• Machine Learning & Deep Learning Bootcamp: Building Recommender System

    What will you learn? What are recommendation engines? How does a recommendation engine work? Data collection and Data storage? Filtering the data? Content-based filtering and Collaborative filtering The case study in Python using the public dataset Building a collaborative filtering model from scratch Building Simple popularity and collaborative filtering model Building a recommendation engine, and evaluation metrics for recommendation engines Module 1: Evaluating Recommender Systems Module 2: A Recommender Engine Framework Module 3: Content-Based Filtering Module 4: Neighbourhood-Based Collaborative Filtering Module 5: Matrix Factorization Methods Module 6: Introduction to Deep Learning Module 7: Deep Learning For Recommender Systems and scaling up 09:30 – 10:00 Registration 10:00 – 13:00 Machine Learning on Recommender System 13:00 – 14:00 Lunch 14:00 – 18:00 Deep Learning on Recommender System 18:00 – 18:30 Questions Time We will send out the class materials as well as required library 2 weeks before the class, please follow the instruction and get the environment ready before coming to class. - Data scientist who wants robust or learn more different applications Analyst: Companies who would like to offer re-education to their analytics team to their data science team or just upgrade yourself from analyst to data scientist. - Developer, who wants to know more about the algorithm or even think about switching to be the data scientist - Business Intelligence (BI): You are already familiar with statistics, want to understand better machine learning and prediction A bit of knowledge of Python or machine learning will help you but it is not required. Have some familiarity with basic programming concepts or languages or statistics. Therefore, experience in Python or Machine Learning is not required but will help. During the problem-solving sessions, we will solve on the blackboard any kind of problem the audience poses. In a previous workshop, for example, one of the problems was “How can we use Twitter data to predict Bitcoin prices?”. The solution included the full pipeline (from data collection to data storage), to actually solving the problem and hiring the right people. Feel free to contact me with your problems before the workshop date. “Stylianos brings great enthusiasm to his workshop – his interest in all things AI shines through.” – Tim Gordon, Chief Executive at the Liberal Democrats “Stylianos’s bespoke workshop allows for in-depth complicated analytical concepts to be understood in a manageable and easy way. Coving the background of the constant changing world of data science and breaking down the key concepts of data science.” – Dominik Byrne, Investor, Entrepreneur, Advisor You can find more testimonials here: http://tesseract.academy/ ¹ Dr. Stylianos Kampakis is an expert data scientist (with a decade of experience), member of the Royal Statistical Society, an honorary research fellow at the UCL Centre for Blockchain Technologies and startup consultant living and working in London. A natural polymath, with degrees in Psychology, Artificial Intelligence, Statistics, Economics and a PhD in Computer Science from University College London he loves using his broad skillset to solve difficult problems. You can learn more about his work at skampakis.com.

  • A.I and Data Science Bootcamp for Company Decision Maker (free consultation)

