Artificial Intelligence and Deep Learning with TensorFlow Power BI Self-paced Courses: Data Science with R Advanced Excel MongoDB MS-SQL What will you learn in the Masters in Data Science program? What are the prerequisites for taking this Master's in Data Science training course?
Covers all aspects of data science, starting with the basics of programming (binary, loops, number systems, etc.) to intermediate programming topics (arrays, OOPs, sorting, recursion, etc.) to ML Engineering (NLP, Reinforcement Learning, TensorFlow, Keras, etc.) and advanced programming topics (...
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1. Data Science from Scratch: First Principles with Python by Joel Grus Data Science from Scratch is a perfect book for beginners. After the successful first edition of the book, Joel Grus introduced a revised edition that covers the basics of data science using the Python 3 programming languag...
Machine Learning by Stanford University via Coursera Machine Learning by Columbia University via edX Machine Learning A-Z™: Hands-On Python & R In Data Science by Kirill Eremenko and Hadelin de Ponteves via UdemyDeep LearningCreative Applications of Deep Learning with TensorFlow by Kadenze Neural...
That’s why in this Introduction To Deep Learning Guide, we’re going to show beginners how they can get started with Google’s free deep learning software, i.e., TensorFlow Tools. Are you or someone you know tired of the same old job? Then this NEW opportunity is for you! What to ...
Build and train a neural network with TensorFlow to perform multi-class classification Understand parametric and non-parametric algorithms, clustering (k-Means algorithm), dimensionality reduction, anomaly detection among other important topics Build recommender systems and deep reinforcement learning models ...
We pioneered the use of Python for data science, champion its vibrant com Users Software Engineer Industries Information Technology and Services Computer Software Market Segment 39% Enterprise 35% Small-Business Get a quote TensorFlow By TensorFlow (125)4.5 out of 5 5th Easiest To Use in Data ...
By using concrete examples, minimal theory and two production-ready Python frameworks, Scikit-learn and TensorFlow, Géron offers an intuitive understanding of the concepts and tools for building intelligent systems. Readers will start with simple linear regression and progress to deep neural networks. ...
What you'll learn: You'll cover R and Python for data analytics and visualization. Students will also delve into machine learning with Python and work on real-world projects. The program covers packages such as NumPy, SciPy, Pandas, Scikit-learn, Keras, TensorFlow, and SpaCy. Cost and lengt...