Machine Learning and Deep Learning using Tensor Flow & Keras ★★☆☆☆ $19.99 $10.00 in stock Enroll Now Udemy.com as of A-Z Course for Google's Deep Learning Framework - TensorFlow with Python! Learn to use functions and apply Codes. Created by: Indira Programmer An ex-Cisco, GE, HP& JP Morgan Chase.(Data scientist) Rating: 1.95 (139 reviews) 1892 students enrolled What Will I Learn? Understand the intuition behind Artificial Neural Networks Apply Artificial Neural Networks in practice Understand the intuition behind Convolutional Neural Networks Understand the intuition behind Convolutional Neural Networks Understand the intuition behind Recurrent Neural Networks Apply Recurrent Neural Networks in practice Understand the intuition behind Machine Learning and its applications Understand the Deep Learning Frameworks and the performance comparison Understand Neural networks Algorithms Understand artificial neurons Understand the basics of Tensor Flow Understand tons of other concepts related to Deep Learning,Machine learning,Convolutional Neural Networks and Tensor Flow Requirements Just some high school mathematics level. Some Knowledge of at least one programming language Target audience Anyone interested in Machine Learning,Deep Learning Students who have at least high school knowledge in math and who want to start learning Machine Learning. Any intermediate level people who know the basics of Machine Learning or Deep Learning, including the classical algorithms like linear regression or logistic regression and more advanced topics like Artificial Neural Networks, but who want to learn more about it and explore all the different fields of Deep Learning Anyone who is not that comfortable with coding but who is interested in Deep Learning and wants to apply it easily on datasets Any students in college who want to start a career in Data Science Any data analysts who want to level up in Deep Learning Any people who want to create added value to their business by using powerful Deep Learning tools Any business owners who want to understand how to leverage the Exponential technology of Deep Learning in their business Any Entrepreneur who wants to create disruption in an industry using the most cutting edge Deep Learning algorithms Android Machine Learning with TensorFlow lite in Java/Kotlin ★★★★☆ $94.99 $10.00 in stock Enroll Now Udemy.com as of Learn Machine Learning use in Android using Kotlin,Java ,Android studio and Tensorflow Lite ,Build 10+ ML Android Apps Created by: Hamza Asif Android Developer | Udemy Instructor | Android Entrepreneur Rating: 4.08 (128 reviews) 20015 students enrolled What Will I Learn? Train machine learning models on datasets and developing Android Applications Use Trained Machine Learning models inside Android Application using Android Studio Train 10+ machine learning models and build Android Application for those models Learn Basics of Python Programming language Learn popular Machine Learning libraries like Numpy,Pandas and Matplotlib Complete understanding of Machine Learning ,Deep Learning and Neural Networks Learn basics of Tensorflow 2.0 Learn about Tensorflow Lite Generating Tensorflow lite model from Keras model, saved model, concrete function Train and deploy classification and regression models Training recognition models and creating Android Applications for those models Deploy Machine Learning models using Android Studio Requirements Basic knowledge of Android Development Target audience Android Developers curious about Machine Learning People having basic knowledge of Android Development People want to make their Android Applications smart Python for Data Science and Machine Learning Bootcamp ★★★★★ $109.99 $11.00 in stock Enroll Now Udemy.com as of Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more! Created by: Jose Portilla Head of Data Science, Pierian Data Inc. Rating: 4.58 (85289 reviews) 380092 students enrolled What Will I Learn? Use Python for Data Science and Machine Learning Use Spark for Big Data Analysis Implement Machine Learning Algorithms Learn to use NumPy for Numerical Data Learn to use Pandas for Data Analysis Learn to use Matplotlib for Python Plotting Learn to use Seaborn for statistical plots Use Plotly for interactive dynamic visualizations Use SciKit-Learn for Machine Learning Tasks K-Means Clustering Logistic Regression Linear Regression Random Forest and Decision Trees Natural Language Processing and Spam Filters Neural Networks Support Vector Machines Requirements Some programming experience Admin permissions to download files Target audience This course is meant for people with at least some programming experience Google Cloud Machine Learning with TensorFlow ★★★★☆ $94.99 $10.00 in stock Enroll Now Udemy.com as of Train and predict your models using the Google Cloud ML Engine Created by: Packt Publishing Tech Knowledge in Motion Rating: 4.2 (35 reviews) 163 students enrolled What Will I Learn? Get access to powerful computers with GPUs organized in clusters to optimize your performance Train bigger models faster using the Google Cloud infrastructure Explore machine types and learn how to configure clusters to solve problems Train deep learning models using the Google Cloud AI Platform Run classical machine learning algorithms with TensorFlow Run your trained models to get predictions using the AI Platform API Requirements Familiarity with ML concepts will be advantageous. Target audience This course targets data scientists, people starting their journey in the ML/DL domain, and anyone keen to start training deep neural networks