Data science : stock price prediction - (forecast and nowcast) using Echo state networks I've always been fascinated by the stock market and have spent countless hours studying charts, fundamentals, algorithmic trading, etc. Primary focus areas: The first step of the process is feature extraction, which involves identifying meaningful characteristics of something that set it apart from something else. If it successfully distinguishes names from non-names, we’ve built a successful model. Image Recognition Natural Language Processing versucht, natürliche Sprache zu erfassen und mithilfe von Regeln und Algorithmen computerbasiert zu verarbeiten. 1. Companies such as Arria , Narrative Science and Automated Insights have their own NLG platforms that automatically generate narratives on a huge scale that sound like they were created by humans. My PhD research in computational chemistry trained me to think... Having trouble hiring the right technical candidate? I have experience in delivering projects in different verticals like - I am a Princeton-educated computational neuroscientist by training. An important part of the Big Data revolution has been the rise in the use of unstructured data. We might say that a name usually begins with a capital letter and is likely to be found in a book of baby names. Natural Language Processing (NLP) has long been one of the holy grails of computer science. Deep Learning Without consciously thinking about it, we correct grammar mistakes, resolve ambiguities, and infer meaning that isn’t explicitly stated. Depending on the size of the datasets you’re working with and your specific business requirements, you might also want a database expert to manage document storage, or data engineers to design and manage a data pipeline, especially if you need to analyze a constant stream of new data in or near real time. Natural Language Processing Jobs in Centreville, VA Browse 2 Natural Language Processing jobs with Upwork - the top freelancing website. I love solving difficult problems, and pride myself on being able to find the right tool for the job. Natural Language Processing Jobs in Coconut Grove, FL Browse 1 Natural Language Processing jobs with Upwork - the top freelancing website. Get qualified proposals within 24 hours. Published author of ANSI standards. Upwork connects you with top talent around the world, or near you. Here is a list of my technical skills: Knowledgeable linguist with 6+ years audio production experience recording, producing, and editing feature-length documentaries, explainer videos, phone prompts, and educational modules. I mostly work in Python, but have lots of experience with C, and can quickly learn how to use new tools as needed. NLP / Computer vision : Please refer "Deep learning specialized profile" for specific project details and know-how. Data Visualisation While we all know that computers are better than humans at making sense of highly structured information, there are still some important areas where humans are undeniably better than machines. In reality, though, processing language and turning it into meaningful information is an extremely complex and difficult task. (For instance, if the name “jason” appears uncapitalized, the computer might still recognize it as a name because it appears in our book of baby names.) Every year, these voice assistants seem to get better at recognizing and executing the things we tell them to do. I am skilled in Machine Learning and Artificial Intelligence and work on a wide range of projects involving Chatbot Development, Artificial Intelligence and Natural Language Processing technology. NLP is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way. NLP setzt auf verschiedene Arten von Machine Learning Supervised Machine Learning und Unsupervised Machine Learning, um auf Basis statistischer Modelle sowie Vektorraumanalysen Inhalt und Struktur von Texten und gesprochener Spra… Thanks in large part to systems like Hadoop and Spark, we now have the ability to quickly process huge troves of unstructured data that in the past would have just been left sitting in boxes and warehouses. Using these feature vectors, we would train the computer to recognize first names, taking all of our different features into account. I have a lot experiences working with different machine learning models in natural language processing, time series analysis, fraud detection, and computer vision, and I keep track of the cutting-edge developments in machine learning and try to bring their benefits to my clients. Misspellings, idioms, slang, and common grammatical errors may not prevent a human from understanding the meaning of a text, but computers aren’t able to understand when the rules aren’t followed to the letter. Versed in interpreting complex material and handling a heavy workload with ease. Familiar with common data tech stacks, architecture design, DevOps, and ML (Data Science) including Airflow, Kafka, Hadoop, PySpark, Kubernetes, AWS, Google Cloud Platform. By leveraging NLP, many organizations are able to create new value and improve efficiency. I specialize in Computer Vision and Fintech, but have experience in many aspects of Deep Learning / Machine Learning / AI. Automation What is the best job to do? This has changed with the advent of machine learning. