• Introduction to Data Science (6 weeks- 60 hours)

    Mindrome Coworking Space & Private Office

    $2,500.00

    This is a great opportunity to start a data science career. We are offering a boot camp to prepare you a data scientist position. The course will teach you Python and Apache Spark Basics, Research Design and Explanatory Analysis, Projects and Machine Learning. During our course, you will explore a hands-on experience that will ignite your enthusiasm and confidence to learn data science. Visit our website to learn detailed information about this boot camp. https://magnimindacademy.com/all-courses/data-science/ Fee: $2500 Schedule: (May 18 - June 27) Tuesday 6:30 pm – 9:30 pm Lecture Thursday 6:30 pm – 9:30 pm Office Hours Saturday 9:00 am – 1:00 pm Lecture All successful participants who attended more than 80% of the course will be granted a course graduation certificate and become Magnimind alumni. What You’ll Learn in these 60 hours? 1. Python and Apache Spark Basics 2. Research Design and Explanatory Analysis 3. Machine Learning-I 4. Machine Learning-II 5. Machine Learning -III 6. Projects Application: We have 15 people attendee limit for this boot camp. You can apply through here, or, use our website to apply: https://magnimindacademy.com/all-courses/data-science/

  • ABOUT MAGNIMIND ACADEMY 6 Weeks - Introduction to Data Science Bootcamp

    Mindrome Coworking Space & Private Office

    In this meetup, Magnimind Academy Instructors will talk about Magnimind - 6 weeks long Introduction to Data Science Bootcamp. Anyone who has questions and concerns about the program can come and learn the answers from professionals. Our Data Science Bootcamp is a great chance to start or shift to a data science career and learn machine learning. People with an engineer and scientist job who would like a shift to data science career and have better-paying jobs can significantly benefit from this program. The requirement for the boot camp is to have some programming and good math/stats background. Our rate is promotional and won't be able to stay in this range in our future boot camps. This meetup is also for people who want to jump-start a career in data science and not sure about where to start. You can also ask about the pathway that you choose to learn data science and take their consultancy. Agenda: 7:00 pm - 7:10 pm Arrival and mingling 7:10 pm - 7:20 pm Opening words by Murat Baday, CEO of Magnimind Academy 7:20 pm - 7:40 pm Magnimind Academy Instructor, Santa Clara University Professor - Yasin Ceran 7:40 pm - 8:00 pm Magnimind Academy Instructor, Ultimate Software Senior Big Data Engineer Mudasser Shaik will be followed by more Q&A About Speakers: Murat Baday: Dr. Baday is the co-founder of Magnimind Academy. He is passionate about everything related to data science, education, and entrepreneurship. He received a biophysics PhD from the University of Illinois and continued his studies at Stanford Univ as a Postdoc. He has published several papers and patents and he is the co-founder of several biotechs and AI startups. Yasin Ceran: He is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. Since 2013, he has been working at Santa Clara University as an assistant professor in the Information Systems and Analytics department (earlier Operations Management and Information Systems department), teaching applied machine learning, software platforms, and computer networks. Mudasser Shaik: He is a highly motivated Senior BigData / DataScience Engineer in industry. He has been sharing his passion for Data for nearly a decade now. He is passionate about Distributed Machine Learning and the intersection of Big Data & Data Science (AI/ML/DL). He possesses extensive working experience in designing and building Distributed Pipelines, Streaming Analytics, Scalable Machine learning Models and solving Data Quality Issues.

  • A Sneak Peek into the World of DEEP LEARNING through a Real 0to1 Product Journey

