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Data Science With Dennis @UCHwtcErELc2fYDmMQHV96kA@youtube.com

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🎥 Covering Microsoft Ignite 2025 | Chief Data Scientist | C


04:41
#29 Data Engineering & Modeling: How Much is Enough:? - #ai #datascience #machinelear...
02:20
#26 Data Analyst vs Data Scientist: The Modeling Difference! - #ai #datascience #mach...
02:55
#28 Data Science Explained: Statistics to Neural Networks Roadmap - #ai #datascience ...
02:20
#22 Neural Networks: Hyperparameter Tuning for Optimal Architecture - #ai #datascienc...
02:45
#12 Activation Functions: Neural Networks Explained Simply! - #ai #datascience #machi...
02:42
#13 NLP Pre-processing: Avoid Disaster with Consistent Tokenization! - #ai #datascien...
02:48
#15 Neural Networks: Understanding Learning, Data, and Experimentation - #ai #datasci...
05:04
#23 Neural Networks: Weights, Activation Functions, Explained Simply! - #ai #datascie...
02:46
#7 Neural Networks Explained Simply: Math Simulating the Brain - #ai #datascience #ma...
02:04
#4 Master Neural Networks: The BEST Book & Strategy! - #ai #datascience #machinelearn...
03:49
#1 NLP Tokenization: Demystifying Data Pre-processing for Neural Networks - #ai #data...
03:06
#16 Deep Neural Networks: Avoiding Overfitting & Risks - #ai #datascience #machinelea...
04:35
#10 Neural Networks: Build One Without Code Next Week! - #ai #datascience #machinelea...
03:35
#6 Output Layer Explained: Match Predictions & Problem Type! - #ai #datascience #mach...
02:09
#27 Deep Neural Networks: Avoiding Overfitting & Vanishing Gradients - #ai #datascien...
01:55
#21 Neural Networks Explained Simply: Business Stakeholder Perspective - #ai #datasci...
02:42
#25 NLP Tokenization EXPLAINED: Ace Your Next Interview! - #ai #datascience #machinel...
02:18
#30 Activation Functions Explained: Beyond ReLU - Custom Options! - #ai #datascience ...
01:25
#24 Neural Networks Explained: A Beginner's Guide (No Code!) - #ai #datascience #mach...
03:58
#3 Neural Networks Explained Simply: No Code, No Math! - #ai #datascience #machinelea...
01:47
#20 Neural Networks: Stop Feeling Intimidated by Data Science! - #ai #datascience #ma...
01:04
#11 Neural Network Explained: Simple Definition for Business - #ai #datascience #mach...
08:59
How To Run A Data Science Meeting
06:25
AI Roadmap for College Students
00:12
Precision vs Recall Explained for 10 Year Old CEOs!
01:43
Fixing Incorrect Calculations Model Evaluation & Ground Truth
00:18
Euler's Number Explained Solve Math Problems FAST!
02:02
Sigmoid vs Step Function Why Smooth Transitions Matter
01:24
ReLU vs Sigmoid Activation Functions Explained Simply
13:01
Neural Networks Explained Epochs, Nodes & Learning Rates
01:52
Keras & Neural Networks FREE Learning Resources!
00:47
Keras vs PyTorch Choosing the Right Neural Network Framework
01:42
Neural Networks No Limits on Layers & Nodes!
00:25
Neural Network Optimization Hyperparameter Tuning Guide
00:25
Understanding Thresholds 0 or 1 Probability Explained!
10:22
Logistic Regression vs Linear Regression Neural Network Probabilities
02:51
Neural Networks Speed, Overfitting, and Data Types Explained
09:38
Neural Network Optimization Hidden Layers & Tuning for XOR
10:09
Neural Networks Test Your Knowledge! Lightning Round Review
09:49
Optimus vs Tesla Neural Network Size and Complexity
07:24
Data Science Team AI, Machine Learning, and Discussion
05:53
Overfitting Risks Epochs vs Nodes in Neural Networks
09:46
Understanding Neural Network Loss & XOR Output Decimals
08:02
Neural Network Output Layer Understanding Nodes and Complexity
07:33
Data Science Experimenting to Beat Baseline with Neural Networks
09:46
Data Science Neural Network Experimentation and Insights
14:08
Data Science Experiments Epochs, Learning Rate Analysis
07:53
Neural Networks Dimensionality vs Time Series Explained!
10:14
Neural Networks Frameworks Grid Search and Learning Rates Explained
08:21
Keras Building Neural Networks Made Easy!
11:48
Keras Training Cycle Demystifying Model Outputs & Frameworks
07:37
Dropout Rate Explained Prevent Overfitting in Neural Networks!
08:00
Neural Networks Feedforward, RNN, CNN Explained Simply!
03:47
Image Recognition CNN, Grid Search, & Dropout Rate Explained
09:28
Improve Model Accuracy Add Layers or Increase Nodes
10:06
Confusion Matrix Deep Dive Improving Model Accuracy!
13:12
ChatGPT Confusion Matrix Fixing AI's Terrible Visualization!
12:30
ChatGPT and Keras Building a Neural Network
11:47
Neural Network Architecture Improve Model Accuracy and Performance
03:02
Data Science Flexibility Feature Engineering or Not