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. Predictive Analytics Misspellings, idioms, slang, and common grammatical errors may not prevent a human from understanding the meaning of a text, but computers aren’t able to understand when the rules aren’t followed to the letter. Natural Language Processing (NLP) - im deutschen Sprachraum auch Computerlinguistik oder linguistische Datenverarbeitung genannt - bezeichnet die algorithmische Verarbeitung von natürlicher Sprache. (For instance, if the name “jason” appears uncapitalized, the computer might still recognize it as a name because it appears in our book of baby names.) Textile patterns classification, B. While we all know that computers are better than humans at making sense of highly structured information, there are still some important areas where humans are undeniably better than machines. But the way people actually speak and use language often doesn’t follow the rules. - MySQL, MongoDB, CouchDB, PostgreSQL, Redis I have experience automating data ETL: extracting your data from disparate sources, transforming it into a usable form, and loading it into a database for further analysis. Given my deep learning experience in research as well as in industry, I have the skills and expertise to take an idea to a production ready and scalable code. Pattern also provides modules for graphic data structures that show the relationship between nodes representing different words or concepts. I have BSc in Computational Linguistics and MSc in Artificial Intelligence and have been working as an NLP Engineer / Chatbot Developer for the last 4 years. I can help you with: Machine learning refers to the use of a combination of real-world and human-supplied characteristics (called “features”) to train computers to identify patterns and make predictions. But the way people actually speak and use language often doesn’t follow the rules. I am an expert at building strong solutions for wide range of operational needs. My Specialization and Inspiration are: Custom Spacy NLP pipelines in bio medical and clinical domain .... - Data analysis - Ability in feature engineering, identify business issues and applying analytical techniques. Upwork connects you with top talent around the world, or near you. I am a linguist specializing in phonetics/phonology, sociolinguistics, dialectology, contact varieties (particularly English and Spanish) and pedagogy. Interview and hire. For over twenty years, Upwork has been connecting professionals and agencies to businesses seeking specialized talent. What is natural language processing? - SEO oriented... Chatbot Developer & NLP Engineer building clever systems that understand human language. Natural Language Processing Jobs Browse 156 remote Natural Language Processing jobs with Upwork - the top freelancing website to find remote work. Experienced data scientist with over 4 years of experience in machine learning projects. I help your bot to understand the correct intent of the user and support you creating the required text, video and audio content to show up in the chatbox. Pattern is billed as a web-mining module, and includes several tools that NLTK doesn’t, like a web crawler, HTML parser, and a number of APIs for major web services. I performed experimental research on Bayesian deep learning for better uncertainty prediction. Security clearance level: Secret, status: inactive. Always willing to learn and teach. Historically, most software has only been able to respond to a fixed set of specific … While a bachelor's degree in computer engineering enables a deeper understanding, he prefers creativity and problem-solving techniques when approaching any given task. Image Processing... +10 years of German engineering and programing experience with sales & marketing focus enables me to create the most advanced chatbots for lead generation. Experienced with complete web development cycles from understanding clients business requirements to setting up clear goals, wireframing, prototyping, design and development to managing projects in a lean/agile approach. Upwork has the largest pool of proven, remote Natural Language Processing specialists. From my computational chemistry PhD, I have experience working with spatio-temporal and time-series data to make meaningful statements about how the world works. I have experience in web scraping, REST APIs and developing interactive visualizations and dashboards, and am proficient in utilizing cloud services from AWS or GCP such as EC2, EMR, S3, Compute Engine and BigQuery among others. Image segmentation - Healthcare Use Upwork to chat or video call, share files, and track project milestones from your desktop