    Mindrome Coworking Space & Private Office

    Abstract: So you have heard all the hype around how Machine Learning is going to change the world. You are wondering what does it take to build a machine learning product start to finish in a real-world setting? In this session, you will walk away with a high-level view into a real 0 - 1 product journey. The journey involves deep learning based ML product where we delivered value in record speed in-spite of not having a dataset when we started. You will see a real team in action and also learn what kind of challenges real product teams come across. You will get a sneak peek into how ML pipelines are built and ML services are architected within existing product lines. (You do not need to know deep data science or machine learning for this talk.) Agenda: 6:00 pm - 6:20 pm Arrival and mingling 6:20 pm - 6:30 pm Opening words by Murat Baday, CEO of Magnimind Academy, the Meetup sponsors. 6:30 pm - 7:20 pm Madhura Dudhgaonkar, A Sneak Peek into the World of DEEP LEARNING through a Real 0to1 Product Journey 7:20 pm - 7:30 pm Q&A About Madhura Dudhgaonkar: Madhura Dudhgaonkar is a Machine Learning leader at Workday passionate about modernizing the future of work in a responsible and ethical manner. She is part of the Workday ML organization, a pioneer in the Enterprise Machine Learning space, and has spent 5+ years building ML products leveraging Vision, Natural Language Processing, Recommendations, Anomaly Detection and more. Madhura’s career journey goes from being a hands-on engineer to leading large organizations across SUN Microsystems, Adobe and now Workday. Her background covers building consumer and enterprise products - latest of them involving multiple 0 to 1 product journeys leveraging Machine Learning. She is considered a thought leader in building ML products and is frequently invited to speak at AI conferences.

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  • Data Analytics with Python (2 days- 16 hours)

    Mindrome Coworking Space & Private Office

    $200.00

    This is a great opportunity to jump into a data science career. We are offering a boot camp to prepare you a data analyst position. This boot camp is for non-coders who are interested in learning data science or those who have a technical background although are not familiar with the fundamentals of data science. The course will teach you the fundamental skills of Python, SQL, Statistics and an introduction to machine learning. During our course, you will explore a hands-on experience that will ignite your enthusiasm and confidence to learn data analytics. Visit our website to learn detailed information about this boot camp. https://magnimindacademy.com/all-courses/data-science-prep/ Fee:200$ Schedule: Saturday, May 4, 2019 from 10:00 am – 6:00 pm Sunday, May 5, 2019 from 10:00 am – 6:00 pm What You’ll Learn in these 16 hours? 1- Python Explore fundamental data types such as strings, booleans, lists, and dictionaries. Learn how to create and organize your code into a clean and professional flow. Learn to analyze data and grow skills to become a data analyst. 2- SQL Discover how databases are structured, how to add and remove data from a database, and how to query a database, as well as, answer questions using aggregations and joins. 3- Probability and Statistics Model real data using common probability distributions and learn how to infer properties during the data generating process. 4- Data Visualization Most importantly, explore python libraries, tools, Pandas, Numpy, and Matplotlib. Application: We have 15 people attendee limit for this mini boot camp. You can apply through here, or, Via Eventbrite, https://www.eventbrite.com/e/data-science-prep-course-from-magnimind-academy-2-weeks-16-hours-tickets-58976630690 or, use our website to apply and pay. https://magnimindacademy.com/all-courses/data-science-prep/

  • Distributed Machine Learning with Apache Spark Workshop

    Mindrome Coworking Space & Private Office

    $10.00

    *Due to the high demand, we are repeating Mr. Mudasser Shaik's last week workshop. The content will be the same. We recommend last week's participants to join our other events. Magnimind Academy is offering Machine Learning with Spark Workshop at its Santa Clara Office. This one day workshop will help novice users and beginners to have a glimpse of Data World. The workshop will consist of 4 sessions; 1. Introduction to DS 2. Machine Learning Framework in DS 3. Application Project. Important: Personal Laptops are required. We will announce the details of registration, workshop content, and software needed to download before the Workshop starts from the group. Fee: $10 (cash or credit card at the door) Agenda: 6:00 pm - 6:30 pm Refreshments and networking 6:30 pm - 8:30 pm Distributed MachineLearning with Apache Spark Workshop 8:30 pm - 8:45 pm Q&A About the Instructor: Mr. Shaik is highly motivated Senior BigData / DataScience Engineer in industry. He has been sharing his passion for Data for nearly a decade now. He is passionate about Distributed Machine Learning and the intersection of Big Data & Data Science (AI/ML/DL). He possesses extensive working experience in designing and building Distributed Pipelines, Streaming Analytics, Scalable Machine learning Models and solving Data Quality Issues. He presently works as Senior Big Data Engineer at Ultimate Software, where he is responsible for developing, maintaining and evaluating Big data solutions for Data Science Teams.

