Mr. Arsalan Siddiq worked as an Android intern from May to July 2016, where he created tasks to learn Android basics and logic building. During his internship, his employer found him to be hard-working and intelligent. The employer wished Mr. Siddiq best of luck in his future career pursuits.
Organisasi adalah sistem sosial yang terdiri dari kelompok individu yang bekerja sama untuk mencapai tujuan bersama melalui komunikasi. Individu dan organisasi saling membutuhkan, tanpa kekuatan individu organisasi tidak akan ada. Motivasi individu penting untuk keberhasilan organisasi, yang dapat dibangun melalui pelatihan, pemberian emosi positif, dan pemenuhan kebutuhan dasar seperti yang dijelaskan dalam teori motivasi Mas
Desney S. Tan is a researcher at Microsoft Research who works on human-computer interaction and physiological computing. He received his PhD from Carnegie Mellon University in 2004. His research interests include machine learning, visualization, mobile computing, sensors, and evaluation techniques for improving healthcare and digital experiences. He has published extensively in top conferences and journals and holds several awards for his research contributions.
Dokumen ini membahas tentang pendidikan berbasis masyarakat dan perbandingannya dengan pesantren. Dibahas konsep pendidikan berbasis masyarakat, pesantren sebagai model pendidikan berbasis masyarakat, dan pentingnya pendidikan yang lebih dekat dengan realitas dan permasalahan masyarakat.
This document discusses hidden Markov models (HMMs) and their parameters. It contains the following key points:
1. HMMs are statistical models used to model time series data. They have hidden states that generate observed outputs.
2. HMMs have three main parameters: initial state probabilities, transition probabilities between states, and emission probabilities of observations given states.
3. The Expectation-Maximization (EM) algorithm is commonly used to estimate HMM parameters from observed data by iteratively computing expected state probabilities.
This document discusses two machine learning techniques, supervised and unsupervised, for automatically marking up natural heritage literature to make it structured and machine-readable. It describes a prototype application that uses these techniques to convert free text documents to XML format in both batch and online modes. The supervised technique involves training on manually annotated examples, while the unsupervised technique derives structure solely from the regularities in the text without examples. The document compares the performance of these techniques on a real corpus.
Mr. Arsalan Siddiq worked as an Android intern from May to July 2016, where he created tasks to learn Android basics and logic building. During his internship, his employer found him to be hard-working and intelligent. The employer wished Mr. Siddiq best of luck in his future career pursuits.
Organisasi adalah sistem sosial yang terdiri dari kelompok individu yang bekerja sama untuk mencapai tujuan bersama melalui komunikasi. Individu dan organisasi saling membutuhkan, tanpa kekuatan individu organisasi tidak akan ada. Motivasi individu penting untuk keberhasilan organisasi, yang dapat dibangun melalui pelatihan, pemberian emosi positif, dan pemenuhan kebutuhan dasar seperti yang dijelaskan dalam teori motivasi Mas
Desney S. Tan is a researcher at Microsoft Research who works on human-computer interaction and physiological computing. He received his PhD from Carnegie Mellon University in 2004. His research interests include machine learning, visualization, mobile computing, sensors, and evaluation techniques for improving healthcare and digital experiences. He has published extensively in top conferences and journals and holds several awards for his research contributions.
Dokumen ini membahas tentang pendidikan berbasis masyarakat dan perbandingannya dengan pesantren. Dibahas konsep pendidikan berbasis masyarakat, pesantren sebagai model pendidikan berbasis masyarakat, dan pentingnya pendidikan yang lebih dekat dengan realitas dan permasalahan masyarakat.
This document discusses hidden Markov models (HMMs) and their parameters. It contains the following key points:
1. HMMs are statistical models used to model time series data. They have hidden states that generate observed outputs.
2. HMMs have three main parameters: initial state probabilities, transition probabilities between states, and emission probabilities of observations given states.
3. The Expectation-Maximization (EM) algorithm is commonly used to estimate HMM parameters from observed data by iteratively computing expected state probabilities.
This document discusses two machine learning techniques, supervised and unsupervised, for automatically marking up natural heritage literature to make it structured and machine-readable. It describes a prototype application that uses these techniques to convert free text documents to XML format in both batch and online modes. The supervised technique involves training on manually annotated examples, while the unsupervised technique derives structure solely from the regularities in the text without examples. The document compares the performance of these techniques on a real corpus.