or mobile. Need someone to review your developer's work but not sure where to begin? Language Localization: Language localization is the process of adapting a product or document content to meet the language, culture, and other requirements of a specific local market. He has hands-on experience in many machine learning tools such as SKlearn, TensorFlow, and Pytorch in addition to a variety of Python libraries including Pandas, Numpy, and Nltk. big and solve problems. It’s also the technology that powers the automated call centers we often reach when calling customer service. Thanks for the A2A Habtamu! Here are a few of the more advanced applications of NLP, and how organizations are using them. Zukünftig wird Natural Language Processing eine noch wichtigere Rolle für die Schnittstelle zwischen Mensch und Computer einnehmen. 2 spot, due to record sales during the holiday season. Active participant on Kaggle, a google backed platform for data science competitions, rated within Top 1% data scientists globally. In reality, though, processing language and turning it into meaningful information is an extremely complex and difficult task. I'm very familiar with core machine learning - regressions, clustering, classification, decision trees, and more. #Rasa #DialogFlow #ManyChat Tap into the world’s largest remote talent network. They manage to do this thanks to Natural Language Processing, or NLP. But how do you do that? These are just a few of the ways organizations are using NLP to derive value from text. In this article, we’re going to explore what Natural Language Processing is, how it works, and how it’s being paired with Big Data to solve problems in a wide array of fields. The earliest efforts at teaching computers how to understand human language looked a lot like a language class: Scientists tried to teach computers how language worked by explicitly teaching it the rules of grammar and syntax. Keen interest in the intersection of linguistics and voice user interfaces. Compare bids, reviews, and prior work. Organizations are just beginning to understand the enormous potential value stored in all the text we generate on a daily basis, in the form of emails, text messages, social media posts, search queries, medical and legal records, and more. Natural Language Processing in the field of artificial intelligence concerned with the interactions between computers and human natural languages. While many NLP tasks may not require the same kind of real-time streaming analytics as some other Big Data tasks, it does require facility working with large, unstructured datasets, whether in the form of text pulled from webpages, Facebook posts, search queries, text messages, or more. The earliest efforts at teaching computers how to understand human language looked a lot like a language class: Scientists tried to teach computers how language worked by explicitly teaching it the rules of grammar and syntax. Holder of Google Cloud Certified Professional Cloud Architect and Data Engineer. I have worked as a deep learning researcher at Fraunhofer institute, Germany in the field of self-driving vehicles. In the case of NLP, using a real-world data set lets the computer and machine learning expert create algorithms that better capture how language is actually used in the real world, rather than on how the rules of syntax and grammar say it should be used. Tell us what you need. * proficient in applying the right tool to solve analytics problems, e.g. I can gather and process big data to find solutions for complex industry problems in banking, e-commerce, health, A.I, cyber security and electronic trading. It’s simple to post your job and we’ll quickly match you with the top Natural Language Processing Specialists near Granada for your Natural Language Processing project. - React, Angular, Next.js, Express, Gatsby.js, Styled components I am an accomplished Machine Learning, Data Scientist, Data Analytics & Data Visualisation expert having a wide range of industry experience in the biggest organisations around the world. Developed the HALogen natural language generation system in the... Data science / Machine learning: Please refer "Machine learning specialized profile" for specific project details and know-how. Understanding language is one of those areas. Natural Language Processing (NLP) ist ein Prozess zur automatischen Analyse und Darstellung der menschlichen Sprache. Experienced Python developer (also proficient in Typescript, R, SQL) with a data science background, experienced in building batch and streaming data pipelines, infrastructures, and bringing machine learning models to production. Check out some of our top rated Natural Language Processing specialists below. I'm proficient in Python, Go, C++, SQL, noSQL with MongoDB or Hadoop, R and JavaScript, and have an Advanced level certification using the Alteryx business intelligence platform and am a certified Alteryx Partner. In 2016, natural language processing featured as the hottest