DJ Patil on Data Science The Ask Me Anything Conversations
Focused View
3:44:08
18 View
01 - Data science Ask me anything.mp4
00:36
01 - What were you like as a kid.mp4
03:00
02 - How did your parents influence you.mp4
01:38
03 - How did you navigate college.mp4
03:51
04 - What are some fond memories from grad school.mp4
02:30
05 - How can you foster learning for everyone.mp4
04:55
06 - Whats the importance of learning liberal arts.mp4
02:19
07 - What advice do you have for job seekers.mp4
03:12
08 - How did data science come about.mp4
03:52
09 - What does it take to be a data scientist.mp4
03:49
10 - Why is apprenticeship important.mp4
03:24
11 - How can a data scientist influence policy.mp4
02:08
12 - How can you prepare for data science in college.mp4
04:39
13 - How can hackathons benefit me.mp4
01:19
14 - How did you use data in grad school.mp4
02:03
15 - How is data used in the U.S..mp4
03:39
16 - How is data used worldwide.mp4
01:23
17 - How do you expose holes in cybersecurity.mp4
03:17
18 - How can you educate people about hacking.mp4
02:19
19 - What are the real threats to personal data.mp4
03:56
20 - Should you focus on media headlines.mp4
01:24
21 - How can you educate people about data use.mp4
03:22
22 - How can people fight for data privacy.mp4
02:31
23 - Whats the role of the data scientist in 15 years.mp4
04:14
24 - What are you working on currently.mp4
03:15
25 - How can you make data secure.mp4
01:51
26 - How to serve the people with data science.mp4
02:39
27 - Whats the difference between wisdom and experience.mp4
01:30
28 - How do you advocate for science.mp4
01:44
29 - What is the role of AI in todays world.mp4
03:10
30 - Whats an example of ethical hacking.mp4
01:58
31 - How do you bring data science into the workplace.mp4
02:14
32 - What is the role of AI in human resources and recruiting.mp4
02:48
33 - What are tools every data scientist should own.mp4
03:51
34 - Is there a data science code of ethics.mp4
02:28
35 - What are AI threats in the cybersecurity world.mp4
01:16
36 - How can data scientists better inform the general public.mp4
04:27
37 - How can people participate in data science.mp4
02:16
38 - Why do people fear a machine revolution.mp4
01:25
39 - How can data inform healthcare.mp4
02:04
40 - Why should you democratize data.mp4
01:59
41 - How are you advocating for science.mp4
02:55
42 - Why is the March for Science important.mp4
03:27
43 - What is AI.mp4
01:22
44 - What is an example of robust machine learning.mp4
04:16
45 - What is AIs place in healthcare.mp4
03:14
46 - How can AI impact clinical trials.mp4
03:08
47 - How can a data scientist be best leveraged for business.mp4
01:13
48 - What does a data science team need to thrive.mp4
02:41
49 - What are the pros and cons of AI in HR roles.mp4
03:16
50 - What should be in a data scientists toolbox.mp4
03:08
51 - What makes up a good data science team.mp4
01:48
52 - What new projects are you working on.mp4
02:34
53 - What data science projects are you working on.mp4
01:30
54 - How can AI and machine learning (ML) help cybersecurity.mp4
03:40
55 - How can governments fight back against AI attacks.mp4
02:54
56 - What can the public do to protect against AI attacks.mp4
00:59
57 - What are neural networks (NN).mp4
01:54
58 - Whats the difference between ML and NN.mp4
01:27
59 - Do you have a favorite machine learning technique.mp4
00:52
60 - How does the Internet of Things work.mp4
01:23
61 - What is a connected city.mp4
02:54
62 - What is the fear associated with data.mp4
02:20
63 - How can you address the fear of machines taking jobs.mp4
03:05
64 - What about job loss due to AI.mp4
01:33
65 - Whats the reality of bringing back jobs.mp4
01:36
66 - What is a scientific process for data science.mp4
02:33
67 - What is your tip for not getting overwhelmed by big data.mp4
01:26
68 - How do you accept that youre not going to know stuff.mp4
01:50
69 - What is a dynamic range.mp4
02:24
70 - When does data leave holes.mp4
02:58
71 - How important is diversity on a data science team.mp4
01:59
72 - How does data influence peoples emotions.mp4
04:00
73 - How do you train yourself to be intellectually curious.mp4
02:05
74 - How do you empower people to foster dialogue.mp4
03:18
75 - What is your philosophy on leadership.mp4
02:41
76 - How can a company retain employees.mp4
03:28
77 - How do you cultivate employee development.mp4
03:08
78 - How do you identify algorithmic biases.mp4
02:31
79 - Can you describe the process of ethical testing.mp4
02:36
80 - How do you feel about machine learning for business decisions.mp4
01:40
81 - Can you talk about your book.mp4
04:00
82 - What are possible solutions for displacement.mp4
02:12
83 - What impact does technology have on the U.S. economy.mp4
02:48
84 - Can you discuss the future of intelligent things.mp4
03:11
85 - What are the current issues with data collection.mp4
02:00
86 - How is technology changing human expectations.mp4
00:57
01 - Wrapping up.mp4
00:59
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Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 88
- duration 3:44:08
- English subtitles has
- Release Date 2023/11/24