    Data Science and A.I Bootcamp For Business Executive and Decision Maker We partner with Dr. Stylianos Kampakis designed this workshop to help you out with all this. “Stylianos brings great enthusiasm to his workshop – his interest in all things AI shines through.” - Tim Gordon, Chief Executive at the Liberal Democrats "Stylianos’s bespoke workshop allows for in-depth complicated analytical concepts to be understood in a manageable and easy way. Coving the background of the constant changing world of data science and breaking down the key concepts of data science." - Dominik Byrne, Investor, Entrepreneur, Advisor Have you ever felt confused by terms such as "data science" and "big data"? What is really the difference between AI and machine learning? How can you hire a good data scientist and how do you build a data-driven organisation? Have you ever thought you'd like to use data-science, but you don't know where to start? The Tesseract Academyand Dr. Stylianos Kampakis designed this workshop to help you out. This event is geared towards all non-technical decision makers (CEOs, managers, heads of divisions, startup founders, etc.) who want to learn what data science is, and how it can be used within their company. The purpose of the workshop is to be both educational and consultational. The workshop includes problem solving sessions, where the audience can pose any kind of problem, and the solutions will be discussed from all points of view: research design, actual solution or hiring. No question will be left unanswered! There are 5 sessions: 1) Intro to data science and AI: A historical overview and a demystification of jargon 2) Managing data: All the things that go wrong in data collection and management and how to fix them 3) Thinking like a data scientist (without being one): Understand how data scientists solve problems, and under what circumstances and how you can use data science within an organisation. 4) Hiring and managing data scientists: In this session we get into the mind of a data scientist, discuss about the data science tribes, and understand how to hire and manage. 5) Building a data-centric culture: Data science does not stand in a vacuum. It interacts with all parts of a business. This session helps you understand how to best put all the pieces together, in order to maximise performance of your data scientists. What are the problem-solving sessions about? During the problem-solving sessions, we will solve on the blackboard any kind of problem the audience poses. In a previous workshop, for example, one of the problems was “How can we use Twitter data to predict Bitcoin prices?”. The solution included the full pipeline (from data collection to data storage), to actually solving the problem and hiring the right people. ¹ Dr. Stylianos Kampakis is an expert data scientist (with a decade of experience), member of the Royal Statistical Society, an honorary research fellow at the UCL Centre for Blockchain Technologies and startup consultant living and working in London. A natural polymath, with degrees in Psychology, Artificial Intelligence, Statistics, Economics and a PhD in Computer Science from University College London he loves using his broad skillset to solve difficult problems. You can learn more about his work at skampakis.com.

  • Machine Learning Bootcamp- Learn Predictive Analysis on Python- For Beginner

    Machine Learning For Developers and Analysts- Predictive Analysis Instructed by Dr. Stylianos Kampakis The purpose of this course is to teach how to use Python and machine learning in order to predict sports outcomes. It takes you through all the steps, from collecting data using a web crawler to making profitable bets based on your predicted results. “Stylianos brings great enthusiasm to his workshop – his interest in all things AI shines through.” – Tim Gordon, Chief Executive at the Liberal Democrats “Stylianos’s bespoke workshop allows for in-depth complicated analytical concepts to be understood in a manageable and easy way. Coving the background of the constant changing world of data science and breaking down the key concepts of data science.” – Dominik Byrne, Investor, Entrepreneur, Advisor Intro to Python and Pandas. Instructions on how to build a crawler in Python for the purpose of getting stats. Data wrangling. Using machine learning for predictions. What am I going to get from this course? 1) Design and code a machine learning pipeline in Python for predicting outcomes. 2) Build and use a web crawler in Python to extract the data from online sources. 3) Understand all the concepts and pitfalls of prediction analysis Curriculum: Module 1: Introduction Module 2: Python and Pandas primer Module 3: Data Crawling Module 4: Model testing and metrics Module 5: Data analysis Agenda : 09:30 – 10:00 Registration 10:00 – 12:30 Masterclass 12:30 - 14:00 Lunch 14:00 – 17:30 Masterclass 17:30 – 18:00 Drinks and Networking We will send out the class materials as well as required library 2 weeks before the class, please follow the instruction and get the environment ready before coming to class. Who should attend? Companies which are trying to utilize prediction analysis and prediction model on their products and marketing/sales funnels. Analyst: Companies who would like to offer re-education to their analytics team to their data science team or just upgrade yourself from analyst to data scientist. The developer and software engineer: who wants to know more about the algorithm or even think about switching to be the data scientist Business Intelligence (BI): You are already familiar with statistics, want to understand better machine learning and prediction Prerequisites and Target Audience? What will participants need to know or do before starting this course? This course is ideal for the analyst, junior data scientist, and BI also developer. A bit of knowledge of Python or machine learning will help you but it is not required. Have some familiarity with basic programming concepts or languages or statistics. Therefore, experience in Python or Machine Learning is not required but will help. If you are not sure about your level, write us. The seats are limited to 12 people. ¹ Dr. Stylianos Kampakis is an expert data scientist (with a decade of experience), member of the Royal Statistical Society, an honorary research fellow at the UCL Centre for Blockchain Technologies and startup consultant living and working in London. A natural polymath, with degrees in Psychology, Artificial Intelligence, Statistics, Economics and a PhD in Computer Science from University College London he loves using his broad skillset to solve difficult problems. You can learn more about his work at skampakis.com.

