Course Syllabus & Notes


Python for Data Science and Machine Learning Bootcamp

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Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more! This comprehensive course by Jose Portilla will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy! You will learn how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python!


5 Free Resources for Getting Started with Self-driving Vehicles

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This KDnuggets post will get your feet wet in the world of autonomous vehicle algorithms, providing an introductory insight into what to expect if you travel down this road, pun intended. Recent years have witnessed amazing progress in AI related fields such as computer vision, machine learning and autonomous vehicles. The purpose of this project is to use Python to play Grand Theft Auto 5. Check out the accompanying code here: Explorations of Using Python to play Grand Theft Auto 5.


Google Cloud Platform Big Data and Machine Learning Fundamentals Coursera

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About this course: This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. At the end of this course, participants will be able to: • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform • Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform • Employ BigQuery and Cloud Datalab to carry out interactive data analysis • Choose between Cloud SQL, BigTable and Datastore • Train and use a neural network using TensorFlow • Choose between different data processing products on the Google Cloud Platform Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following: • A common query language such as SQL • Extract, transform, load activities • Data modeling • Machine learning and/or statistics • Programming in Python Google Account Notes: • You'll need a Google/Gmail account and a credit card or bank account to sign up for the Google Cloud Platform free trial (Google is currently blocked in China).


Algorithmic Learning Theory: 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008, Proceedings (Lecture Notes in Computer Science): Yoav Freund, László Györfi, György Turán, Thomas Zeugmann: 9783540879862: Amazon.com: Books

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This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008. The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as statistical learning; probability and stochastic processes; boosting and experts; active and query learning; and inductive inference.


Advanced Multimedia and Ubiquitous Engineering: Future Information Technology (Lecture Notes in Electrical Engineering): James J. (Jong Hyuk) Park, Han-Chieh Chao, Hamid Arabnia, Neil Y. Yen: 9783662474860: Amazon.com: Books

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His research interests include security and digital forensics, Human-centric ubiquitous computing, context awareness, multimedia services, etc. Dr. Chao has served as the guest editors for Mobile Networking and Applications (ACM MONET), IEEE JSAC, IEEE Communications Magazine, Computer Communications, IEE Proceedings Communications, the Computer Journal, Telecommunication Systems, Wireless Personal Communications, and Wireless Communications & Mobile Computing. Presented by FTRA (Future Technology Research Association), presented by Steering Committee of CSA-13 International Conference; Distinguished Research Award for his Outstanding Contributions to Adaptable Communication Systems, presented by ACM SIGAPP IMCOM Co-Chairs, 2014. Dr. Arabnia has delivered a number of keynote and plenary lectures at international conferences; most recently at: The 14th IEEE International Conference on Parallel and Distributed Systems (ICPADS'08, Australia); International Conference on Future Generation Communication and Networking (FGCN 2008 / IEEE CS, Sanya); The 10th IEEE International Conference on High Performance Computing and Communications (HPCC-08, Dalian); and 2014 ACM IMCOM International Conference.


7 Steps to Mastering Machine Learning With Python

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Since we will be using scientific computing and machine learning packages at some point, I suggest that you install Anaconda. This actually is a reflection of the field of machine learning, since much of what data scientists do involves using machine learning algorithms to varying degrees. Gaining an intimate understanding of machine learning algorithms is beyond the scope of this article, and generally requires substantial amounts of time investment in a more academic setting, or via intense self-study at the very least. For example, when you come across an exercise implementing a regression model below, read the appropriate regression section of Ng's notes and/or view Mitchell's regression videos at that time.


IBM Unveils 'Cognitive Builder Course' on IBM Cloud

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Developed by expert data scientists from Galvanize and cognitive developers from IBM, the Cognitive Builder Course is available across the globe, online to any developer interested in machine learning and artificial intelligence. HDFC Bank Limited, a leading private sector bank in India and Larsen & Toubro Infotech Limited, a global technology consulting and digital solutions company were first to partake in the IBM Cognitive Builder Course, in partnership with Galvanize, at the IBM India Software Labs. "This partnership delivers hands-on skills training to prepare the next-generation of developers and data scientists to better understand and innovate with AI and cognitive technology, directly impacting the way enterprises derive insight from data." The IBM Cognitive Course delivered on IBM Cloud in partnership with Galvanize helps in bridging the emerging skills gap by bringing together advanced cognitive and data skills curriculum for professionals.


Deep Learning: Artificial Neural Networks with Python How To Learn Online

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This online course is designed to teach you how to create deep learning Algorithms in Python by two expert Machine Learning & Data Science experts. That's what we mean when we say that in this course we teach you the most cutting edge Deep Learning models and techniques. Thanks to Keras we can create powerful and complex Deep Learning models with only a few lines of code. By applying your Deep Learning model the bank may significantly reduce customer churn.


Top Data Science Resources on the Internet right now

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The Andrew Ng course felt like black magic. You will learn about Python Libraries like Numpy,Pandas for data science, along with a thorough intuitive grinding for various Machine learning Algorithms.


machine-learning-online-courses-skills

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For those who are looking for something a little less costly, Udacity also offers a number of free machine learning courses ranging from 10 weeks to four months. Lynda from LinkedIn is a leading online learning platform that helps anyone learn a wide range of skills, including machine learning. To help grasp the basics of technology and data mining, Alison is a Galway-based e-learning platform offering a number of free online courses on software development, data science and machine learning. Udemy offers thousands of online courses with which to upskill, including a number of machine learning courses.