Program recovering the oligonucleotide sequence
Program recovering the oligonucleotide sequence. The program is designed to recover the nucleotide sequence of the sequenced DNA fragment on the basis of ...
GAMMA DNA
Lecture 33 | Decision Theory 3: Optimal Policies for Sequential Decisions
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Mathematics 10 Module 7B Solving Problems Involving Sequence
Kung tinatamad kang magbasa ng Module, panoorin mo na lang ito. Nandyan na lahat ng explanation.
John William Ponce
3) Next Generation Sequencing (NGS) - Coverage & Sample Quality Control
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Applied Biological Materials - abm
MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
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Lex Fridman
From The Vault: Triton Studio Video Manual
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Korg
Reinforcement Learning 4: Model-Free Prediction and Control
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DeepMind
The Perfect Bet | Adam Kucharski | Talks at Google
Adam came into our London office to discuss the long and tangled history between betting and science, and explains why gambling continues to generate ...
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Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 15 – Natural Language Generation
Professor Christopher Manning & PhD Candidate Abigail See, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M.
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AWS re:Invent 2018: Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336)
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Amazon Web Services
Network Analyst: An Introduction
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Esri Events
Body Hydration: The Key to Improved Performance, Health, and Life | Chris Gintz | TEDxHiltonHead
Monitoring your body hydration is the key to maintaining good health. New, non-invasive instruments make it possible for people of all ages to scientifically take ...
TEDx Talks
Winning (?) LeetCode Biweekly Contest 12 — screencast with commentary
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Errichto
Python Programs | Fibonacci Series, Interview Programs, Pattern Programs in Python | Edureka
Python Certification Training: https://www.edureka.co/data-science-python-certification-course This Edureka video on 'Python Programs' will cover the various ...
edureka!
Lecture - 15 Limited Resource Allocation
Lecture series on Project and Production Management by Prof. Arun kanda, Department of Mechanical Engineering. For more details on NPTEL visit ...
nptelhrd
Proceedings on Systems | Shohag Barman, Taiki Fuji, Yahui Long, Gian Marco Messa - ECCB 2020
Proceedings on Systems | Shohag Barman, Taiki Fuji, Yahui Long, Gian Marco Messa - ECCB 2020.
ISCB
ArcGIS Online: Routing and Network Analysis
This workshop provides an overview of the routing and network analysis tools and services that are part of ArcGIS Online. Today, all of the traditional Network ...
Esri Events
Sequential Decision Making: Prophets and Secretaries II
Matt Weinberg, Princeton University https://simons.berkeley.edu/talks/matt-weinberg-08-22-2016-2 Algorithms and Uncertainty Boot Camp.
Simons Institute
Strategies for Sequential Experimentation
Design of experiments is typically presented as a “one-shot” approach. However, it may be more efficient to divide the experiment into smaller pieces, thus ...
Statistics Made Easy by Stat-Ease
Lecture 15 | Convex Optimization I (Stanford)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on how unconstrained minimization can be used in electrical ...
Stanford
Sequential Stopping for Parallel Monte Carlo by Peter W Glynn
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava ...
International Centre for Theoretical Sciences
Control a Stepper Motor with Hall Effect Switches
After we learn how Hall Effect switches work, we'll use them to build limit switches and homing sensors for stepper motors. Article with code samples ...
DroneBot Workshop
CRISPR Screening - The What, Why and How
Speaker: Benedict C. S. Cross, PhD, Team leader (Discovery Screening), Horizon Discovery CRISPR–Cas9 mediated genome editing provides a highly efficient ...
Horizon Discovery
Codeforces Good Bye 2020 Solutions (A-G)
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Colin Galen
Adverse Drug Reaction (Part 01) = Introduction and Classification (HINDI) By Solution Pharmacy
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Solution- Pharmacy
Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning
Hado Van Hasselt, Research Scientist, discusses function approximation and deep reinforcement learning as part of the Advanced Deep Learning ...
DeepMind
Reinforcement Learning 1: Introduction to Reinforcement Learning
Hado Van Hasselt, Research Scientist, shares an introduction reinforcement learning as part of the Advanced Deep Learning & Reinforcement Learning ...
DeepMind
Lecture 19. Sequential Importance Sampling with Resampling
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Scientific Computing and Artificial Intelligence
Batch Processing in 2019
Ah, a typical day at work. Come in, get your coffee, check email. What does that typical day in the life of a modern batch developer look like? We aren't talking ...
SpringDeveloper
Helium Carrier Gas for GC and GC/MS Conserving Helium Resources, Converting to Hydrogen and Nitrogen
Presented By: Jim McCurry Speaker Biography: Jim McCurry is a senior applications chemist specializing in analytical chemistry measurements using gas ...
LabRoots
Best practices: Async vs. coroutines - Unite Copenhagen
Before async was introduced in Unity 2017, asynchronous routines were implemented using coroutines and/or callbacks. This video covers the benefits of async ...
Unity
NTB-T08 | Full-Length RNA-Seq... - Tseng, Weber, Conesa, Arzalluz-Luque, Palacios - ECCB 2020
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Amazon SageMaker’s Built-in Algorithm Webinar Series: DeepAR Forecasting
In this webinar, Kris Skrinak, AWS Partner Solution Architect, will deep dive into time series forecasting with deep neural networks using Amazon SageMaker ...
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Lecture 6 | Training Neural Networks I
In Lecture 6 we discuss many practical issues for training modern neural networks. We discuss different activation functions, the importance of data ...
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Optimal Product Design by Sequential Experiments in High Dimensions
The identification of optimal product and package designs is challenged when attributes and their levels interact. Firms recognize this by testing trial products ...
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Identification of antiviral compounds against equid herpesvirus-1 using RTCA screening
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S03E03: The one with Ali Tajer talking about Active Sensing for Quickest Event Detection in Networks
Title: Active Sensing for Quickest Event Detection in Networks Abstract: Many social and technological networks can be modeled as stochastic networks.
Shannon Channel
STAT3 phosphorylation during phagocytosis is required to activate autophagy and prevent macrophage..
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UiPath Debugging and Exception Handling 5.1
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AP Biology: Cell Cycle; Mitosis - Investigation 7
This AP Biology class covers the Cell Cycle and Mitosis - Investigation 7. Learning Objectives: - Describe the events that occur in the cell cycle. - Explain how ...
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Reinforcement Learning 6: Policy Gradients and Actor Critics
Hado Van Hasselt, Research Scientist, discusses policy gradients and actor critics as part of the Advanced Deep Learning & Reinforcement Learning Lectures.
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Sequence Models and the RNN API (TensorFlow Dev Summit 2017)
In this talk, Eugene Brevdo discusses the creation of flexible and high-performance sequence-to-sequence models. He covers reading and batching sequence ...
Google Developers
