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Python Programming - Multithreading, OOP, NumPy and Pandas

Python programming language has become one of the most in-demand skills in the job market, making it a wise investment to learn. The Python Programming - Multithreading, OOP, NumPy and Pandas course covers all the essential topics in Python programming, including multithreading, parallel processing, OOP, NumPy, Matplotlib, and Pandas. Basics of Python The course starts with the basics of Python programming. It teaches you how to install Python and the integrated development environment. It al

PyTorch for Deep Learning and Computer Vision

Overview of PyTorch for Deep Learning and Computer Vision Course If you're looking to build highly sophisticated applications in deep learning and computer vision, PyTorch is the ideal framework to work with. From complete basics to designing state-of-the-art deep learning models, PyTorch for Deep Learning and Computer Vision course is the go-to educational platform for mastering PyTorch for deep learning and computer vision. With the rapid growth of PyTorch, it has become one of the most tran

PyTorch for Deep Learning in 2023: Zero to Mastery

Are you ready to become a deep learning engineer? If so, look no further than the PyTorch for Deep Learning in 2023: Zero to Mastery course. With a course rating aggregate of 4.62825 and over 1000 course reviews, this course will take you from zero to hero in no time. What is PyTorch and Why Should You Learn it? PyTorch is a deep learning and machine learning framework written in Python. It allows you to create and use state-of-the-art deep learning algorithms and neural networks to power man

PyTorch for Deep Learning with Python Bootcamp

PyTorch for Deep Learning with Python Bootcamp: A Comprehensive Review As technology continues to evolve, so does the field of artificial intelligence. Deep learning, a subset of AI, has been a game changer in solving complex problems that traditional machine learning algorithms have failed to do. The PyTorch for Deep Learning with Python Bootcamp is a course that aims to equip learners with the necessary skills to create state-of-the-art neural networks for deep learning using PyTorch, a deep

Recommender Systems and Deep Learning in Python

The Ultimate Course for Mastering Recommender Systems with Deep Learning Have you ever wondered how Amazon knows what products to suggest for you, or how YouTube keeps you glued to the screen with their video recommendations? The answer lies in the power of recommender systems, and now you can learn how to master them with the Recommender Systems and Deep Learning in Python course. The Most Comprehensive Course for Recommendation Systems This course is the most comprehensive and in-depth cou

Scalecast: Machine Learning & Deep Learning

Scalecast: Machine Learning & Deep Learning - Time Series Data Handling If you are looking for a course that provides solid foundations for creating machine learning and deep learning models that handle time series data, then the Scalecast course is definitely for you. Scalecast is an interface that allows uniform modeling, reporting, and data visualization using a diverse set of libraries, including Scikit-learn, Statsmodels, and TensorFlow. This course is perfect for those who want to learn h

SciKit-Learn in Python for Machine Learning Engineers

Welcome to SciKit-Learn in Python for Machine Learning Engineers, the fourth course in a series designed to help you gain a solid foundation in the machine learning space through Python. With the ever-expanding data landscape requiring more sophisticated tools and techniques, mastery of machine learning models is becoming increasingly important for data engineers, machine learning engineers and data scientists alike. The Course Overview The Django Framework is one of Python's most popular web

scikit-learn Recipes

If you're looking to take your data analysis skills to the next level, scikit-learn Recipes is a great course to take. This course offers practical recipes for powerful data analysis with scikit-learn, one of the most powerful packages for machine learning. With over four years of experience working on machine learning projects, Sahiba Chopra is an experienced data scientist that will be your instructor for the course. Course Overview The course is targeted at those new to scikit-learn or wit

scikit-learn tips and tricks

Master Scikit-Learn for Real-World ML As a data scientist, you know that Scikit-Learn is an essential tool in your toolbox. But you've probably also noticed that most online courses that cover this Python library barely scratch the surface. If you want to take your machine learning skills to the next level, you need a course that goes beyond the basics and provides in-depth knowledge of how to use Scikit-Learn to build better models. That's where scikit-learn tips and tricks comes in. A Compr

