TryRoadMap
What Happens When a Narcissist Meets an INFJ #teamwork #ai
0:54
TryRoadMap
From Textiles to Tragedy The Rise and Fall of Takata #history #artificialintelligence #datascience
0:55
TryRoadMap
Toyota's Fast Lane to Trouble: From Quality Icon to $1.2 Billion Recall - Part I
0:47
TryRoadMap
Toyota Fast Lane to Trouble From Quality Icon to $1.2 Billion Recall - Part II
0:47
TryRoadMap
What Do Steve Jobs, Musk, Bezos, and Zuckerberg Have in Common
0:57
TryRoadMap
What is Positive Leadership? #KimCameron #Contribution #PositiveLeadership #Culture
0:36
TryRoadMap
PyTorch Power: Turning Images into Intelligence #PyTorch #DeepLearningMadeEasy #VisualML
0:46
TryRoadMap
Classifying Persian Rugs with PyTorch in 60 seconds! #PersianRugAI #PyTorch
0:55
TryRoadMap
Say Hi to AI iFriend Industry: The Future of AI Companions #generativemusic
0:40
TryRoadMap
What is Google Agent Space or the new AI Agent Ecosystem? #GoogleAgentSpace #AI #Agent2Agent
0:39
TryRoadMap
نگاه واقعی ایلان ماسک به دنیا چگونه است؟ قسمت سوم
0:57
TryRoadMap
نگاه واقعی ایلان ماسک به دنیا چگونه است؟ قسمت جهارم
0:32
TryRoadMap
نگاه واقعی ایلان ماسک به دنیا چگونه است؟ قسمت پنجم
0:50
TryRoadMap
نگاه واقعی ایلان ماسک به دنیا چگونه است؟ قسمت دوم
0:39
TryRoadMap
نگاه واقعی ایلان ماسک به دنیا چگونه است؟ قسمت ششم
0:46
TryRoadMap
نگاه واقعی ایلان ماسک به دنیا چگونه است؟ قسمت هفتم #history
0:39
TryRoadMap
نگاه واقعی ایلان ماسک به دنیا چگونه است؟ قسمت اول
0:42
TryRoadMap
نگاه واقعی ایلان ماسک به دنیا چگونه است؟ قسمت هشتم
0:36
TryRoadMap
نگاه واقعی ایلان ماسک به دنیا چگونه است؟ قسمت نهم
0:09
TryRoadMap
نگاه واقعی ایلان ماسک به دنیا چگونه است؟ قسمت دهم
0:31
TryRoadMap
AirBnB Challenge Project Time Series
1:01
TryRoadMap
AirLiquide Project Rush Hour
1:32
TryRoadMap
PhillyTalent Survey Part II | What most candidates' big challenges were in Data Science in 2019?
2:48
TryRoadMap
PhillyTalent Survey | What are the top channels for landing a job offer in Data Science in 2019?
3:01
TryRoadMap
PhillyTalent TechnologyStack Update | Adding Scala3
1:26
TryRoadMap
How to setup and login to your WorkSpace with PhillyTalent
4:16
TryRoadMap
AWS Week Philadelphia | PhillyTalent
1:47
TryRoadMap
Hands on Machine Learning Event Oct 2019 | PhillyTalent - Raw Video
41:52
TryRoadMap
Teaser Oct29th PhillyTalent DS Portfolio Competition Review
1:35
TryRoadMap
Career Transition to Data Science
45:32
TryRoadMap
Breaking into tech interviews
1:00:05
TryRoadMap
PhillyTalent Demo + Q&A
47:36
TryRoadMap
PhillyTalent Expert Kaggle presentation Teaser Video | Firas Baba July Cohort
2:32
TryRoadMap
Data Competitions: Hands On Machine Learning June 25th
13:37
TryRoadMap
SOFT - Vi Introduction: What Makes a Serious Developer?
2:11
TryRoadMap
SOFT - Building a RESTful APIs Django by Example Video
3:34
TryRoadMap
Kaggle Hands On Machine Learning with PhillyTalent May 2019
4:56
TryRoadMap
DT - How Does Multiple IF Conditions Work in Action?
