#### Binary Tree Algorithms for Technical Interviews – Full Course

- Frank
- October 19, 2021
- Binary Tree

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) […]

Read More#### 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 […]

Read More#### 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 […]

Read More#### Keras Full Course for Beginners

- Frank
- September 1, 2021
- deep learning and neural networks
- deep learning with keras
- deep learning with keras and tensorflow
- Keras
- keras example
- keras example python
- keras explained
- keras explanation
- keras full course
- keras full tutorial
- keras tutorial
- keras tutorial for beginners
- learn keras
- learn keras for deep neural networks
- learn keras from scratch
- learn keras python
- simplilearn
- simplilearn keras
- what are neural networks
- what is keras
- what is keras and tensorflow

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 […]

Read More#### 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.

Read More#### Get Started with Dataiku: From Data to Machine Learning in 10 Minutes

This tutorial is to quickly help users become familiar with the Dataiku platform (DSS). Links for setting up the tutorial. Step 1: https://www.dataiku.com/ Step 2: https://www.dataiku.com/product/get-started/virtualbox/ Step 3: http://127.0.0.1:10000/ Step 4: https://github.com/ageron/handson-ml Step 5: https://raw.githubusercontent.com/ageron/handson-ml/master/datasets/housing/housing.csv

Read More#### Weekday Demand Sensing at Walmart

WalMart is one of the most data driven organizations on the planet. The SMART Forecasting team at Walmart Labs has built an innovative, cloud-agnostic, scalable platform to improve Walmart’s ability to predict customer demand while improving item in-stocks and reducing food waste. Over a period of two years, all of Walmart’s key departments in the […]

Read More#### Naive Bayes Classifier Explained

- Frank
- August 21, 2021
- edureka
- Machine Learning
- Machine Learning Algorithms
- machine learning edureka
- machine tutorial
- machine tutorial for beginners
- Naive Bayes
- Naive Bayes Algorithm
- Naive Bayes classifier
- naive bayes classifier example
- Naive Bayes classifier in Python
- naive bayes classifier machine learning
- naive bayes classifier python
- naive bayes machine learning
- prediction using naive bayes
- python edureka
- what is naive bayes

Here’s a clear explanation of a Naive Bayes Classifier.

Read More#### Prebuilt Docker Images for Inference in Azure Machine Learning

Seth welcomes Shivani Santosh Sambare to talk about Prebuilt Docker Images for Inference in Azure Machine Learning Jump to: 00:17 Show begins 00:29 Welcome Shivani 00:38 What are the challenges working with ML environments? 01:11 Solutions to ML challenges/environments = Prebuilt Docker Images for Inference 02:12 How do I make this work with other specialized […]

Read More#### Gradient Descent Explained Simply

- Frank
- August 10, 2021
- ai for beginners
- ai prediction
- artificial intelligence
- average loss
- bias
- cross entropy loss
- epoch
- epochs
- error function
- Gradient Descent
- log loss
- log loss function
- loss function
- loss over epochs
- Machine Learning
- mean
- ML
- ml for beginners
- ml prediction
- Neural Network
- Perceptron
- Python
- python ai
- python artificial intelligence
- python ml
- python programming
- python tutorial
- simple gradient descent
- training loss
- update bias
- update weights
- weights

In this video, learn about Gradient Descent and how we can use it to update the weights and bias of our AI model. Time Stamps 00:00 – what is gradient descent? 00:37 – gradient descent vs perception 01:04 – sigmoid activation function 01:45 – bias and threshold 02:06 – weighted sum – working example 02:37 […]

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