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Mighty Data Science Bundle - BuzzTechy
Become an expert with this Data Science online bundle consisting of TOP courses that will teach you about neural network, SAS, & data mining using R & Python. Becoming a Data Expert is not difficult anymore! We have created this mighty bundle having 18 online courses entirely dedicated to master all the data science concepts. It is packed with courses focusing on the usage of different programming languages like Python & R, data mining, data cleaning, data analysis (especially in finance), neural networks, NLP and so much more. If these are not enough for you, then it also covers building real-world projects, TensorFlow & SAS programming.
The Advanced Guide to Deep Learning and Artificial Intelligence Bundle - BuzzTechy
This High-Intensity 14.5 Hour Bundle Will Help You Help Computers Address Some of Humanity's Biggest Problems In this course, intended to expand upon your knowledge of neural networks and deep learning, you'll harness these concepts for computer vision using convolutional neural networks. Going in-depth on the concept of convolution, you'll discover its wide range of applications, from generating image effects to modeling artificial organs. In this course, you'll dig deep into deep learning, discussing principal components analysis and a popular nonlinear dimensionality reduction technique known as t-distributed stochastic neighbor embedding (t-SNE). From there you'll learn about a special type of unsupervised neural network called the autoencoder, understanding how to link many together to get a better performance out of deep neural networks. A recurrent neural network is a class of artificial neural network where connections form a directed cycle, using their internal memory to process arbitrary sequences of inputs.
Best Data Science and Programming Course Bundle - BuzzTechy
My statistics course is ideal for those studying on their own, or if you are in a statistics class and struggling with your assigned textbook or lecture material. I know stats courses can be boring, so I try to make it as exciting as possible. The examples have a psychology bend, but this course is absolutely relevant for business students, especially those in data analysis that have to get a better understanding of statistical tests and the fundamental concepts. So welcome to you whether you are in business or psychology. I provide examples within the lessons, so this should cut down your study time. Furthermore, I make sure that students understand the links between the different lessons.
Top 10 Machine Learning Algorithms For Beginners in 2021 - BuzzTechy
In a world where nearly all manual tasks are being automated, the definition of manual is changing. Machine Learning algorithms can help computers play chess, perform surgeries, and get smarter and more personal. We are living in an era of constant technological progress, and looking at how computing has advanced over the years, we can predict what's to come in the days ahead. One of the main features of this revolution that stands out is how computing tools and techniques have been democratized. In the past five years, data scientists have built sophisticated data-crunching machines by seamlessly executing advanced techniques.
Computer Science 101: Intro to Java & Algorithms - BuzzTechy
This course is designed for students who are struggling in their computer science program, or anyone that wants to learn programming with little to no prior experience. We will take you from level zero to mastery in no time. The two instructors have combined 20 years experience with software development and computer science. What you'll learn Fundamentals of Programming Object Oriented Programming Basic Syntax to Expressions Selection Statements to Loops Advanced OOP Concepts ENROLL To Udemy Today
Machine Learning & Artificial Intelligence with Apache Spark - BuzzTechy
Machine Learning & Artificial Intelligence with Apache Spark - Full Course on sale for $10! (normally $200) Machine Learning & Artificial Intelligence with Apache Spark Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In this course, discover how to work with this powerful platform for machine learning. I will discusses MLlib--the Spark machine learning library--which provides tools for data scientists and analysts who would rather find solutions to business problems than code, test, and maintain their own machine learning libraries. I will show you how to use DataFrames to organize data structure, and also the data preparation and the most commonly used types of machine learning algorithms: clustering, classification, regression, and recommendations. What you'll learn Machine learning workflows Organizing data in DataFrames Preprocessing and data preparation steps for machine learning Classification algorithms Regression methods available in Spark MLlib Common approaches to designing recommendation systems GET Udemy Discount 95% off Machine Learning & Artificial Intelligence with Apache Spark