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  • Time Series Anomaly Detection with LSTM by Chief Data Scientist at IBM

    Our favorite trainer- Romeo Kienzler is back in town if you want to have the same quality in-person course with the trainer from Coursera. This is your best shot. You will be able to easily access Coursera courses after our Bootcamp. Introduction to Anomaly Detection How to implement an anomaly detector (1/2) How to implement an anomaly detector (2/2) How to deploy a real-time anomaly detector Introduction to Time Series Forecasting Instructed by Romeo Kienzler, Chief Data Scientist at IBM Romeo Kienzler works as Chief Data Scientist in the IBM Watson IoT World Wide team helping clients to apply advanced machine learning at scale on their IoT sensor data. His current research focus is on scalable machine learning on Apache Spark. He is a contributor to various open source projects and works as associate professor of artificial intelligence at a Swiss university. Romeo Kienzler is a member of the IBM Technical Expert Council and the IBM Academy of Technology – IBM’s leading brain trusts. #ibmaot This is an intermediate to an advanced session. You need to have some programming skills. Linear Algebra fundamentals is a plus. Knowledge of the Apache Spark Dataframe API is also a plus. The developer, who already know Python and think about switching to be data scientists Data scientist, who wants to improve or learn more projects outside of work? Data analyst, analyze data cannot satisfy you anymore, you want to learn how to write a magical algorithm? 12:00 – 12:30 Registration 12:30 – 12:40 Introduction By Beyond Machine 13:00 – 15:00 Masterclass: Anomaly Detection 15:00 – 15:30 Break 15:30 – 17:00 Masterclass: ” Advanced Time Series Forecasting with LSTM DeepLearning Neural Networks 17:00 – 19:00 Networking Time

  • Data Driven Product Management Bootcamp For Product Decision Maker

    Factory Berlin, Görlitzer Park Campus

    €296.31

    DO YOU WANT TO BUILD PRODUCTS THAT MAKE A REAL IMPACT? The data-driven product Bootcamp by Taner Akcok¹ will help product managers and other product practitioners level up their decision-making skills. Expect to work through collaborative exercises alongside other smart, creative product leaders who want to enhance their skills at both identifying the right products and features to build and building the support to do so. Data-Driven Product Management Bootcamp includes 10 Learning Modules, find the outline in below: Module 1: Industry 4.0 and Innovation Management History of Industry Revolution Introduction to Industry 4.0 Innovation Management in Industry 4.0 Product Management in Industry 4.0 Module 2: Innovation Management in Product Management Starting with WHY by Simon Sinek Introduction to Data-Driven Product Management Framework Data-Driven Product Management Framework for Innovators Module 3: Data-Driven Product Management Framework | Marketing Research Introduction to Marketing Research How to Read Market Research Marketing Research Methodologies Internal / External Factors Quantitive Analyses How to Use Marketing Researchers in Product Management Module 4: Data-Driven Product Management | Competitor Market Intelligence Introduction to Competitor Market Intelligence Value Proposition Comparison Feature Set Comparison Product / Market Positioning Strategy Module 5: Data-Driven Product Management | Internal Feedback Evaluation The function of Pre-Sales in Product Management The function of Sales in Product Management The function of Consulting in Product Management The function of Customer Services in Product Management The function of IT in Product Management Business Value Calculation Module 6: Data-Driven Product Management | Digital Analytics Introduction to Digital Analytics and Data Centralization Reading/Understanding Different Type of Analyses Customer Lifecycle Monitoring Introduction to Product SaaS Marketing Funnels Digital Analytics in Product Management Module 7: Data-Driven Product Management | Customer Feedback And more to visit our website: www.beyond-machine.com WHO SHOULD ATTEND THIS BOOTCAMP? The workshop is ideal for startup founders, product leaders, marketing leaders, product managers, product designers, product marketers, user experience designers, user researchers, engineering leaders, data analysts, and other product practitioners looking to level up their skills at product strategy and design or driving internal change. Whether you just got started in a new job, got a new assignment from your boss, or have been developing a sense that your existing product needs a change in investment or direction, this workshop for product leaders will equip you with tools and techniques you can use to build agreement as you build out your product strategy and roadmap. You will discover which tools to use and learn the techniques to become a data-driven manager. If you’re excited to tackle problems such as these within top product teams. P.S The price here is 249 Euro with (VAT: 47.31 Euro) You can register the seat here with membership price. The price will increase on the first of June.