0:58
TryRoadMap
DT - How Does Decision Trees Manage Linearly Non Separable Data
1:17
TryRoadMap
DT - Understand the Algorithm: Constructing a Decision Tree First Split
0:28
TryRoadMap
DT - w How Does DT Construct a Decision Tree 2nd Split
0:17
TryRoadMap
SOFT - Hands-On Dockerize a Simple Hello World Web Application
4:44
TryRoadMap
PhillyTalent: Today's Education System is Wrong about Jobs.
0:47
TryRoadMap
TF - How to Tune the Learning Rate in Parameter Hyperspace? (Advanced)
1:57
TryRoadMap
TF - What is Momentum and Learning Rate Decay in SGD Models? (Advanced)
1:08
TryRoadMap
TF - How to Perform a Proper Validation and Test Set Split?
0:42
TryRoadMap
TF - Data Leakage Image Classification (Advanced)
3:03
TryRoadMap
TF - Supervised Classification
0:48
TryRoadMap
TF - Why Need For Cross Entropy?
1:40
TryRoadMap
TF - Loss Evaluation & Minimizing Cross Entropy (Advanced)
1:55
TryRoadMap
TF - What Does Numberical Stability Mean? (Advanced)
0:30
TryRoadMap
TF - Why Need to Normalized Training Data and Initial Values? (Advanced)
2:46
TryRoadMap
TF - How Does One Hot Encoding Enable Us to Exactly Say Dog versus Cat?
0:49
TryRoadMap
TF How Does SoftMax Function Help Train Your Logistic Classifier
1:47
TryRoadMap
SVM - The Curse of Overfitting with Complex Models Such as SVMs
1:07
TryRoadMap
SVM - Overfitting SVM C Parameter with Train Data (Advanced)
0:36
TryRoadMap
SVM - Kernel, Gamma and C Value (Part II)
0:25
TryRoadMap
SVM - Hands-on with SVM Kernels for Your Data Competition (Part II)
0:37
TryRoadMap
SVM - So What is the Famous Kernel Trick?
1:40
TryRoadMap
SVM - More Practice On Making New Features Motivation Answer
1:10
TryRoadMap
SVM - More Practice On Making New Features Motivation Question
0:41
TryRoadMap
SVM - Separating with the New Feature: What are Linear Seperable Datasets?
0:36
TryRoadMap
SVM - Separating with the New Feature: What is Linearly Separable Dataset?
0:10
TryRoadMap
SVM - Visualizing the New Feature
1:10
TryRoadMap
SVM - Nonlinear Data Case
0:19
TryRoadMap
SVM - Building A New Feature for Nonlinear Data Example
1:20
TryRoadMap
SVM - The Case of Nonlinear Data
0:32
TryRoadMap
SVM - Coding Up the SVM Model with Two Lines of Code
0:52
TryRoadMap
SVM - How Does One Use Google to Start Coding Up an SVM?
1:23
TryRoadMap
SVM - SVM Decision Boundary Case Example
0:47
TryRoadMap
SVM - Starting with Google: SVM in SKlearn
1:45
TryRoadMap
SVM - SVM Outlier Case: Adding More Complexity to Solution
0:38
TryRoadMap
SVM - SVM Kernels: What's Tunning?
0:21
TryRoadMap
SVM - SVM Responsivenes to Outliers
0:42
TryRoadMap
SVM - SVM Solution to Outliers and Uncleaned data
0:29
TryRoadMap
SVM - The Solution to SVMs and Problematic Data Distributions
0:44
TryRoadMap
SVM - SVMs and Problematic Data Distributions
0:18
TryRoadMap
SVM - Question: About Margins
0:10
TryRoadMap
SVM - Robustness of a Solution from SVM: Practice with Margins Solution
0:42
TryRoadMap
SVM - How to Choose Between the Separating Lines Solutions
0:05
TryRoadMap
SVM - Margin: What Makes A Good Separating Line
0:49
TryRoadMap
SVM - key Idea 2: Choosing The Best Between The Separating Lines
0:20
TryRoadMap
SVM - Separating Line
0:51
TryRoadMap
SVM - Separating Line Solution: Acceptability
0:08