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  • A Gentle Introduction to Machine Learning

    Mindrome Coworking Space & Private Office

    $10.00

    *Due to the high demand, we are repeating Mr. Yasin Ceran's last week workshop. The content will be the same. We recommend last week's participants to join our other events. Start learning the basics of Data Science with Python, R, Spark, and Statistics. This short course covers the fundamentals of data science and tells you about the path that you can follow while you are learning data science. For the ones that are interested in data science but do not know where to start, this daily lecture is for you. You will learn the common coding skills in Python, and acquire knowledge of its data structures, modules, functions, input/outputs, exceptions. Anyone who is related to data science or thinking to be a part of it can start learning data science with this introductory data science course. Come with your questions, leave with a sense of purpose and direction! Agenda: 6:00 pm - 6:30 pm Refreshments and networking 6:30 pm - 8:30 pm A Gentle Introduction to Machine Learning by Yasin Ceran 8:30 pm - 8:45 pm Q&A About the Instructor: Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. Since 2013, he has been working at Santa Clara University as an assistant professor in the Information Systems and Analytics department (earlier Operations Management and Information Systems department), teaching applied machine learning, software platforms, and computer networks. He holds extensive experience in working on various data intense business platforms. Some of the notable projects he contributed to include the development of a predictive inventory allocation algorithm for Blockbuster with regard to the relationship between sales and customer reviews. Later, he created a mathematical model to capture the decision-making process of online customers based on their collection of data from different sources on the Web. He also developed a probabilistic model to detect churning users for Stumbleupon.com. Yasin is the proposer of an algorithm that helps to reduce bias in electronic formats. His present role involves working on optical DNA sequencing based on actionable big data. Yasin has completed his Ph.D. in Management Information Systems from the University of Texas at Dallas. He earned his M.S. in Electrical Engineering with a concentration in Telecommunications from the same university and obtained his B.S. in Electrical Engineering from Osmangazi Üniversitesi. At Santa Clara University, he also supervised a large team of software development students working on the Capstone Project. During his 5+ years of working experience, Yasin has worked rigorously on an array of data related projects encompassing data mining, statistics, big data, data science, and data visualization, and is dedicated to sharing his experience and expertise with learners. Apart from data science, Yasin’s knowledge spectrum also expands to cybersecurity and he is an ardent follower of innovative processes and implementations of technologies to defend the world’s digital economies.

  • How to transition yourself to a data science career?

    Mindrome Coworking Space & Private Office

    During this talk, we'll cover the emergence of big data and what it means to be a data scientist. We'll walk you through how to get the skills to become a data scientist, and focus on the different jobs that will be open to you once you've mastered your new skill set. Agenda: 6:00 pm - 6:20 pm Arrival and mingling 6:20 pm - 6:30 pm Opening words by Murat Baday, CEO of Magnimind Academy, the Meetup sponsors. 6:30 pm - 7:20 pm Yasin Ceran, How to transition yourself to a data science career? 7:20 pm - 7:30 pm Q&A About Yasin Ceran: Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. Since 2013, he has been working at Santa Clara University as an assistant professor in the Information Systems and Analytics department (earlier Operations Management and Information Systems department), teaching applied machine learning, software platforms, and computer networks. He holds extensive experience in working on various data intense business platforms. Some of the notable projects he contributed to include the development of a predictive inventory allocation algorithm for Blockbuster with regard to the relationship between sales and customer reviews. Later, he created a mathematical model to capture the decision-making process of online customers based on their collection of data from different sources on the Web. He also developed a probabilistic model to detect churning users for Stumbleupon.com. Yasin is the proposer of an algorithm that helps to reduce bias in electronic formats. His present role involves working on optical DNA sequencing based on actionable big data. Yasin has completed his Ph.D. in Management Information Systems from the University of Texas at Dallas. He earned his M.S. in Electrical Engineering with a concentration in Telecommunications from the same university and obtained his B.S. in Electrical Engineering from Osmangazi Üniversitesi. At Santa Clara University, he also supervised a large team of software development students working on the Capstone Project. During his 5+ years of working experience, Yasin has worked rigorously on an array of data related projects encompassing data mining, statistics, big data, data science, and data visualization, and is dedicated to sharing his experience and expertise with learners. Apart from data science, Yasin’s knowledge spectrum also expands to cybersecurity and he is an ardent follower of innovative processes and implementations of technologies to defend the world’s digital economies.