  • Machine Learning Bootcamp: 2 days full hands-on Pytorch & Deep Learning

    APPLY ON OUR WEBSITE https://beyond-machine.com/product/deep-learning-bootcamp-2-days-full-hands-on-workshops-on-pytorch-reinforcement-learning/ USE CODE MTP10 FOR EXCLUSIVE 10% OFF Masterclass: Deep Learning with Pytorch Instructed by Dr. Kashif Rasul¹. The aim of this course is to teach the fundamentals of deep learning from Convolutional Neural Networks (CNNs) to Recurrent Neural Networks (RNNs), highlighting modern methodologies and techniques using the PyTorch API. By the end of the workshop participants should be able to train/validate and compare a range of image recognition and text analysis models using state of the art methods in deep learning. After the course, you should be able to read and understand PyTorch code examples or tutorials and try out this framework in your own time. We will cover the following topics: Tensor Library (numpy bridge) PyTorch Autograd Defining Neural Networks Optimization Dataset loaders and transformations Optimal workflows Debugging Transfer learning with pre-trained models Day 1: 10:00 – 10:30 Registration 10:30 – 12:30 Masterclass 12:30 – 14:00 Lunch 14:00 – 17:00 Masterclass 17:00 – 18:00 Guest Talk Day 2: 10:00 – 15:00 Work on YOUR PROJECT with what you have learned 15:00 – 16:00 Presentations & Showcase 16:00 – 18:00 Drinks & Networking & Music We will send out the class materials as well as required library 3 weeks before the class, please follow the instruction and get the environment ready before coming to class. Who should attend? Companies who would like to offer re-education to their data team or to upgrade their BI to be data science team Developer, who wants to know more about the algorithm or even think about switching to be the data scientist Data scientist, who wants to improve or learn more projects outside of work Business Intelligence: You are already familiar with statistics, want to understand better deep learning Tech team lead or data team lead wants to know better about data science and machine learning Others, who want to start your own startup with machine learning technology and work on their project Pytorch is becoming popular framework recently, it is more efficient than Tensorflow and Keras. If you already know TF and Keras and wanna know one more framework, it is the chance. If you just start to learn ML/DL, starting with Pytorch might be harder but better. ¹ Head researcher at Zalando Research where he is working in the area of reinforcement learning, deep learning, and high-performance computing. Kashif has a PhD. in Mathematics from the Freie Universität Berlin and has worked as a co-founder in several companies. He has presented at numerous conferences, meetups and workshops including at NVIDIA’s GTC in 2009 and 2017, PyData, and others both in Germany and overseas. He also contributes to open source projects in the area of GPU computing and deep learning on github: github.com/kashif. Prior to finishing his PhD. he worked at the Max Planck Institute in Golm, Germany and at Visage Imaging in Berlin as a software developer. APPLY ON OUR WEBSITE https://beyond-machine.com/product/deep-learning-bootcamp-2-days-full-hands-on-workshops-on-pytorch-reinforcement-learning/ USE CODE MTP10 FOR EXCLUSIVE 10% OFF

  • Deep Learning Bootcamp -Beyond Machine: Computer Vision, NLP, Series Forecasting

