Introduction To Optimization: Gradient Based Algorithms
A conceptual overview of gradient based optimization algorithms. NOTE: Slope equation is mistyped at 2:20, should be delta_y/delta_x. This video is part of an ...
AlphaOpt
DeepMind x UCL | Deep Learning Lectures | 5/12 | Optimization for Machine Learning
Optimization methods are the engines underlying neural networks that enable them to learn from data. In this lecture, DeepMind Research Scientist James ...
DeepMind
❖ Optimization Problem #1 ❖
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Optimization Problem #2 ...
patrickJMT
Modern Optimization Methods in Python | SciPy 2017 Tutorial | Michael McKerns
There are audio issues with this video that cannot be fixed. We recommend listening to the tutorial without headphones to minimize the buzzing sound. Tutorial ...
Enthought
Optimizing Inferences Using Principled Missing Data Treatments (MtG)
Description.
NIH ODP
Thomas Huijskens - Bayesian optimisation with scikit-learn
Filmed at PyData London 2017 Description Join Full Fact, the UK's independent factchecking charity, to discuss how they plan to make factchecking dramatically ...
PyData
Ex: Optimization - Maximized a Crop Yield (Calculus Methods)
This video explains how to find the number of trees that will maximize the harvest amount. Site: http://mathispower4u.com.
Mathispower4u
Signal Processing and Machine Learning Techniques for Sensor Data Analytics
We introduce common signal processing methods in MATLAB (including digital filtering and frequency-domain analysis) that help extract descripting features ...
MATLAB
Maximize Profit by Optimizing Production Using Excel Solver
A video showing a simple business problem that you can solve using Excel's Solver add-in. This particular example is focused on optimizing the production mix ...
Mark Zabel
Is Optimization the Right Language to Understand Deep Learning? - Sanjeev Arora
Workshop on Theory of Deep Learning: Where Next? Topic: Is Optimization the Right Language to Understand Deep Learning? Speaker: Sanjeev Arora ...
Institute for Advanced Study
Bayesian Approaches for Black Box Optimization
Bayesian Approaches for Black Box Optimization.
Microsoft Research
Introduction To Optimization: Gradient Free Algorithms (1/2) - Genetic - Particle Swarm
The simplest, and most inefficient gradient free optimization method is to try every possible solution and pick the best answer. While this approach may work for ...
AlphaOpt
SciPy Beginner's Guide for Optimization
Correction: The "product" at 0:30 should be "summation". The code is correct.
APMonitor.com
Apache Spark Core—Deep Dive—Proper Optimization Daniel Tomes Databricks
Optimizing spark jobs through a true understanding of spark core. Learn: What is a partition? What is the difference between read/shuffle/write partitions? How to ...
Databricks
Pricing Analytics: Optimizing Price
The “best” price for a product or service is one that maximizes profits, not necessarily the price that sells the most units. This presentation uses real-world ...
Michael Lamont
PAC-Bayesian Machine Learning: Learning by Optimizing a Performance Guarantee
The goal of machine learning algorithms is to produce predictors having the smallest possible risk (expected loss). Since the quantity to optimize (the risk) is ...
Microsoft Research
Optimizing LC-MS/MS analysis with DO-MS | Gray Huffman | SCP2019
Gray Huffman discusses experimental and computational methods for optimizing single-cell mass-spec analysis. The emphasis will be on methods to establish ...
Nikolai Slavov
Fitting with MATLAB Statistics, Optimization, and Curve Fitting
Example demonstrations include: • Constrained regression • Predictive modeling with large numbers of independent variables • Alternatives to Ordinary Least ...
MATLAB
Scott Clark - Using Bayesian Optimization to Tune Machine Learning Models - MLconf SF 2016
Using Bayesian Optimization to Tune Machine Learning Models: In this talk we briefly introduce Bayesian Global Optimization as an efficient way to optimize ...
MLconf
What Is Data Science? Data Science Course - Data Science Tutorial For Beginners | Edureka
#whatisdatascience #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, ...
edureka!
Lecture 1 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd's first lecture is on ...
Stanford
Optimizing Data Centers
Speaker/Performer: Raju Pandey, UC Davis Sponsor: CITRIS (Ctr for Info Technology Research in the Interest of Society) Biography: Professor Pandey is ...