This document provides a summary of Dragomir R. Radev's research interests, employment history, education, funding, patents, and publications. Specifically:
- Radev's research interests include information retrieval, natural language processing, text summarization, and artificial intelligence.
- He is currently an Associate Professor at the University of Michigan across several departments and centers. He has also held positions at IBM and Columbia University.
- Radev received his Ph.D. in Computer Science from Columbia University and has received funding from several agencies including NSF and NIH.
- He holds one U.S. patent and has one additional patent pending. Radev has authored or co-authored over 15
The document summarizes activities undertaken during the summer of 2008 to expand knowledge of 3D modeling using CATIA V5. Key projects included creating instructional videos for a CAD course, developing a design table of mill cutters using Excel, and converting SolidWorks files to CATIA. Collaboration with Boeing included creating a CATIA training course and cutter database using design tables.
Venture capital is high-risk financing that seeks high returns of 50% or more annually. It is best for businesses with heavy R&D needs, large market opportunities, or those requiring a lot of working capital like biotech, semiconductors, or Amazon. However, VC financing greatly dilutes the founder's ownership and gives investors control. It is a lengthy process that is not suitable for startups that are too early, small, or without barriers to entry. Alternative options include bootstrapping, self-financing, funding from friends and family, finding partners, or acquiring an existing business to avoid high dilution from venture capital.
ATP Blog14 - Humichealth.Info- Medicinal Use of Humic Substances; series no.1atpcorporation
Dr. Richard Laub, a former university professor and current research scientist who is one of the leading experts in the world on Humic Acid, has been interviewed at his offices in Newport Beach, CA. The interview can be viewed by clicking a link and discusses Humic Acid's broad-spectrum anti-viral properties. The website provides information on Humic Acid's anti-viral power and other health benefits. It believes daily use of a purified Humic Acid supplement can provide health benefits and protections that are simply unobtainable from any other nutritional supplement.
The Microsoft Semantic Engine provides a unified platform for search, discovery, and insight across both structured and unstructured content. It uses a combination of technologies to develop a contextual understanding of digital information and allows users to blend different content types. The semantic engine consists of pluggable services for tasks like search, analysis, organization, and recommendation. It is designed to be scalable and extensible while also providing value out of the box with no learning curve.
This document provides a summary of Dragomir R. Radev's research interests, employment history, education, funding, patents, and publications. Specifically:
- Radev's research interests include information retrieval, natural language processing, text summarization, and artificial intelligence.
- He is currently an Associate Professor at the University of Michigan across several departments and centers. He has also held positions at IBM and Columbia University.
- Radev received his Ph.D. in Computer Science from Columbia University and has received funding from several agencies including NSF and NIH.
- He holds one U.S. patent and has one additional patent pending. Radev has authored or co-authored over 15
The document summarizes activities undertaken during the summer of 2008 to expand knowledge of 3D modeling using CATIA V5. Key projects included creating instructional videos for a CAD course, developing a design table of mill cutters using Excel, and converting SolidWorks files to CATIA. Collaboration with Boeing included creating a CATIA training course and cutter database using design tables.
Venture capital is high-risk financing that seeks high returns of 50% or more annually. It is best for businesses with heavy R&D needs, large market opportunities, or those requiring a lot of working capital like biotech, semiconductors, or Amazon. However, VC financing greatly dilutes the founder's ownership and gives investors control. It is a lengthy process that is not suitable for startups that are too early, small, or without barriers to entry. Alternative options include bootstrapping, self-financing, funding from friends and family, finding partners, or acquiring an existing business to avoid high dilution from venture capital.
ATP Blog14 - Humichealth.Info- Medicinal Use of Humic Substances; series no.1atpcorporation
Dr. Richard Laub, a former university professor and current research scientist who is one of the leading experts in the world on Humic Acid, has been interviewed at his offices in Newport Beach, CA. The interview can be viewed by clicking a link and discusses Humic Acid's broad-spectrum anti-viral properties. The website provides information on Humic Acid's anti-viral power and other health benefits. It believes daily use of a purified Humic Acid supplement can provide health benefits and protections that are simply unobtainable from any other nutritional supplement.
The Microsoft Semantic Engine provides a unified platform for search, discovery, and insight across both structured and unstructured content. It uses a combination of technologies to develop a contextual understanding of digital information and allows users to blend different content types. The semantic engine consists of pluggable services for tasks like search, analysis, organization, and recommendation. It is designed to be scalable and extensible while also providing value out of the box with no learning curve.