    THIS IS FOR RSVP ONLY!!! PLEASE BUY TICKETS ON EVENTBRITE :-) (https://www.eventbrite.com/e/machine-learning-and-data-science-bootcamp-presented-by-mie-tickets-37341892606) Beyond Machine welcomes you to Berlin's best Deep Learning and Machine Learning bootcamp: a full day, jam packed with mid to high level workshops on the hottest practices in data science. Masterclass 1: Advanced Time Series Forecasting with LSTM DeepLearning Neural Networks.Instructed by Romeo Kienzler, Chief Data Scientist at IBM Use state-of-the-art DeepLearning libraries and LSTM to predict future data from the past based on crypto-currency stock exchange data Understand how deep learning LSTM auto encoders work; Understand how to use a parallel linear algebra framework like Apache SystemML in order to build neural networks on top of Apache Spark; Understand how to deploy such a system on the Cloud using IBM Bluemix, IBM Watson IoT Platform and IBM Data Science Experience. This is an intermediate to advanced session. You need to have some programming skills. Linear Algebra fundamentals is a plus. Knowledge of the Apache Spark Dataframe API is also a plus. Masterclass 2: Computer Vision - The state of art methods of Image Segmentation, the obstacle and applied cases,Instructed by Jan-Matthis Lueckmann Provide an overview of recent approaches to dense image segmentation Hands-on exercises to implement a segmentation network in TensorFlow Solve a segmentation task and discuss practical considerations Who should attend? Developer, who wants to know more about algorithm or even think about switching to be data scientis Data scientist, who wants to improve or learn more projects outside of work? Data analyst, analyze data cannot satisfy you anymore, you want to learn how to write a magical algorithm? Tech team lead or data team lead wants to know better about data science and machine learning Others, who want to start your own startup with machine learning technology? 09:00 – 09:45 Registration & Breakfast 09:45 – 12:45 Masterclass 1: Advanced Time Series Forecasting with LSTM DeepLearning Neural Networks 12:45 – 13:45 Lunch offered by Beyond Machine 13:45 – 15:45 Masterclass 2: Image Segmentation: The state of art method of Image segmentation, the obstacle and applied cases 15:45 – 16:15 Break&Networking 16:15 – 16:45 Masterclass 2: Image Segmentation: The state of art method of Image segmentation, the obstacle and applied cases 16:45 – 17:05 Sponsor Talk: Head of Data Science @OLX 17:05 – 17:45 Workshop 17.45- 20.00 Drinks & networking Are there ID or minimum age requirements to enter the event? ID and your business card What are my transportation/parking options for getting to and from the event? Better use public transportation, it is just next to the Hauptbahnhof What can I bring into the event? Laptop, charger, determination, and your brain (We will take care the rest)

  • MIE Summit Berlin 2017: MIE presents "Can machine (AI) outperform human?"

    MIE Summit Berlin 2017 PLEASE SECURE YOUR TICKET ON EVENTBRITE (https://www.eventbrite.com/e/mie-summit-berlin-2017-can-machineaioutperform-human-tickets-33207267832) On the 20th of June, join MIE Summit Berlin 2017, the World’s first open-space machine intelligence Summit. This event will give you the opportunity to learn, discuss and network in both an art gallery and a Biergarten (beer garden) in the most vibrant area of Berlin. Here are the topics that will make this event one of the most inspiring, entertaining and thought-provoking there is on the topic: What exactly does AI mean for all industries, from medicine to cars, from cognitive to neural networks? Can machines really outperform the human? What if AI systems become better than humans at all cognitive tasks? Should you worry your job is going to be replaced by robots? If yes, what can you do about it? Are you curious to know how machine learning algorithm can predict terrorist attacks? You work on innovation and are eager to find out how AI could apply to your business? How can we benefit from the great advancements brought about by AI while taking into account ethical and economical considerations? Is investing in AI startups a good idea? What’s behind the hype? On the 20th of June, immerse yourself in a one-day packed Summit with talks from AI trailblazers, machine learning experts, forward-thinking executives, and product and engineering innovators to learn how AI is being applied to real business problems. and some of the most promising AI startups in Europe. Attendees: Angel investors, VC, Early stage startups, Data scientists, Executives director from corporates The 2017 Summit agenda will provide you with two in-depth event tracks (keynotes, workshops, and panels) as well as over 20 leading speakers and unparalleled networking opportunities. Attendees will have access to visionary speakers and case-study content about the present and future impact of AI on organizations, as well as on daily life. It will also feature concrete tools and methods to prepare, organize, and tap into AI’s transformative power. For early-stage startups we also offer chance to pitch and showcase your idea and products. Please secure your startup ticket! If you have further question, get in touch with us! It’s time to learn how your project or business can benefit from AI and ML. Register now to reserve your spot, we'd love to see you there! Find out more on the Summit website (http://www.miesummit.com)