SQL for Data Analysis: Beginner MySQL Business Intelligence

If you're interested in mastering data analysis with SQL, the SQL for Data Analysis: Beginner MySQL Business Intelligence course is a great place to start. This course will teach you how to use SQL database querying with MySQL Workbench, which is perfect for SQL beginners and first-time coders. With a course rating aggregate of 4.70896, this course has received a lot of positive feedback from its 7800 students. Course Overview The course is designed to teach the fundamentals of SQL and MySQL,

SQL for Data Analysis - with SQL Server

If you are in search of a highly paid career that relies heavily on skills in database management and analysis, then it will be worth your time to learn SQL. SQL, an acronym for Structured Query Language, allows you to query databases and extract useful insights from data. Through this language, data-intensive career paths such as Data Analyst, Business Intelligence Analyst, and Data Scientist can become feasible career opportunities. The Course Title Comes as SQL for Data Analysis – with SQL

SQL Masterclass for Data Analysis with BigData

SQL is an acronym for Structured Query Language, and it is essential for managing data in a Relational Database Management System (RDBMS). SQL is also necessary for Data Scientists to work with data, and without it, Data Science is worthless. A Data Analyst can utilize SQL to fetch, read, manipulate, and analyze data kept in a database to obtain valuable insights that will aid decision-making. The Best Online Course for SQL Do you desire to master SQL queries and become an in-demand SQL profe

Statistics for Data Analysis Using Excel 2016

If you are looking to learn basic concepts of Statistics and Data Analysis and apply them in your workplace using Microsoft Excel, then the 'Statistics for Data Analysis Using Excel 2016' course is exactly what you need. The course is designed to help you love data and make sense of it. This guide provides all the information about the course to help you make an informed decision about signing up. Course Description The course provides plain and simple lessons on descriptive and inferential s

Step by step guide in mastering Scikit-Learn (2021)

If you're a beginner looking to step into the world of Data Science and Machine Learning, Scikit-Learn is a must-learn tool. The Step by Step guide in mastering Scikit-Learn (2021) course is designed to teach beginners to employ Scikit-Learn effectively. The Course Content The course demonstrates how to execute data analysis and model creation using Scikit-Learn. It covers the complete workflow of Scikit-Learn, from data gathering to modelling. The presenter explains how Pandas, Numpy, Matplo

Tableau Desktop for Data Analysis & Data Visualization

Are you intrigued by the world of data analysis and looking to gain new skills in this field? Or, are you a business intelligence professional looking to enhance your knowledge and expertise? Regardless, the Tableau Desktop for Data Analysis & Data Visualization course is designed to take your skills to the next level and give you extensive knowledge in Tableau. Course Description The Tableau Desktop is an exceptional data visualization and self-service BI platform that has become very popula

Tensorflow 2.0: Deep Learning and Artificial Intelligence

Tensorflow 2.0 is a library created by Google for deep learning and artificial intelligence. With this library, students can learn about all of the major deep learning architectures like Deep Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. It is an excellent course for beginner-level students up to expert-level students who want to learn fast. Course Content The Tensorflow 2.0: Deep Learning and Artificial Intelligence course has been designed to include a wide

The Advanced SQL Server Masterclass For Data Analysis

If you're looking to take your SQL skills and career to the next level, look no further than The Advanced SQL Server Masterclass For Data Analysis. With a high course rating aggregate of 4.68063 and 2327 course reviews, this course promises to teach you all of the advanced techniques and tools you'll need to analyze and wrangle data quickly and efficiently. What's The Course About? The Advanced SQL Server Masterclass For Data Analysis is designed for those who already know the basics of SQL a

The Complete Machine Learning Course with Python

If you're interested in machine learning and want to learn how to build powerful machine learning models to solve real-life problems, then the Complete Machine Learning Course with Python is the perfect course for you to take. With endorsements from thousands of students and an average rating of 4.39572, this highly-rated course will teach you everything you need to know about machine learning with Python. The Course Content The course is led by Anthony NG, a senior lecturer based in Singapor

