Get quick access to your product right after purchase—no wait times.
Estimated to be delivered 0-24 H
Rest assured with our E-books digital products—delivered instantly via email! We stand by the quality of our digital offerings, but if you're not satisfied, we offer a hassle-free return policy.
You can request a refund for most digital purchases within 30 days of delivery. If you encounter any issues or if the product doesn't meet your expectations, simply contact our support team.
Although these digital products aren't physically returned, your satisfaction is our priority. Our team will work with you to ensure a smooth resolution or provide a refund promptly to your original payment method.
Shop with confidence! Enjoy the assurance of secure transactions with PayPal, a trusted and globally recognized payment gateway. Benefit from the safety and coverage of PayPal Buyer Protection, ensuring your purchase is secure and protected. Pay seamlessly with your credit or debit card through PayPal, providing you with an additional layer of security and convenience. Your peace of mind is our priority, and with PayPal, your transactions are backed by industry-leading safety measures and buyer guarantees.
example text 2 example text 1 Machine and Deep Learning Algorithms and Applications Machine and Deep Learning Algorithms and Applications This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine learning algorithm involves training, and generally the performance of a machine learning model improves with more training data. Deep learning is a sub-area of machine learning that involves extensive use of layers of artificial neural networks typically trained on massive amounts of data. Machine and deep learning methods are often used in contemporary data science tasks to address the growing data sets and detect, cluster, and classify data patterns. Although machine learning commercial interest has grown relatively recently, the roots of machine learning go back to decades ago. We note that nearly all organizations, including industry, government, defense, and health, are using machine learning to address a variety of needs and applications. The machine learning paradigms presented can be broadly divided into the following three categories: supervised learning, unsupervised learning, and semi-supervised learning. Supervised learning algorithms focus on learning a mapping function, and they are trained with supervision on labeled data. Supervised learning is further sub-divided into classification and regression algorithms. Unsupervised learning typically does not have access to ground truth, and often the goal is to learn or uncover the hidden pattern in the data. Through semi-supervised learning, one can effectively utilize a large volume of unlabeled data and a limited amount of labeled data to improve machine learning model performances. Deep learning and neural networks are also covered in this book. Deep neural networks have attracted a lot of interest during the last ten years due to the availability of graphics processing units (GPU) computational power, big data, and new software platforms. They have strong capabilities in terms of learning complex mapping functions for different types of data. We organize the book as follows. The book starts by introducing concepts in supervised, unsupervised, and semi-supervised learning. Several algorithms and their inner workings are presented within these three categories. We then continue with a brief introduction to artificial neural network algorithms and their properties. In addition, we cover an array of applications and provide extensive bibliography. The book ends with a summary of the key machine learning concepts. Read More
Experience immediate satisfaction with our Ebooks digital products! Once your purchase is complete, your product is promptly delivered via email, ensuring zero wait times. Anticipate receiving your digital delivery within 0-24 hours, granting you rapid access to our premium digital offerings. Embrace efficiency with Ebooks—swiftly delivered straight to your inbox.
We are committed to your satisfaction with our Ebooks digital products. If, for any reason, you're unsatisfied, we offer a hassle-free return policy. You can request a refund for most digital purchases within 30 days of delivery. Contact our dedicated support team in case of any issues or if the product doesn't meet your expectations.
As these digital products aren't physically returned, your contentment remains our priority. Our team will diligently collaborate with you to ensure a smooth resolution or promptly process a refund to your original payment method. Your satisfaction is at the core of our commitment.
Thanks for subscribing!
This email has been registered!