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  • Introduction to Machine Learning with Feed-Forward Neural Networks

    Introduction to Machine Learning with Feed-Forward Neural Networks -Come join us to build a foundation in understanding how neural networks work, the math behind them and applicable use cases. -We will cover how a neural network approximates arbitrary functions, how a neural network produces output, how a neural network learns and how to derive the math behind forward and backward propagation. -It would be helpful to review your partial derivatives but is not necessary to gain a foundational understanding of neural networks. In this talk, Abraham Kang will draw on his broad experience to help you identify neural networks work and how to forge your own path. Come with your questions, leave with a sense of purpose and direction! Agenda: 6:30 pm - 7:00 pm Arrival and mingling 7:00 pm - 7:20 pm Opening words by Murat Baday, CEO of Magnimind Academy, the Meetup sponsors. 7:20 pm - 8:20 pm Abraham Kang, AI/ML Security Leader, Public Speaker, Motivator, Positive Catalyst and Mentor 8:20 pm - 9:00 pm Q&A MeetUp details: Abraham Kang is a professional public speaker and a security leader. He will talk about a neural network approximates arbitrary functions. Anyone who is related to data science or thinking to be a part of it, can come and join our friendly meetup. We have special refreshments, pizza, beverages and promotions for the attendees. About Abraham Kang: Abraham Kang is fascinated with the nuanced details associated with programming languages and their associated APIs. Kang has a B.S. from Cornell University. He currently works for Samsung as a Senior Director Software helping to drive security and development in Samsung. Prior to joining Samsung, he worked as Principal Security Researcher for HP in their Software Security Research group. Abraham is focused on AI/ML, application, framework, blockchain smart contracts, intelligent assistants, and mobile security and has presented his findings at Black Hat USA, DEFCON, OWASP AppSec USA, RSA, and BSIDES.

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  • Distributed Machine Learning with Apache Spark

    Mindrome Coworking Space & Private Office

    $10.00

    Magnimind Academy is offering Machine Learning with Spark Workshop at its Santa Clara Office. This one day workshop will help novice users and beginners to have a glimpse of Data World. The workshop will consist of 4 sessions; 1. Introduction to DS 2. Machine Learning Framework in DS 3. Application Project. Important: Personal Laptops are required. We will announce the details of registration, workshop content, and software needed to download before the Workshop starts from the group. Pizza and beverages will be served! Fee: $10 (cash or credit card at the door) Agenda: 5:00 pm - 5:15 pm Refreshments and networking 5:15 pm - 7:15 pm Distributed MachineLearning with Apache Spark Workshop 7:15 pm - 7:30 pm Q&A About the Instructor: Mr. Shaik is highly motivated Senior BigData / DataScience Engineer in industry. He has been sharing his passion for Data for nearly a decade now. He is passionate about Distributed Machine Learning and the intersection of Big Data & Data Science (AI/ML/DL). He possesses extensive working experience in designing and building Distributed Pipelines, Streaming Analytics, Scalable Machine learning Models and solving Data Quality Issues. He presently works as Senior Big Data Engineer at Ultimate Software, where he is responsible for developing, maintaining and evaluating Big data solutions for Data Science Teams.

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  • Fundamentals of Data Science Workshop

    Mindrome Coworking Space & Private Office

    $10.00

    Start learning the basics of Data Science with Python. This short course covers the fundamentals of data science and tells you about the path that you can follow while you are learning data science. For the ones that are interested in data science but do not know where to start, this daily lecture is for you. You will learn the common coding skills in Python, and acquire knowledge of its data structures, modules, functions, input/outputs, exceptions. We have pizza and beverages for the attendees. Agenda: 6:00 pm - 6:30 pm Refreshments and networking 6:30 pm - 8:30 pm Fundamentals of Data Science Workshop by Yasin Ceran 8:30 pm - 8:45 pm Q&A Fee: $10 (Cash or credit card at the door) About the Instructor: Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. Since 2013, he has been working at Santa Clara University as an assistant professor in the Information Systems and Analytics department (earlier Operations Management and Information Systems department), teaching applied machine learning, software platforms, and computer networks.

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