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2D Parallel Distributed Methods 3D Face Mesh Models 3D Object Detection Models 3D Reconstruction 3D Representations 6D Pose Estimation Models Action Recognition Blocks Action Recognition Models Activation Functions Active Learning Actor-Critic Algorithms Adaptive Computation Adversarial Adversarial Attacks Adversarial Image Data Augmentation Adversarial Training Affinity Functions AI Adult Chatbots AI Advertising Software AI Algorithm AI App Builders AI Art Generator AI Art Generator Anime AI Art Generator Free AI Art Generator From Text AI Art Tools AI Article Writing Tools AI Assistants AI Automation AI Automation Tools AI Blog Content Writing Tools AI Brain Training AI Calendar Assistants AI Character Generators AI Chatbot AI Chatbots Free AI Coding Tools AI Collaboration Platform AI Colorization Tools AI Content Detection Tools AI Content Marketing Tools AI Copywriting Software Free AI Copywriting Tools AI Design Software AI Developer Tools AI Devices AI Ecommerce Tools AI Email 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Model Blocks Audio to Text Augmented Reality Methods Auto Parallel Methods Autoencoding Transformers AutoML Autoregressive Transformers Backbone Architectures Bare Metal Bare Metal Cloud Bayesian Reinforcement Learning Behaviour Policies Bidirectional Recurrent Neural Networks Bijective Transformation Binary Neural Networks Board Game Models Bot Detection Cache Replacement Models CAD Design Models Card Game Models Cashier-Free Shopping ChatGPT ChatGPT Courses ChatGPT Plugins ChatGPT Tools Cloud GPU Clustering Code Generation Transformers Computer Code Computer Vision Computer Vision Courses Conditional Image-to-Image Translation Models Confidence Calibration Confidence Estimators Contextualized Word Embeddings Control and Decision Systems Conversational AI Tools Conversational Models Convolutional Neural Networks Convolutions Copy Mechanisms Counting Methods Data Analysis Courses Data Parallel Methods Deep Learning Courses Deep Tabular Learning Degridding Density Ratio Learning Dependency Parsers Deraining Models Detection Assignment Rules Dialog Adaptation Dialog System Evaluation Dialogue State Trackers Dimensionality Reduction Discriminators Distillation Distributed Communication Distributed Methods Distributed Reinforcement Learning Distribution Approximation Distributions Document Embeddings Document Summary Evaluation Document Understanding Models Domain Adaptation Downsampling E-signing Efficient Planning Eligibility Traces Ensembling Entity Recognition Models Entity Retrieval Models Environment Design Methods Exaggeration Detection Models Expense Trackers Explainable CNNs Exploration Strategies Face Privacy Face Recognition Models Face Restoration Models Face-to-Face Translation Factorization Machines Feature Extractors Feature Matching Feature Pyramid Blocks Feature Upsampling Feedforward Networks Few-Shot Image-to-Image Translation Fine-Tuning Font Generation Models Fourier-related Transforms Free AI Tools Free Subscription Trackers Gated Linear Networks Generalization Generalized Additive Models Generalized Linear Models Generative Adversarial Networks Generative Audio Models Generative Discrimination Generative Models Generative Sequence Models Generative Training Generative Video Models Geometric Matching Graph Data Augmentation Graph Embeddings Graph Models Graph Representation Learning Graphics Models Graphs Heuristic Search Algorithms Human Object Interaction Detectors Hybrid Fuzzing Hybrid Optimization Hybrid Parallel Methods Hyperparameter Search Image Colorization Models Image Data Augmentation Image Decomposition Models Image Denoising Models Image Feature Extractors Image Generation Models Image Inpainting Modules Image Manipulation Models Image Model Blocks Image Models Image Quality Models Image Representations Image Restoration Models Image Retrieval Models Image Scaling Strategies Image Segmentation Models Image Semantic Segmentation Metric Image Super-Resolution Models Imitation Learning Methods Incident Aggregation Models Inference Attack Inference Engines Inference Extrapolation Information Bottleneck Information Retrieval Methods Initialization Input Embedding Factorization Instance