Sadie St. Lawrence returns to discuss the biggest data science trends that are set to take over the industry in 2022. In this episode you will learn:<ul>
<li>A look back at data science trends for 2021 [4:03]</li>
<li>Micro and macro data science trends for 2022 [12:30]</li>
<li>AutoML tools [15:20]</li>
<li>The social implications of deepfakes [21:21]</li>
<li>Scalable AI [38:40]</li>
<li>Macro data science trends for 2022 [42:45]</li>
<li>The impact of the remote-working economy in data science [43:21]</li>
<li>Blockchain in data science [50:28]</li>
<li>Data literacy of the global workforce [1:01:07]</li>
</ul> Additional materials: <a href="https://www.superdatascience.com/537">www.superdatascience.com/537</a>

Sadie St. Lawrence returns to discuss the biggest data science trends that are set to take over the industry in 2022. In this episode you will learn: A look back at data science trends for 2021 [4:03] Micro and macro data science trends for 2022 [12:30] AutoML tools [15:20] The social implications of deepfakes [21:21] Scalable AI [38:40] Macro data science trends for 2022 [42:45] The impact of the remote-working economy in data science [43:21] Blockchain in data science [50:28] Data literacy of the global workforce [1:01:07] Additional materials: www.superdatascience.com/537

Sadie St. Lawrence returns to discuss the biggest data science trends that are set to take over the industry in 2022. In this episode you will learn:<ul>
<li>A look back at data science trends for 2021 [4:03]</li>
<li>Micro and macro data science trends for 2022 [12:30]</li>
<li>AutoML tools [15:20]</li>
<li>The social implications of deepfakes [21:21]</li>
<li>Scalable AI [38:40]</li>
<li>Macro data science trends for 2022 [42:45]</li>
<li>The impact of the remote-working economy in data science [43:21]</li>
<li>Blockchain in data science [50:28]</li>
<li>Data literacy of the global workforce [1:01:07]</li>
</ul> Additional materials: <a href="https://www.superdatascience.com/537" rel="noopener noreferrer">www.superdatascience.com/537</a>

537: Data Science Trends for 2022

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Science

Technology

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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537: Data Science Trends for 2022

537: Data Science Trends for 2022

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