skill in the global jobs market on Upwork. • Consultation. This is the technology that allows Google to automatically translate pages from French or Urdu or Mandarin into English. This human-computer interaction enables real-world applications like a… Have extensively worked on projects using deep learning algorithms, linear algorithms, decision tree based algorithms including the latest algorithms like CNN with Attention mechanism, U-net based segmentation, RCNN ,lightGBM, xgboost, catboost etc. Natural Language Processing (NLP) In my largest ETL project, I implemented a a data management system and performed ETL on a research dataset of half a million elements. I have expertise in Python, R and C# programming. Stanford CoreNLP is a Java-based suite of tools that provides similar functionality to NLTK. The key to Natural Language Processing is taking data as complex and context-dependent as human language and translating it into the kind of structure that a computer can understand and act upon. Hire the best freelance Natural Language Processing Specialists in Finland on Upwork™, the world’s top freelancing website. Interview favorites and hire the best fit. NLP is used to analyze text, allowing machines to understand how human’s speak. I also worked in Silicon Valley, USA as a deep learning-computer vision engineer for an autonomous driving startup. — R&D for other complex data processing tasks and solutions. Compare bids, reviews, and prior work. Thanks in large part to systems like Hadoop and Spark, we now have the ability to quickly process huge troves of unstructured data that in the past would have just been left sitting in boxes and warehouses. Before we look at NLP’s more advanced applications, it’s worth noting that there are a number of open-source libraries that support both basic and more advanced NLP tasks. Clients rate Natural Language Processing specialists, Atlanta, GA Natural Language Processing Specialists, Austin, TX Natural Language Processing Specialists, Boston, MA Natural Language Processing Specialists, Chicago, IL Natural Language Processing Specialists, Denver, CO Natural Language Processing Specialists, Houston, TX Natural Language Processing Specialists, Los Angeles, CA Natural Language Processing Specialists, New York, NY Natural Language Processing Specialists, San Francisco, CA Natural Language Processing Specialists, Seattle, WA Natural Language Processing Specialists, Washington, DC Natural Language Processing Specialists. Financial forecasting and automating ML based trading strategies And have quite experience with: Talented and accomplished data scientist with a consistent record of pulling golden needles from fields of haystacks. My specialities in NLP include BERT, extractive summarization, topic modeling, named entity recognition, sentence ranking, categorization and clustering, sentiment analysis, hierarchical clustering, transfer learning, document ranking, information retrieval and data mining. By leveraging NLP, many organizations are able to create new value and improve efficiency. - Docker, Kubernetes and serverless systems Sequence Modeling Helped develop a system to extract named entities such as corporate officers or jobs available from company websites. Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can. To do this, we’d start with a training set of real Facebook posts. Excellent verbal and written communication, passionate about making meaningful connections. Legal Translation Whether it’s Alexa, Siri, Google Assistant, Bixby, or Cortana, everyone with a smartphone or smart speaker has a voice-activated assistantnowadays. Stanford CoreNLP is a Java-based suite of tools that provides similar functionality to NLTK. Without consciously thinking about it, we correct grammar mistakes, resolve ambiguities, and infer meaning that isn’t explicitly stated. , many organizations are using them a few of the holy grails computer... And JavaScript frameworks ( React + Redux ) we might say that a usually... Specialized talent your natural Language Processing jobs in Davison, MI Browse 3 Language. Of industrial experience and currently pursuing PhD at Indian institute at science non-technical need. Is likely to be found in a book of baby names Mechatronics engineering India..., Looking to hire for long-term or full-time assignments worked in Silicon Valley, USA as a Deep vision... 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How to program computers to devise more sophisticated—and more accurate—models than would be possible solely using a set!, FL Browse 1 natural Language Processing jobs with Upwork - the top website..., we’d test our computer’s model here are a few of the grails! Website to find remote work isn ’ t even have to make easy... And bring change to an organization or better yet, world Architect and data engineer zur automatischen und... Past 5 years, i have also worked on NLP problems, building tools provides...

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