using cloud infrastructures. Mobile Machine Learning for Android: TensorFlow & Python ★★★★☆ $94.99 $10.00 in stock Enroll Now Udemy.com as of Use PyCharm, Java & Android Studio to make apps using artificial intelligence. Learn with hands-on projects & examples! Created by: Mammoth Interactive Top-Rated Instructor, 700,000+ Students Created by: John Bura Best Selling Instructor Web/App/Game Developer 700k Students Rating: 4.2 (68 reviews) 595 students enrolled What Will I Learn? Handwritten digit recognition with basic and advanced MNIST (projects) Weather prediction (project) Explore PyCharm and the Python language Explore Android Studio and the Java language Discover applications of machine learning and where we use machine learning daily Explore different machine learning mechanisms and commonly used algorithms Explore TensorFlow, a machine learning framework Build a simple linear regression model in PyCharm with TensorFlow And more projects, practice, and coding! Requirements No prior knowledge is required! We will teach you all you need to know about the languages, software and technologies we use. Designed for beginners. Target audience Anyone who wants to build intelligent mobile apps! Anyone who wants to learn how machine learning works in a mobile environment. Machine Learning Projects with TensorFlow 2.0 $94.99 $10.00 in stock Enroll Now Udemy.com as of Build and train models for real-world machine learning projects using Tensorflow 2.0 Created by: Packt Publishing Tech Knowledge in Motion 9 students enrolled What Will I Learn? Strengthen your foundations to build TensorFlow 2.0 projects by exploring its new features Analyze the Titanic data set to obtain desired results with ease Implement and organize your Tensorflow projects in a professional manner Use Tensorboard to inspect various metrics and monitor your project’s performance Research and make the most of other people's Kaggle solutions Use OpenAI Gym Environments for implementing state of the art reinforcement learning techniques using TF-Agents Apply the latest Transfer Learning techniques from Tensorflow Requirements This course will appeal to someone who has a basic understanding of ML concepts, Python and TensorFlow. Target audience This course is for developers, data scientists and ML engineers who now want to enhance their skill set in Machine Learning using TensorFlow by building real-world projects. Build Neural Networks In Seconds Using Deep Learning Studio ★★★★★ $89.99 $10.00 in stock Enroll Now Udemy.com as of Develop Keras / TensorFlow Deep Learning Models Using A GUI And Without Knowing Python Or Machine Learning Created by: Michael Kroeker Technologist and Data Scientist Rating: 4.6 (163 reviews) 520 students enrolled What Will I Learn? How To Build Deep Neural Networks In Seconds Using Deep Learning Studio. Rapidly Build And Visualise Neural Networks Without Programming Skills. How To Understand Neural Networks Without Math Formulas. How To Build Neural Networks Without Programming. How To Deploy Machine Learning Models Built Using Deep Learning Studio. Understand Normalization Without Heavy Math Or Complicated Technical Explanations. Understand Dropout Without Heavy Math Or Complicated Technical Explanations. How To Download Neural Network Models Built In Deep Learning Studio As Python / Keras / TensorFlow Script. Learn Practical Information On Developing Artificial Neural Networks, Data Collection, And Creating Robust Models. Requirements Interest In Machine Learning And Neural Networks. Interest Or Curiosity About Data Science. Target audience Anyone Curios About Data Science. Anyone Interested In Python, Keras Or Tensorflow. Anyone Who Does NOT Want To Learn Python But Would Like To Develop Machine Learning Models. Anyone Wanting To Launch Their Data Science Career Faster. Experienced Python Programmers Who Want To Know How To Develop Keras / Tensorflow Deep Learning Models Faster, Better, And Easier. Anyone Interested In Deep Learning Studio. Use Machine Learning to Make Apps and AI to Detect Fraud ★★★★☆ $94.99 $10.00 in stock Enroll Now Udemy.com as of Build 5 massive projects! Build neuron functions, convolutional layers and Android apps with Python and TensorFlow Created by: Mammoth Interactive Top-Rated Instructor, 700,000+ Students Created by: John Bura Best Selling Instructor Web/App/Game Developer 700k Students Rating: 4.05 (18 reviews) 223 students enrolled What Will I Learn? Make a Credit Card Fraud Detection Model in Python. Learn how to keep your data safe! Learn TensorFlow and how to build models of linear regression Learn how to code in Python, a popular coding language used for websites like YouTube and Instagram. Handwritten digit recognition with basic and advanced MNIST (projects) Weather prediction (project) Explore Android Studio and the Java language Discover applications of machine learning and where we use machine learning daily Explore different machine learning mechanisms and commonly used algorithms Explore TensorFlow, a machine learning framework Test your knowledge with coding exercises Requirements No prior knowledge is required. We will teach you all you need to know about the languages, software and technologies we use. If you have lots of experience building machine learning apps, you may find this course a little slow because it’s designed for beginners. Download PyCharm Community Edition Target audience Topics involve intermediate math, so familiarity with university-level math is very helpful. Beginners who want to learn to use Artificial Intelligence. Continue reading...