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  • Machine Intelligence Exchange- Startups Pitch Night

    TechCode Berlin Innovation Center

    The winners will be offered 3 MONTHS FREE co-working spaces in Silicon Valley, Berlin and Tel Aviv. Our first event will be kicked-off with Techcode Innovation Center Berlin. The program will co-host with Techcode and Startup Safary. The aim is to promote the first AI-focus accelerator with Techcode Silicon Valley and Techcode Tel Aviv. We will select 5 startups (Artificial Intelligence, Machine Learning) to pitch on the stage, audiences can vote the best two startups. Join us for Berlin's curated exchange for startup founders working in the field of machine intelligence! Learn from peers, founders, and renowned guests and meet the best angel and VC investors in the global fields of artificial intelligence, visual recognition and deep learning. MIE is a summit with learning and networking at its core. 18.00- 18.30 Sign up 18.40- 19.00 Speaker Gene Kogan (https://twitter.com/i/redirect?url=https%3A%2F%2Ftwitter.com%2Fdirect_messages%2Fcreate%2Fgenekogan%3Fuser_id%3D51757957%26cn%3DbWVzc2FnZQ%253D%253D&t=1&cn=bWVzc2FnZQ%3D%3D&sig=53f64e4fc4259efb961767933bc55c5f71ecdacb&iid=f92d7a93-b2f4-42dc-9e2d-e8cd5a020d22&uid=2446541725&nid=22+398), Topic: how to use Machine learning on arts, artist, and activists and citizen scientists. 19.00- 19.30 Startup battle (Jury: PointNine Capital, (http://www.pointninecap.com/) AsPnP (http://www.axelspringerplugandplay.com/)) 19.30- 19.50 Voting time (Jury)+ Networking 19.50- 20.00 Award 20.00- 21.00 Networking Jury 1: Louis Coppey Louis recently joined Point Nine as a new Associate, after having worked for Alven Capital,Paris based VC firm. a ML passionate e my engineering studies at Telecom Paristech in Paris, and spent the last year in the US completing my studies with a Master in Management at MIT." Jury 2: Andy Toth Andy is the Investment Director at Plug and Play Germany managing the startup sourcing, selection process and investments. Prior to coming to Germany Andy had spent 3 years in Silicon Valley focusing on seed to series A investments at Plug and Play Ventures. While there he also co-founded Plug and Play's Internet of Things Innovation Platform which has accelerated 80+ startups and counts 40+ corporate partners. The application is now closed, but if you are an AI/ML startup, we are still welcome you to apply for AI+ Accelerator (http://us.techcode.com/techcode-ai-plus/) Please sign up also on Eventbrite page (https://www.eventbrite.de/edit?eid=28389707379)! Spots are limited and we will accept candidates on a first served and review basis. Open bar and high-level speeches are guaranteed. About the AI Accelerator Program: http://us.techcode.com/techcode-ai-plus/ Who should apply: Startups should be solving problems and building products related to AI. We define AI+ as the application of artificial intelligence technologies: voice recognition, machine learning, natural language processing, computer vision, gesture control, etc. to all the different industry verticals, e.g. robotics, virtual reality/augmented reality, smart home, IoT, medical device, wearables, etc. Startups are encouraged to apply if they are early-stage with a prototype and some traction. Why should you apply: There are three types of capital: financial, human and intellectual. TechCode invests in all three and helps startups build their product, streamline their supply chain, find and hire the right talent, syndicate and close financing rounds, strengthen their IP portfolio and gain access to a global distribution channel. Ten of the fifty startups that are accepted to the W2016 AI+ Accelerator will receive a financial capital investment of at least $50,000 USD (in their local currency where applicable) from our AI+ Accelerator Fund and have the opportunity to receive more financial capital from our larger venture fund. This program is the first global accelerator program of its kind.

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