CITRIS
HPC Transformations: Optimizing Data So You Don't Have To | Rob Latham, Argonne National Laboratory
Presented at the Argonne Training Program on Extreme-Scale Computing, Summer 2016. Slides for this presentation are available here: ...
Argonne National Laboratory Training
Optimizing single-cell analysis of proteins and RNAs | Nikolai Slavov | SCP2020
Presentation by Nikolai Slavov at the single-cell proteomics conference http://single-cell.net Single-cell analysis of proteins and RNAs: Optimizing reliability, ...
Nikolai Slavov
Lecture 17 | Convex Optimization I (Stanford)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on equality constrained minimization for the course, ...
Stanford
Diego Torres Quintanilla: Cleaning, optimizing and windowing pandas with numba | PyData NYC 2019
Pandas has accrued a sizable debt in flexibility and maintainability to deliver excellent performance. This talk will show how Pandas maintainers and Two Sigma ...
PyData
Mod-01 Lec-33 Introduction to multi-variable optimization
Design and Optimization of Energy Systems by Prof. C. Balaji , Department of Mechanical Engineering, IIT Madras. For more details on NPTEL visit ...
nptelhrd
Optimizing Outcomes in Adult Cervical Spine Deformity Surgery - Peter G. Passias, MD, MS
Seattle Science Foundation is a non-profit organization dedicated to the international collaboration among physicians, scientists, technologists, engineers and ...
Seattle Science Foundation
Big Data Analytics | Big Data Explained | Big Data Tools & Trends | Big Data Training | Edureka
1) Why Big Data Analytics? 2) What is Big DataAnalytics? 3) Different Stages in Big Data Analytics 4) Different Types of Big Data Analytics 5) Tools used in Big ...
edureka!
Optimizing Weights
Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud262/l-315142919/m-432088682 Check out the full Advanced Operating Systems course for free ...
Udacity
Experiments 5A - Response surface methods - an introduction
What happens when we leave that range from minus one to plus one that we've been so focused on? We're going to add a new tool to our toolkit that we used to ...
Kevin Dunn
Dima Karamshuk: Data Mining for Optimizing Content Caching and Distribution
As a leading travel marketplace, Skyscanner is serving a daily load of up to a dozen billion flight itineraries to its users across the globe. The distribution of travel ...
Data Science Festival
TutORial: Bayesian Optimization
By Peter Frazier. Bayesian optimization is widely used for tuning deep neural networks and optimizing other black-box objective functions that take a long time to ...
INFORMS
Optimizing Your Game | Live Training | Unreal Engine Livestream
When developing any type of project in UE4, trying to maintain a target framerate of 30, 60 or even 90 FPS without sacrificing the quality of the visuals can be a ...
Unreal Engine
D3D 2015: Data, Drugs, Diagnostics - Optimizing Preclinical Imaging Workflows with Online Tools
Common preclinical research challenges such as data inaccuracy, subjectivity, and irreproducibility can be addressed through smart online tools. By improving ...
PlanetConnect Events
DODGE DATA WEBINAR Optimizing Owner Organizations
Watch Steve Jones of Dodge Data & Analytics in an engaging webinar where he shares impressive research data that reveals the key performing indicators that ...
e-Builder
Fundamentals of Qualitative Research Methods: Data Analysis (Module 5)
Qualitative research is a strategy for systematic collection, organization, and interpretation of phenomena that are difficult to measure quantitatively. Dr. Leslie ...
YaleUniversity
What Router Settings Should You Change?
What settings in your cryptic router options menu are worth a second look? Share your mouse and keyboard between multiple computers with Synergy!
Techquickie
Hyperparameter Optimization for Xgboost
In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm.
Krish Naik
Optimize your game with the Profile Analyzer - Unite Copenhagen 2019
Have you ever needed to compare the difference in performance between two versions of your project? This session will show you how to use Unity's Profile ...
Unity
Oracle Cost Based Optimizer Basics
When it comes to writing efficient queries there are a few key concepts that need to be understood. One of them is the Oracle Cost-Based Optimizer (CBO).
Redgate Videos
Day 6 Keynote. Reinforcement Learning for Optimizing Healthcare Decisions- Prof. Finale Doshi-Velez
Prof. Finale Doshi-Velez (Harvard University)
Deep Learning Indaba
