically creating predictive models from data. Machine learning algorithms are the engines of machine learning, meaning it is the algorithms that turn a data set into a model. Which kind of algorithm […]

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