Segmentation Models Instance Segmentation Modules Interactive Semantic Segmentation Models Interpretability Intra-Layer Parallel Keras Courses Kernel Methods Knowledge Base Knowledge Distillation Label Correction Lane Detection Models Language Model Components Language Model Pre-Training Large Batch Optimization Large Language Models (LLMs) Latent Variable Sampling Layout Annotation Models Leadership Inference Learning Rate Schedules Learning to Rank Models Lifelong Learning Likelihood-Based Generative Models Link Tracking Localization Models Long-Range Interaction Layers Loss Functions Machine Learning Machine Learning Algorithms Machine Learning Courses Machine Translation Models Manifold Disentangling Markov Chain Monte Carlo Mask Branches Massive Multitask Language Understanding (MMLU) Math Formula Detection Models Mean Shift Clustering Medical Medical Image Models Medical waveform analysis Mesh-Based Simulation Models Meshing Meta-Learning Algorithms Methodology Miscellaneous Miscellaneous Components Mixture-of-Experts Model Compression Model Parallel Methods Momentum Rules Monocular Depth Estimation Models Motion Control Motion Prediction Models Multi-Modal Methods Multi-Object Tracking Models Multi-Scale Training Music Music source separation Music Transcription Natural Language Processing Natural Language Processing Courses Negative Sampling Network Shrinking Neural Architecture Search Neural Networks Neural Networks Courses Neural Search No Code AI No Code AI App Builders No Code Courses No Code Tools Non-Parametric Classification Non-Parametric Regression Normalization Numpy Courses Object Detection Models Object Detection Modules OCR Models Off-Policy TD Control Offline Reinforcement Learning Methods On-Policy TD Control One-Stage Object Detection Models Open-Domain 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Replicated Data Parallel Representation Learning Reversible Image Conversion Models RGB-D Saliency Detection Models RL Transformers Robotic Manipulation Models Robots Robust Training Robustness Methods RoI Feature Extractors Rule-based systems Rule Learners Sample Re-Weighting Scene Text Models scikit-learn Scikit-learn Courses Self-Supervised Learning Self-Training Methods Semantic Segmentation Models Semantic Segmentation Modules Semi-supervised Learning Semi-Supervised Learning Methods Sentence Embeddings Sequence Decoding Methods Sequence Editing Models Sequence To Sequence Models Sequential Blocks Sharded Data Parallel Methods Skip Connection Blocks Skip Connections SLAM Methods Span Representations Sparsetral Sparsity Speaker Diarization Speech Speech Embeddings Speech enhancement Speech Recognition Speech Separation Models Speech Synthesis Blocks Spreadsheet Formula Prediction Models State Similarity Metrics Static Word Embeddings Stereo Depth Estimation Models Stochastic Optimization Structured Prediction Style Transfer Models Style Transfer Modules Subscription Managers Subword Segmentation Super-Resolution Models Supervised Learning Synchronous Pipeline Parallel Synthesized Attention Mechanisms Table Parsing Models Table Question Answering Models Tableau Courses Tabular Data Generation Taxonomy Expansion Models Temporal Convolutions TensorFlow Courses Ternarization Text Augmentation Text Classification Models Text Data Augmentation Text Instance Representations Text-to-Speech Models Textual Inference Models Textual Meaning Theorem Proving Models Thermal Image Processing Models Time Series Time Series Analysis Time Series Modules Tokenizers Topic Embeddings Trajectory Data Augmentation Trajectory Prediction Models Transformers Twin Networks Unpaired Image-to-Image Translation Unsupervised Learning URL Shorteners Value Function Estimation Variational Optimization Vector Database Video Data Augmentation Video Frame Interpolation Video Game Models Video Inpainting Models Video Instance Segmentation Models Video Interpolation Models Video Model Blocks Video Object Segmentation Models Video Panoptic Segmentation Models Video Recognition Models Video Super-Resolution Models Video-Text Retrieval Models Vision and Language Pre-Trained Models Vision Transformers VQA Models Webpage Object Detection Pipeline Website Monitoring Whitening Word Embeddings Working Memory Models