Instructional Material


Applied Statistical Modeling for Data Analysis in R

@machinelearnbot

I created this course to take you by hand and teach you all the concepts, and take your statistical modeling from basic to an advanced level for practical data analysis. Frankly, this is the only one course you need to complete in order to get a head start in practical statistical modeling for data analysis using R. My course has 9.5 hours of lectures and provides a robust foundation to carry out PRACTICAL, real-life statistical data analysis tasks in R, one of the most popular and FREE data analysis frameworks. This course is your sure-fire way of acquiring the knowledge and statistical data analysis skills that I acquired from the rigorous training I received at 2 of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One. To be more specific, here's what the course will do for you: The course will mostly focus on helping you implement different statistical analysis techniques on your data and interpret the results.


Java Data Science Solutions - Analyzing Data - Udemy

@machinelearnbot

This unique video provides modern solutions to solve your common and not-so-common data science-related problems. We start with solutions to help you obtain, clean, index and search data. Then you will learn a variety of techniques to analyze data. By the end of this course, you will be able to perform all advanced operations it takes to analyze the complexity of data and to perform indexing and search operations.


Data Science with Spark - Udemy

@machinelearnbot

Spark's unique use case is that it combines ETL, batch analytic, real-time stream analysis, machine learning, graph processing, and visualizations to allow Data Scientists to tackle the complexities that come with raw unstructured data sets. Spark embraces this approach and has the vision to make the transition from working on a single machine to working on a cluster, something that makes data science tasks a lot more agile. Then, you will get acquainted with Spark Machine learning algorithms and different machine learning techniques. His typical day includes building efficient processing with advanced machine learning algorithms, easy SQL, streaming and graph analytics.


R and Machine Learning Fundamentals - Udemy

@machinelearnbot

R is one of the most popular languages used for machine learning and arguably, the best entry point to the fascinating world of machine learning (ML). If you're interested to explore both the programming and machine learning world with R, then go for this course. This course is a blend of text, videos, code examples, assessments, case studies, and a mini project which together makes your learning journey all the more exciting and truly rewarding. Machine learning aims to uncover hidden patterns, unknown correlations, and find useful information from data.


Data Science: Deep Learning in Python - Udemy

#artificialintelligence

This course will get you started in building your FIRST artificial neural network using deep learning techniques. Following my previous course on logistic regression, we take this basic building block, and build full-on non-linear neural networks right out of the gate using Python and Numpy. You should take this course if you are interested in starting your journey toward becoming a master at deep learning, or if you are interested in machine learning and data science in general. If you already know about softmax and backpropagation, and you want to skip over the theory and speed things up using more advanced techniques along with GPU-optimization, check out my follow-up course on this topic, Data Science: Practical Deep Learning Concepts in Theano and TensorFlow.


5 Examples of Artificial Intelligence in the Classroom - The Edvocate

#artificialintelligence

Machine Learning algorithms have already begun helping teachers fill the gaps while indicating which subjects students are struggling with the most. Content Technologies, Inc. (CTI) is an AI company using Deep Learning to create customized textbooks that fit the needs of specific courses and students. CTI hopes to fill that gap and help publishers create effective textbooks right for each individual learner. With Netex, teachers can create customized student materials to be published on any digital platform while providing tools for video conferences, digital discussions, personalized assignments, and learning analytics that show visual representations of each student's personal growth.


Complete iOS 11 Machine Learning Masterclass - Udemy

@machinelearnbot

If you want to learn how to start building professional, career-boosting mobile apps and use Machine Learning to take things to the next level, then this course is for you. The Complete iOS Machine Learning Masterclass is the only course that you need for machine learning on iOS. Jump the curve and adopt this innovative approach; the Complete iOS Machine Learning Masterclass will introduce Machine Learning in a way that's both fun and engaging. One of the hottest growing fields in technology today, Machine Learning is an excellent skill to boost your your career prospects and expand your professional tool kit.


Satellite Remote Sensing Data Bootcamp With Opensource Tools

@machinelearnbot

MY COURSE IS A HANDS ON TRAINING WITH REAL REMOTE SENSING DATA WITH OPEN SOURCE TOOLS! My course provides a foundation to carry out PRACTICAL, real-life remote sensing analysis tasks in popular and FREE software frameworks with REAL spatial data. This course will ensure you learn & put remote sensing data analysis into practice today and increase your proficiency in geospatial analysis.


?siteID=.YZD2vKyNUY-nLok1VURrEpB0u.YEiBSWw&LSNPUBID=*YZD2vKyNUY

@machinelearnbot

This course not only covers machine learning techniques, it also covers in depth the rationale of investing strategy development. This course is the first of the Machine Learning for Finance and Algorithmic Trading & Investing Series. If you are looking for a course on applying machine learning to investing, the Machine Learning for Finance and Algorithmic Trading & Investing Series is for you. With over 30 machine learning techniques test cases, which included popular techniques such as Lasso regression, Ridge regression, SVM, XGBoost, random forest, Hidden Markov Model, common clustering techniques and many more, to get you started with applying Machine Learning to investing quickly.


How To Become A Learning Machine and Discover Your Genius!

@machinelearnbot

The course teaches students about the right attitude to take when learning, the best way to absorb knowledge and how to set goals and achieve them. By using this time to listen to audio books instead of listening to music, I have been able to complete some great books that help me at my job. The videos were fun, engaging, and I actually learned a lot about how to learn instead of what to learn. Take action to start improving your results by enroll in this course now!